WO2017086295A1

WO2017086295A1 - Body control device

Info

Publication number: WO2017086295A1
Application number: PCT/JP2016/083774
Authority: WO
Inventors: 健太福岡
Original assignee: シャープ株式会社
Priority date: 2015-11-19
Filing date: 2016-11-15
Publication date: 2017-05-26
Also published as: JPWO2017086295A1

Abstract

A body control device is provided which controls the body depending on the bodily state of the user. This body control device is provided with a noninvasive sensor 1 (a biological information acquisition unit) which acquires biological information about the user, a control frequency determination unit 2 which determines a control frequency on the basis of the biological information acquired in the noninvasive sensor 1, a modulated sound signal generation unit 3 which generates a modulated sound signal by modulating a sound signal prepared in advance with the control frequency determined in the control frequency determination unit 2, and an output unit 6 which outputs the modulated sound signal generated by the modulated sound signal generation unit 3.

Description

Body control device

This application claims the benefit of priority to Japanese Patent Application No. 2015-227061 filed on November 19, 2015, and the contents of all are incorporated herein by reference.

The following disclosure relates to a device for controlling the body.

In recent years, research for improving sleep and providing relaxation effects has been conducted. In Patent Document 1, two low-frequency electrical signals of speech itself to be learned or appreciated are set to two systems, and the frequency difference between the two low-frequency electrical signals is set to a desired brain wave frequency fa, so that the left and right ears An apparatus for guiding the frequency of the electroencephalogram to the frequency fa by outputting to each of the above is disclosed.

Japanese Patent No. 2750502

However, the apparatus described in Patent Document 1 can induce an electroencephalogram to a predetermined frequency fa, but cannot induce an electroencephalogram having an appropriate frequency according to the user's physical condition.

The following disclosure aims to provide a technique capable of controlling the body according to the physical condition of the user.

The body control device according to an embodiment of the present invention includes a biological information acquisition unit that acquires biological information of a user, a control frequency determination unit that determines a control frequency based on the biological information acquired by the biological information acquisition unit, A modulated sound signal generating unit that generates a modulated sound signal obtained by modulating a sound signal prepared in advance with a control frequency determined by the control frequency determining unit, and a modulated sound signal generated by the modulated sound signal generating unit is output. And an output unit.

According to the disclosure of the present embodiment, the user's biological information is acquired, and the control frequency is determined based on the acquired biological information. Therefore, the body is controlled based on an appropriate control frequency according to the user's physical state. be able to.

FIG. 1 is a block diagram illustrating a schematic configuration of the body control device according to the first embodiment. FIG. 2 is a diagram summarizing the types, frequencies, and characteristics of electroencephalograms. FIG. 3 is a diagram showing the relationship between the sleep stage, the electroencephalogram frequency at that time, and the electroencephalogram frequency induced in the sleep mode. FIG. 4 is a diagram showing a relationship between the frequency of the electroencephalogram (estimated frequency) in each sleep stage and the frequency of the electroencephalogram induced in the sleep mode. FIG. 5 is a diagram showing the relationship between the sleep stage, the electroencephalogram frequency at that time, and the electroencephalogram frequency induced in the awake mode. FIG. 6 is a diagram showing the relationship between the frequency (estimated frequency) of the electroencephalogram in each sleep stage and the frequency of the electroencephalogram induced in the wakefulness mode. FIG. 7 is a diagram illustrating an example of the time change of the sleep stage and the control timing in the mid-wake mode. FIG. 8 is a diagram illustrating an example of the time change of the sleep stage and the control timing in the lucid dream mode.

The body control device according to an embodiment of the present invention includes a biological information acquisition unit that acquires biological information of a user, a control frequency determination unit that determines a control frequency based on the biological information acquired by the biological information acquisition unit, A modulated sound signal generating unit that generates a modulated sound signal obtained by modulating a sound signal prepared in advance with a control frequency determined by the control frequency determining unit, and a modulated sound signal generated by the modulated sound signal generating unit is output. An output unit (first configuration).

According to the first configuration, the user's biological information is acquired, and the control frequency is determined based on the acquired biological information. Therefore, the body is controlled based on an appropriate control frequency according to the user's physical condition. Can do.

In the first configuration, the control frequency may be an electroencephalogram induction frequency (second configuration).

According to the second configuration, the body can be controlled by controlling the electroencephalogram based on the appropriate electroencephalogram induction frequency corresponding to the user's physical condition.

In the second configuration, when the control frequency determination unit guides the user to sleep, the control frequency determination unit estimates a brain wave frequency from the biological information acquired by the biological information acquisition unit, and has a frequency lower than the estimated brain wave frequency. May be determined as the induction frequency of the electroencephalogram (third configuration).

According to the third configuration, by setting a frequency lower than the estimated frequency of the electroencephalogram as the induction frequency of the electroencephalogram, the electroencephalogram can be induced to a low frequency, and the user can be guided to the sleep state.

In the second or third configuration, when the control frequency determination unit wakes up the user, the control frequency determination unit estimates a brain wave frequency from the biological information acquired by the biological information acquisition unit, and exceeds the estimated brain wave frequency. It is good also as a structure which determines a high frequency as an induced frequency of the said electroencephalogram (4th structure).

According to the fourth configuration, by setting a frequency higher than the estimated frequency of the electroencephalogram as the induction frequency of the electroencephalogram, the electroencephalogram can be induced to a high frequency, and the user can be guided to the awake state.

In any one of the second to fourth configurations, the control frequency determination unit is awakened by a sleep user or is likely to awaken based on the biological information acquired by the biological information acquisition unit. If it is determined that the brain wave frequency is estimated from the biological information acquired by the biological information acquisition unit, a frequency lower than the estimated brain wave frequency may be determined as the induced frequency of the brain wave ( Fifth configuration).

According to the fifth configuration, when it is determined that the sleeping user is awake or is about to wake up, the brain wave is generated by setting a frequency lower than the estimated frequency of the electroencephalogram as an induction frequency of the electroencephalogram. A low frequency can be induced and the user can be brought back to sleep again.

In any one of the second to fifth configurations, the control frequency determination unit may determine the induction frequency of the electroencephalogram to a frequency of 30 Hz or more when the user desires to have a lucid dream. Good (sixth configuration).

According to the sixth configuration, it is possible to guide the user to see a lucid dream.

In the first configuration, the control frequency may be one of a heart rate induction frequency and a respiration rate induction frequency (seventh configuration).

According to the seventh configuration, the body can be controlled by controlling the heart rate or the respiration rate based on the induction frequency of the appropriate heart rate or the induction frequency of the respiration rate according to the physical condition of the user. .

In any one of the first to seventh configurations, the modulated sound signal generation unit generates two sound signals whose frequency difference is a control frequency determined by the control frequency determination unit, and the output unit The two sound signals may be provided corresponding to the ears, and the two sound signals may be output from the two output units, respectively (eighth configuration).

According to the eighth configuration, by outputting a so-called binaural beat, an electroencephalogram can be induced to the control frequency, and thereby the body can be controlled.

In any one of the first to seventh configurations, the modulated sound signal generator generates a modulated sound that is amplitude-modulated based on the control frequency determined by the control frequency determiner with respect to the previously prepared sound signal. A configuration for generating a signal may be adopted (ninth configuration).

According to the ninth configuration, the modulated sound signal can be output in monaural rather than stereo.

In any one of the first to seventh configurations, the modulated sound signal generation unit is a modulated sound obtained by frequency-modulating the previously prepared sound signal based on the control frequency determined by the control frequency determination unit. It is good also as a structure which produces | generates a signal (10th structure).

According to the tenth configuration, the modulated sound signal can be output in monaural rather than stereo.

In any one of the first to seventh configurations, the modulated sound signal generation unit periodically performs sound image localization on the prepared sound signal based on the control frequency determined by the control frequency determination unit. Two modulated sound signals that are subjected to panning modulation that is changed in a row are generated, and two output units are provided corresponding to the left and right ears, and the two modulated sound signals are received from the two output units. It is good also as a structure each output (11th structure).

In any one of the first to seventh configurations, the modulated sound signal generation unit generates a modulated sound signal in which attenuated sound is output at intervals based on the control frequency determined by the control frequency determination unit. (12th structure).

According to the twelfth configuration, the modulated sound signal can be output in monaural rather than stereo.

In any one of the first to twelfth configurations, the apparatus further includes a volume determination unit that determines a volume of a modulated sound signal output from the output unit based on the biological information acquired by the biological information acquisition unit. The unit may be configured to output the modulated sound signal at a volume determined by the volume determination unit (a thirteenth configuration).

According to the thirteenth configuration, for example, in the case of guiding the user to sleep, the sound volume is gradually reduced according to the sleep state to induce the sleep state only at the time of sleep, and thereafter the user's natural sleep is reduced. Can be urged.

In any one of the first to thirteenth configurations, an adder that adds the modulated sound signal generated by the modulated sound signal generator to an arbitrary sound signal different from the previously prepared sound signal The output unit may output a sound signal added by the adding unit (fourteenth configuration).

When only the modulated sound signal is output, it may be heard as a harsh sound, but according to the fourteenth configuration, it is possible to prevent a sound signal including the modulated sound signal from being heard as a harsh sound.

[Embodiment]
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals and description thereof will not be repeated. In addition, in order to make the explanation easy to understand, in the drawings referred to below, the configuration is shown in a simplified or schematic manner, or some components are omitted. Further, the dimensional ratio between the constituent members shown in each drawing does not necessarily indicate an actual dimensional ratio.

In the following embodiments, an example of controlling a user's sleep using a body control device will be described. However, the use of the body control device is not limited to sleep control.

[First Embodiment]
FIG. 1 is a block diagram illustrating a schematic configuration of the body control device according to the first embodiment. The body control device in the first embodiment includes a non-invasive sensor (biological information acquisition unit) 1, a control frequency determination unit 2, a modulated sound signal generation unit 3, a sound source 4, an addition unit 5, and an output unit 6. And comprising.

The non-invasive sensor 1 is a sensor that can acquire a user's biological information without being directly attached to the body. By using the non-invasive sensor 1 as a sensor for acquiring the user's biological information, the biological information can be acquired without disturbing sleep.

As the non-invasive sensor 1, for example, a pressure sensor, a Doppler sensor, an acceleration sensor, or the like can be used. When a pressure sensor is used as the noninvasive sensor 1, for example, the biological information of the user is acquired by laying under a bedding. When a Doppler sensor is used as the non-invasive sensor 1, the user's biological information is acquired by outputting a signal such as a radio wave or light and receiving a signal reflected back to the user. When an acceleration sensor is used as the non-invasive sensor 1, for example, the biological information of the user is acquired by placing it on a comforter and measuring vibration caused by the user turning over.

The non-invasive sensor 1 acquires any information of body movement, heart rate, and respiration rate as user's biological information. Body movement, heart rate, and respiration rate are all closely correlated with the sleep state. However, the user's biological information is not limited to body movement, heart rate, or respiration rate.

For example, the sleep state can be estimated based on the frequency and magnitude of the body movement by measuring the body movement indicating how much the user moves while sleeping. When the frequency of body movement is high or when the body movement is large, sleep is shallow, and when the frequency of body movement is low or when the body movement is small, it is determined that sleep is deep.

The sleep state can be estimated by measuring the heart rate. That is, it is determined that sleep is deeper as the heart rate decreases and the fluctuation in heart rate decreases and stabilizes.

The sleep state can be estimated by measuring the respiratory rate. That is, it is determined that the sleep is deeper as the respiratory rate decreases and the fluctuation in the respiratory rate decreases and stabilizes.

The control frequency determination unit 2 determines the control frequency based on the operation mode and the user's biological information acquired by the non-invasive sensor 1. In the present embodiment, the control frequency is a frequency for inducing an electroencephalogram (induction frequency of an electroencephalogram).

In the present embodiment, the operation modes include a bedtime mode, an awakening mode, an awakening mode, and a lucid dream mode. The bedtime mode is a mode for leading to deep sleep at bedtime. The awakening mode is a mode for smoothly leading to awakening when waking up. The awakening mode is a mode for guiding the user to deep sleep again when he / she wakes up or is about to wake up. The lucid dream mode is a mode for guiding the lucid dream to be seen. Details of each operation mode will be described later.

FIG. 2 is a summary of the types, frequencies, and characteristics of the electroencephalogram. When the type of electroencephalogram is a γ wave, the frequency is 26 to 70 Hz, and the user is in an excited state. When the type of electroencephalogram is β-wave, the frequency is 14 to 38 Hz, and the user is in a normal daily life state. When the type of electroencephalogram is an α wave, the frequency is 8 to 14 Hz, and the user is in a relaxed state. When the type of electroencephalogram is a θ wave, the frequency is 4 to 8 Hz, and the user is in a sleep state. When the type of electroencephalogram is a δ wave, the frequency is 0.5 to 4 Hz, and the user is in a deep sleep state.

As shown in FIG. 2, the lower the electroencephalogram frequency, the quieter the body is. In particular, when the electroencephalogram is a θ wave or δ wave having a frequency of 8 Hz or less, it is in a sleep state, and in the case of a δ wave having a frequency of 4 Hz or less, it is a deep sleep state. For this reason, in order to control the user's sleep state, roughly speaking, if the brain wave is guided to a low frequency, it can lead to a deeper sleep state, and if the brain wave is guided to a high frequency, shallower sleep Can lead to a state.

The control frequency determination unit 2 determines the control frequency fa, that is, the induction frequency fa of the electroencephalogram based on the operation mode described in detail later and the user's biological information acquired by the non-invasive sensor 1.

The modulated sound signal generation unit 3 generates a modulated sound signal obtained by modulating a single sound signal prepared in advance based on the control frequency fa determined by the control frequency determination unit 2. A single tone includes not only a fundamental tone but also a fundamental tone and a harmonic overtone. In order to make the sound uncomfortable when the user hears it, the sound signal to be modulated is preferably a simple sound signal. Here, a description is given assuming that a single sound signal is modulated, but the sound signal to be modulated is not limited to a single sound, and may be a sound signal such as a melody.

The modulated sound signal generation unit 3 generates a sound signal having a frequency fx−fa obtained by shifting the frequency fx of a single sound signal prepared in advance by the control frequency fa determined by the control frequency determination unit 2, and generates a single sound having the frequency fx. A modulated sound signal obtained by adding the sound signal is generated.

The sound source 4 stores a sound signal to be added to the modulated sound signal generated by the modulated sound signal generation unit 3. The sound signal to be added to the modulated sound signal can be an arbitrary sound signal. However, as the sound signal to be added to the modulated sound signal, an appropriate sound signal is preferably used according to the operation mode. For example, in the bedtime mode, healing music or the like suitable for sleeping is used to lead to deep sleep. The sound signal stored in the sound source 4 is not limited to one type, and may be a plurality of types. As a sound signal stored in the sound source 4, music recorded on a CD, music downloaded via the Internet, or the like can be used.

The adding unit 5 adds the modulated sound signal generated by the modulated sound signal generating unit 3 and the sound signal stored in the sound source 4.

The output unit 6 is a speaker, for example, and outputs the sound signal added by the adding unit 5. Two speakers as the output unit 6 are provided corresponding to the left and right ears. However, there may be only one speaker or three or more speakers.

By outputting a modulated sound signal modulated based on the control frequency fa by the modulated sound signal generation unit 3, the brain wave can be induced to the control frequency fa. However, only a modulated sound obtained by modulating a single sound signal based on the control frequency fa may be annoying sound. Therefore, in this embodiment, the modulated sound signal generated by the modulated sound signal generation unit 3 is added to the sound signal stored in the sound source 4 and then output. For this reason, it can be said that the sound signal to be added to the modulated sound signal is a sound signal for hiding the modulated sound signal. Thereby, it is possible to prevent the sound signal including the modulated sound signal from being heard as an annoying sound.

Details of each operation mode of the sleep mode, the awake mode, the awake mode, and the lucid dream mode will be described. These operation modes are automatically set by the body control device, but the user may be able to freely set individual operation modes.

<Bedtime mode>
The bedtime mode is a mode for leading to deep sleep at bedtime. For example, if it is determined that the user is immediately after sleeping based on the biological information detected by the noninvasive sensor 1, the operation mode is set to the sleeping mode.

FIG. 3 is a diagram showing the relationship between the sleep stage, the electroencephalogram frequency at that time, and the control frequency in the sleep mode. The relationship between sleep stage and EEG frequency at that time is based on the international standard of sleep stage classification by Rechtschaffen & Kales.

In FIG. 3, “wakefulness”, “REM sleep”, “NON-REM sleep 1”, “NON-REM sleep 2”, “NON-REM sleep 3”, and “NON-REM sleep 4” are listed as sleep stages (sleep states). In the order of “awakening”, “REM sleep”, “NON-REM sleep 1”, “NON-REM sleep 2”, “NON-REM sleep 3”, and “NON-REM sleep 4”, the depth of sleep increases and the frequency of the electroencephalogram decreases. However, REM sleep is a state where the body is resting but the brain is active, and the frequency of the electroencephalogram may be higher than the “wakefulness” stage.

When the sleep stage is “wakefulness”, the frequency of the electroencephalogram is 8 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 4 to 8 Hz.

When the sleep stage is “REM sleep”, the frequency of the electroencephalogram is 12 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 4 to 8 Hz. However, as described above, REM sleep is a state where the body is resting but the brain is active. Therefore, when body motion is detected by the non-invasive sensor 1, the sleep stage of “REM sleep” Is difficult to detect. Moreover, REM sleep does not usually appear at the time of falling asleep and does not need to be taken into consideration in a sleep mode or a mid-wake mode described later. For this reason, the sleep stage of “REM sleep” may not be included in the control target.

When the sleep stage is “Non-REM sleep 1”, the frequency of the electroencephalogram is 8 to 15 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 4 to 8 Hz.

When the sleep stage is “NREM REM 2”, the frequency of the electroencephalogram is 4 to 8 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 2 to 4 Hz.

When the sleep stage is “Non-REM sleep 3”, the frequency of the electroencephalogram is 2 to 4 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 0.5 to 2 Hz.

When the sleep stage is “Non-REM sleep 4”, the frequency of the electroencephalogram is 0.5-2 Hz or more. In this case, the induced electroencephalogram frequency (control frequency fa) is 0.5 Hz or less.

That is, the sleep stage is determined based on the biological information detected by the noninvasive sensor 1, and the brain wave is induced at a frequency lower than the brain wave frequency of the sleep stage. Here, in the sleep stages of “wakefulness” and “rem sleep”, the frequency of the induced electroencephalogram is 4 to 8 Hz, and “non-REM sleep 1”, “non-REM sleep 2”, “non-REM sleep 3”, “non-REM sleep 4”. In each sleep stage, the frequency of the induced electroencephalogram is set to the electroencephalogram frequency of the sleep stage that is one stage lower in the deep sleep direction.

Thus, according to the sleep stage determined based on the biological information detected by the non-invasive sensor 1, the control frequency fa can be gradually lowered to lead to a deep sleep state smoothly. . That is, the induction frequency of the electroencephalogram (control frequency fa) is set to a frequency close to the frequency of the electroencephalogram at that time, and the induction frequency of the electroencephalogram is lowered step by step, thereby smoothly guiding to a deep sleep stage. it can.

The sleep stage shown in FIG. 3 is an example. Therefore, when determining the sleep stage based on the biological information detected by the non-invasive sensor 1, the sleep stage to be determined is not limited to the sleep stage shown in FIG.

Here, the frequency of the induced electroencephalogram should be lower than the actual electroencephalogram frequency. For example, it is possible to set a half of the brain wave frequency estimated based on the biological information detected by the non-invasive sensor 1 to the brain wave frequency to be guided (control frequency fa). For example, when it is determined that the sleep stage is non-REM sleep 2 based on biological information detected by the non-invasive sensor 1, the frequency of the electroencephalogram can be estimated as 4 to 8 Hz from FIG. In this case, the electroencephalogram frequency is estimated to be 6 Hz, which is the median value of 4 to 8 Hz, and the electroencephalogram induction frequency (control frequency fa) is set to a lower frequency, for example, 3 Hz, which is a half of that frequency To do.

FIG. 4 is a diagram showing the relationship between the frequency of the electroencephalogram (estimated frequency) in each sleep stage and the frequency of the electroencephalogram induced in the sleep mode. In FIG. 4, the horizontal axis represents the sleep stage, and the vertical axis represents the brain wave frequency. However, the horizontal axis indicates a shallow sleep stage toward the right side of FIG. As shown in FIG. 4, the frequency of the electroencephalogram induced in the sleep mode is lower than the electroencephalogram frequency (estimated frequency) in the sleep stage in any sleep stage.

The control frequency determination unit 2 holds table data indicating the relationship between the sleep stage and the induced brain wave frequency as shown in FIG. 4, and determines the induced brain wave frequency by referring to the table data. can do. In this case, the table data values may be only some representative values, and values between the representative values may be obtained by interpolation calculation.

More specifically, the control frequency determination unit 2 determines the sleep stage based on the biological information detected by the noninvasive sensor 1, and refers to the table data as shown in FIG. 4 from the determined sleep stage. Thus, the frequency of the induced electroencephalogram, that is, the control frequency fa is determined.

In the bedtime mode, at the time of going to bed, the sound signal added by the adder 5 starts to be output from the output unit 6 until a fixed time (for example, 1 hour) elapses or the sleep stage is a predetermined sleep stage (for example, The sound signal is continuously output from the output unit 6 until the non-REM sleep 4).

Here, it is preferable to reduce the volume of the sound signal output from the output unit 6 as the sleep stage changes in the deep sleep direction. That is, the volume of the sound signal output from the output unit 6 is gradually reduced as the sleep stage determined based on the biological information detected by the non-invasive sensor 1 proceeds in the deep sleep direction. Thereby, it can guide to a deep sleep state smoothly. Moreover, when other people are sleeping around, it can suppress that the sleep of the surrounding people is inhibited. In this case, a volume determination unit that determines the volume of the sound signal to be output based on the biological information detected by the noninvasive sensor 1 may be provided inside the output unit 6 or provided separately from the output unit 6. May be.

Further, the volume of the sound signal output from the output unit 6 may be lowered as time elapses after the control in the bedtime mode is started. By gradually lowering the volume over time, it is possible to smoothly lead to a deep sleep state. Moreover, when other people are sleeping around, it can suppress that the sleep of the surrounding people is inhibited. However, in this method, the sound volume becomes 0 after a lapse of a certain time, but at that time, the user may not have reached a sufficiently deep sleep stage. For this reason, it is preferable to lower the volume according to the sleep stage.

The sleep state transition information may be created based on the biological information detected by the non-invasive sensor 1 and presented to the user the next morning. For example, based on the biological information detected by the non-invasive sensor 1, a graph showing the transition of the brain wave frequency of the user is created. If a display is provided in the body control device and a graph showing frequency transition is displayed on the display, the user can grasp his / her sleep state.

<Wake mode>
The awakening mode is a mode for smoothly leading to awakening when waking up. For example, when the predetermined time before the wake-up time set in advance by the user, the operation mode is set to the awakening mode.

FIG. 5 is a diagram showing the relationship between the sleep stage, the electroencephalogram frequency at that time, and the control frequency in the awakening mode. The relationship between sleep stage and EEG frequency at that time is based on the international standard of sleep stage classification by Rechtschaffen & Kales.

Also in FIG. 5, “wakefulness”, “REM sleep”, “NON-REM sleep 1”, “NON-REM sleep 2”, “NON-REM sleep 3”, and “NON-REM sleep 4” are listed as sleep stages.

When the sleep stage is “Non-REM sleep 4”, the frequency of the electroencephalogram is 0.5-2 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 2 to 4 Hz.

When the sleep stage is “Non-REM sleep 3”, the frequency of the electroencephalogram is 2 to 4 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 4 to 8 Hz.

When the sleep stage is “NREM REM 2”, the frequency of the electroencephalogram is 4 to 8 Hz or more. In this case, the induced electroencephalogram frequency (control frequency fa) is 8 to 15 Hz.

When the sleep stage is “Non-REM sleep 1”, the frequency of the electroencephalogram is 8 to 15 Hz or more. In this case, the induced electroencephalogram frequency (control frequency fa) is 16 Hz or less.

When the sleep stage is “REM sleep”, the frequency of the electroencephalogram is 12 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 16 Hz or more. However, as described above, when the body motion is detected by the non-invasive sensor 1, it is difficult to detect the sleep stage of “REM sleep”, so the sleep stage of “REM sleep” is not included in the control target. You may do it.

When the sleep stage is “wakefulness”, the frequency of the electroencephalogram is 8 Hz or more. In this case, the frequency of the induced electroencephalogram (control frequency fa) is 16 Hz or more.

That is, the sleep stage is determined based on the biological information detected by the non-invasive sensor 1, and the electroencephalogram is induced at a frequency higher than the electroencephalogram frequency of the sleep stage. Here, in the sleep stages of “wakefulness”, “REM sleep”, and “non-REM sleep 1”, the frequency of the induced electroencephalogram is 16 Hz or more, and “NON-REM sleep 2”, “NON-REM sleep 3”, “NON-REM sleep 4”. In each sleep stage, the frequency of the induced electroencephalogram is set to the electroencephalogram frequency of the sleep stage that is higher by one stage in the direction of shallow sleep.

Thus, by gradually increasing the control frequency fa according to the sleep stage determined based on the biological information detected by the non-invasive sensor 1, it is possible to smoothly lead to an awake state. That is, by setting the induction frequency (control frequency fa) of the electroencephalogram to a frequency close to the frequency of the electroencephalogram at that time, it is possible to induce smoothly to the awakening stage.

Here, the frequency of the induced electroencephalogram should be higher than the actual electroencephalogram frequency. For example, a frequency that is twice the frequency of the electroencephalogram estimated based on the biological information detected by the noninvasive sensor 1 can be set as the frequency of the electroencephalogram to be induced (control frequency fa). For example, when it is determined that the sleep stage is non-REM sleep 2 based on the biological information detected by the noninvasive sensor 1, the frequency of the electroencephalogram can be estimated as 4 to 8 Hz from FIG. In this case, the electroencephalogram frequency is estimated to be 6 Hz, which is the median value of 4 to 8 Hz, and the electroencephalogram induction frequency (control frequency fa) is set to a higher frequency, for example, 12 Hz, which is twice that frequency. .

FIG. 6 is a diagram showing a relationship between the frequency of the electroencephalogram (estimated frequency) in the sleep stage and the frequency of the electroencephalogram induced in the wakefulness mode. In FIG. 6, the horizontal axis represents the sleep stage, and the vertical axis represents the frequency of the electroencephalogram. However, the horizontal axis indicates a shallow sleep stage toward the right side of FIG. As shown in FIG. 6, the frequency of the induced electroencephalogram is higher than the frequency of the electroencephalogram (estimated frequency) in the sleep stage at any sleep stage.

The control frequency determination unit 2 holds table data indicating the relationship between the sleep stage and the induced brain wave frequency as shown in FIG. 6, and determines the induced brain wave frequency by referring to the table data. can do. In this case, the table data values may be only some representative values, and values between the representative values may be obtained by interpolation calculation.

More specifically, the control frequency determination unit 2 determines the sleep stage based on the biological information detected by the noninvasive sensor 1, and refers to the table data as shown in FIG. 6 from the determined sleep stage. Thus, the frequency of the induced electroencephalogram, that is, the control frequency fa is determined.

In the awakening mode, the sound signal added by the adding unit 5 is output from the output unit 6 from a predetermined time (for example, 30 minutes before) a wake-up time preset by the user. At this time, it is preferable not to suddenly increase the volume of the sound signal output from the output unit 6, but to gradually increase the volume.

Also, it is preferable to increase the volume of the sound signal output from the output unit 6 as the sleep stage changes in a direction in which sleep is shallow. That is, the sound volume is increased little by little as the sleep stage determined based on the biological information detected by the non-invasive sensor 1 proceeds in the direction of shallow sleep. Thereby, it can guide to an awakening state smoothly.

Also, the volume of the sound signal output from the output unit 6 may be increased as time elapses after the control in the awake mode is started. By gradually increasing the volume, it is possible to smoothly lead to an awakened state.

According to the control in the wake-up mode, the user can be woken up by the wake-up time. However, it may be impossible to wake up by the wake-up time only by outputting the sound signal from the output unit 6. Therefore, an alarm sound may be sounded at the wake-up time. As an alarm sound, a general alarm clock alarm sound can be used. Thereby, a user's oversleeping can be prevented.

<Mode when waking up midway>
Some users are worried about awakening on the way, when they wake up during sleep and then have difficulty sleeping. The awakening mode is a mode for guiding the user to deep sleep again when he / she wakes up or is about to wake up. For example, based on the biological information detected by the non-invasive sensor 1, when it is determined that the sleeping user is awake or is about to awake, the operation mode is set to the mid-wake mode.

In the mid-wake mode, when the sleep stage estimated based on the biological information detected by the noninvasive sensor 1 becomes a predetermined sleep stage, control is performed to lead to deep sleep again. The predetermined sleep stage is, for example, “non-REM sleep 1” or “wakefulness”. The control for leading to deep sleep is the same as the control performed in the bedtime mode. For example, when the sleep stage changes from non-REM sleep 2 to non-REM sleep 1, the operation mode becomes a mid-wake mode, and the frequency for inducing brain waves (control frequency fa) is lower than the electroencephalogram frequency for non-REM sleep 1 (see FIG. 3, the frequency is set to 4 to 8 Hz.

In the mid-wake mode, when the sleep stage becomes a predetermined sleep stage, the sound signal added by the adder 5 starts to be output from the output unit 6. At this time, the volume of the sound signal output from the output unit 6 may not be suddenly increased but gradually increased. Also, the sound signal is output from the output unit 6 until a certain time elapses after the sound signal starts to be output from the output unit 6 or until the sleep stage reaches a predetermined sleep stage (for example, non-REM sleep 4). Keep doing. At this time, as in the bedtime mode, the volume may be gradually decreased as the sleep stage changes in the deeper direction of sleep or as time elapses. By gradually lowering the volume, it is possible to smoothly lead to a deep sleep state.

FIG. 7 is a diagram showing an example of the time change of the sleep stage and the control timing in the awakening mode. In FIG. 7, the horizontal axis represents time, and the vertical axis represents the sleep stage. However, the vertical axis indicates a shallower sleep stage toward the upper side of FIG.

In FIG. 7, after going to bed, the sleep stage gradually becomes deeper and the user is in a sleep state, but at time T <b> 1, the sleep stage becomes “non-REM sleep 1”, and control in the awakening mode is started midway Has been. Whether or not the sleep stage is “non-REM sleep 1” can be determined based on the user's biological information acquired by the non-invasive sensor 1.

As described in the bedtime mode, the control frequency determination unit 2 sets the frequency (control frequency) fa for inducing brain waves to a frequency lower than the brain wave frequency corresponding to the sleep stage at that time. Therefore, at time T1 when the sleep stage becomes “Non-REM sleep 1”, the control frequency fa for inducing brain waves is set to 4 to 8 Hz. As a result, the frequency of the electroencephalogram gradually decreases.

In the example shown in FIG. 7, the control in the mid-wake mode is terminated when the sleep stage becomes “non-REM sleep 4” at time T2. However, the mid-wake mode may be terminated when a predetermined sleep stage other than the non-REM sleep 4 is reached, or may be terminated when a certain time has elapsed since the start of the mid-wake mode control. Also good.

According to the control in the mid-wake mode, even if the mid-wake is suppressed, or even if the mid-wake is awake, it can lead to sleep again.

<Lucid dream mode>
The lucid dream mode is a mode for guiding the lucid dream to be seen. A lucid dream is a dream that you see as you realize it. For example, you can freely control the situation of the dream, such as a dream that flies in the sky.

The German research team announced in a paper (Nature Neuroscience, June 2014, Volume 17, P810-812) that the brain wave can be induced with high probability by inducing brain waves to about 40 Hz. While dreaming lucidly, the human brain is in a light excitement. That is, during sleep, it may be possible to see lucid dreams by guiding the brain to a light excitement state.

Therefore, in the lucid dream mode, the control frequency determination unit 2 sets a frequency of 30 Hz or more as the frequency of the electroencephalogram to be induced (control frequency). By setting the frequency of the electroencephalogram to be guided to 30 Hz or more, the brain can be led to a light excitement state and can be guided so that a clear dream can be seen. As announced by a German research team, it is preferable to set a frequency of 40 Hz out of a frequency of 30 Hz or more as a frequency of the induced electroencephalogram.

The lucid dream mode is preferably activated only when the user wishes to see the lucid dream. Accordingly, when the user turns on the lucid dream mode and no other control mode is activated during the user's sleep, the lucid dream mode is activated. For example, if another control mode is not active after a certain period of time (e.g., 30 minutes) after the bedtime mode ends, the control in the clear dream mode is started at that time. The control time in the lucid dream mode may be limited to a predetermined time, for example, or may be set by the user.

When outputting the sound signal from the output unit 6 during the operation of the lucid dream mode, it is preferable to gradually increase the volume. Further, it is preferable that a sound for letting the user notice that he / she is dreaming is played from the speaker when the lucid dream mode is activated. This speaker may be a speaker constituting the output unit 6, or may be a speaker different from the speaker constituting the output unit 6. The voice for notifying the user that he / she is dreaming is, for example, a voice such as “You are in a dream now”. By playing such a sound simultaneously, the possibility of more lucid dreaming is increased.

FIG. 8 is a diagram showing an example of the time change of the sleep stage and the control timing in the lucid dream mode. In FIG. 8, the horizontal axis represents time, and the vertical axis represents the sleep stage. However, the vertical axis indicates a shallower sleep stage toward the upper side of FIG.

Referring to FIG. 8, the bedtime mode control is performed between times T10 and T11. The lucid dream mode is started at time T12 after a lapse of a certain time (for example, 30 minutes) after the bedtime mode ends. During control in the lucid dream mode, since the control frequency fa is set to a frequency of 30 Hz or higher, the electroencephalogram is controlled in the “wakefulness” stage.

According to the lucid dreaming mode, the user can be guided to the lucid dreaming.

[Second Embodiment]
In the body control device according to the first embodiment, the same sound signal is output from the two output units 6. In the body control apparatus according to the second embodiment, different sound signals, specifically so-called binaural beats, are output from the two output units 6.

The modulated sound signal generating unit 3 generates a modulated sound signal obtained by modulating a monaural sound signal prepared in advance based on the control frequency fa determined by the control frequency determining unit 2. The monaural sound signal is, for example, a single continuous sound or a melody, but a sound having a wide frequency range is not desirable (preferably within one octave).

The modulated sound signal generation unit 3 generates a sound signal having a frequency fx−fa obtained by shifting the frequency fx of the sound signal prepared in advance by the control frequency fa determined by the control frequency determination unit 2. That is, the modulated sound signal generation unit 3 generates two sound signals whose frequency difference is the control frequency fa. The two sound signals whose frequency difference is the control frequency fa may be, for example, a sound signal of frequency fx and a sound signal of frequency fx + fa, or a sound signal of frequency fx−fa / 2 and a sound signal of frequency fx + fa / 2. good.

The addition unit 5 adds the sound signal stored in the sound source 4 to the sound signal having the frequency fx, and adds the sound signal stored in the sound source 4 to the sound signal having the frequency fx-fa.

One of the left and right output units 6 outputs a sound signal obtained by adding the sound signal stored in the sound source 4 to the sound signal having the frequency fx, and the other output unit 6 outputs the frequency signal. A sound signal obtained by adding the sound signal stored in the sound source 4 to the sound signal of fx-fa is output.

Such a sound signal is known as a binaural beat. In other words, the brain waves can be induced to the control frequency fa by letting the left and right ears hear two sound signals that differ by the control frequency fa. *

[Third Embodiment]
In the body control device according to the third embodiment, the modulated sound signal generation unit 3 performs amplitude modulation on a sound signal such as a single sound prepared in advance based on the control frequency fa determined by the control frequency determination unit 2. Thus, a modulated sound signal is generated. For example, amplitude modulation of the control frequency fa is performed by multiplying a sound signal such as a single sound prepared in advance by {a · sin (2π · fa · t) + (1-a)}. Here, a is a constant that satisfies the relationship 0 <a <1/2, and t is a variable that represents time. Thus, by outputting a sound signal subjected to amplitude modulation based on the control frequency fa, the brain wave can be induced to the control frequency fa.

According to the present embodiment, it is not necessary to listen to the sound signal for inducing the electroencephalogram to the control frequency fa in stereo. That is, the binaural beat described in the second embodiment needs to generate two sound signals whose frequency difference is the control frequency fa and listen in stereo, but the sound subjected to amplitude modulation based on the control frequency fa The signal does not have to be heard in stereo.

[Fourth Embodiment]
In the body control device according to the fourth embodiment, the modulated sound signal generation unit 3 performs frequency modulation on a sound signal such as a single sound prepared in advance based on the control frequency fa determined by the control frequency determination unit 2. Thus, a modulated sound signal is generated. For example, frequency modulation of the control frequency fa is performed by performing a frequency shift of b · sin (2π · fa · t) on a sound signal such as a single sound prepared in advance. Here, b is the amplitude of frequency modulation, and t is a variable representing time.

According to the present embodiment, it is not necessary to listen to the sound signal for inducing the electroencephalogram to the control frequency fa in stereo. That is, the binaural beat described in the second embodiment needs to generate two sound signals having a frequency difference of the control frequency fa and listen in stereo, but the sound subjected to frequency modulation based on the control frequency fa The signal does not have to be heard in stereo.

[Fifth Embodiment]
In the body control apparatus according to the fifth embodiment, the modulated sound signal generation unit 3 periodically performs sound image localization on a sound signal such as a single sound prepared in advance based on the control frequency fa determined by the control frequency determination unit 2. A modulated sound is generated by performing panning modulation that is changed in a stepwise manner. The sound signal subjected to panning modulation is a stereo sound source. However, when the sound signal subjected to panning modulation is a monaural sound source, two identical sound signals are prepared in order to output the same sound signal from the left and right output units 6.

For example, the modulated sound signal generation unit 3 multiplies one of two sound signals prepared in advance by {c · sin (2π · fa · t) + (1-c)}, and the other is {−c Multiply sin (2π · fa · t) + (1-c)} to perform panning modulation of the control frequency fa. Here, c is a constant that satisfies the relationship 0 <c <1/2, and t is a variable that represents time.

Also by the control according to the present embodiment, the frequency of the electroencephalogram can be guided to the control frequency fa. Further, by combining with the modulation methods described in the second to fourth embodiments described above, the effect of leading the electroencephalogram frequency to the control frequency fa can be further enhanced. For example, when combining with the modulation method described in the second embodiment, the sound signal having the frequency fx is multiplied by {c · sin (2π · fa · t) + (1-c)} to obtain the frequency fx−fa. Is multiplied by {−c · sin (2π · fa · t) + (1−c)}.

[Sixth Embodiment]
In each of the above-described embodiments, the control frequency fa for inducing the electroencephalogram is usually 20 Hz or less. For this reason, a modulated sound signal obtained by modulating an existing sound signal is generated and output.

In the body control device according to the sixth embodiment, the attenuation sound prepared in advance is output based on the control frequency fa determined by the control frequency determination unit 2. Attenuating sound is sound that gradually attenuates and disappears.

Specifically, the attenuation sound is output from the output unit 6 at 1 / fa (second) intervals. It can be said that the attenuated sound output at 1 / fa (second) intervals is a modulated sound modulated based on the control frequency fa. For example, when the control frequency fa determined by the control frequency determination unit 2 is 2 Hz, the attenuation sound is output at a pace of 2 times per second (0.5 second interval). Even in this method, the electroencephalogram can be induced to the control frequency fa.

According to the present embodiment, it is not necessary to listen to the sound signal for inducing the electroencephalogram to the control frequency fa in stereo. In other words, the binaural beat described in the second embodiment needs to generate two sound signals whose frequency difference is the control frequency fa and listen in stereo, but this book that outputs an attenuation sound based on the control frequency fa. According to the configuration of the embodiment, there is no need to listen in stereo.

The above-described embodiment is merely an example for carrying out the present invention. Therefore, the present invention is not limited to the above-described embodiment, and can be implemented by appropriately modifying the above-described embodiment without departing from the spirit thereof.

For example, in the above-described embodiment, the modulated sound signal generated by the modulated sound signal generation unit 3 and the sound signal stored in the sound source 4 are added and output. The modulated sound signal may be output as it is. In this case, the body control device includes a biological information acquisition unit that acquires the biological information of the user, a control frequency determination unit that determines a control frequency based on the biological information acquired by the biological information acquisition unit, and a sound signal prepared in advance. Is provided with a modulated sound signal generating unit that generates a modulated sound signal modulated by the control frequency determined by the control frequency determining unit, and an output unit that outputs the modulated sound signal generated by the modulated sound signal generating unit. However, as described above, if the modulated sound signal generated by the modulated sound signal generation unit 3 is output as it is, it may be recognized as an annoying sound. For example, in the bedtime mode, it may interfere with sleep. There is sex. For this reason, it is preferable that the modulated sound signal generated by the modulated sound signal generation unit 3 and the sound signal stored in the sound source 4 are added and output as in the above-described embodiment.

Although the non-invasive sensor 1 is used as a sensor for acquiring the user's biological information, a sensor directly attached to the body may be used. However, if a non-invasive sensor that is not directly attached to the body is used, biological information can be acquired without disturbing sleep. Therefore, it is preferable to use a non-invasive sensor. Moreover, if a user's biometric information has a correlation with a sleep state, it will not be limited to the above-mentioned user's body movement, heart rate, or respiration rate.

In each embodiment described above, the control frequency determination unit 2 determines the induction frequency of the electroencephalogram as the control frequency fa based on the biological information detected by the non-invasive sensor 1. However, the induction frequency of the heart rate may be set as the control frequency fa. That is, by setting a heart rate induction frequency as the control frequency fa and modulating and outputting a sound signal such as a single sound with the control frequency fa, the heart rate frequency can be induced to the control frequency fa. There is a correlation between the sleep stage and the heart rate frequency. The deeper the sleep, the lower the heart rate, the lower the heart rate frequency, and the fluctuation of the heart rate (heart rate frequency). Less and stable. In this case, as shown in FIG. 3, the relationship between the sleep stage and the frequency of the heart rate is grasped in advance, the sleep stage is determined based on the biological information detected by the non-invasive sensor 1, and the sleep stage is The control frequency fa is set to a frequency lower than the corresponding heart rate frequency. Then, by outputting a modulated sound signal obtained by modulating a sound signal such as a single sound with the control frequency fa, the frequency of the heart rate can be induced to the control frequency fa.

Also, the induction frequency of the respiratory rate may be set as the control frequency fa. That is, by setting a respiration rate induction frequency as the control frequency fa and modulating and outputting a sound signal such as a single sound with the control frequency fa, the respiration rate frequency can be induced to the control frequency fa. There is a correlation between the sleep stage and the frequency of breathing. The deeper the sleep, the lower the breathing rate, the lower the breathing frequency, and the fluctuation in the breathing rate (breathing frequency). Less and stable. In this case, as shown in FIG. 3, the relationship between the sleep stage and the frequency of the respiratory rate is grasped in advance, the sleep stage is determined based on the biological information detected by the non-invasive sensor 1, and the sleep stage is The control frequency fa is set to a frequency lower than the frequency of the corresponding respiratory rate. Then, by outputting a modulated sound signal obtained by modulating a sound signal such as a single sound with the control frequency fa, the frequency of the respiratory rate can be induced to the control frequency fa.

In the above-described embodiment, an example in which a user's sleep is controlled using a body control device has been described, but the application is not limited to sleep control. For example, it can be used to control the user's body when the user is driving, studying, working, or wanting to relax. For example, when it is determined that the user is about to sleep based on the biological information detected by the noninvasive sensor 1 during driving, studying, working, etc., the control frequency fa is set to the frequency of the electroencephalogram at that time ( By setting the frequency higher than the (estimated frequency) and guiding the frequency of the electroencephalogram to a higher frequency, the user can be guided to an arousal state. When the user wants to relax, the control frequency fa can be relaxed by setting the control frequency fa to 8 to 14 Hz corresponding to the state of the α wave. In this case, when it is determined that the user is in an excited state based on the biological information detected by the noninvasive sensor 1, the control frequency fa is set to a frequency lower than the frequency (estimated frequency) of the brain wave at that time, and the brain wave By gradually decreasing the control frequency fa based on the estimated frequency, the brain wave can be smoothly guided to the α wave state.

In the body control device described in the above embodiment (including modifications), each block may be individually made into one chip by a semiconductor device such as an LSI, or made into one chip so as to include a part or all. May be.

In addition, although it was set as LSI here, it may be called IC, system LSI, super LSI, and ultra LSI depending on the degree of integration.

Also, the method of circuit integration is not limited to LSI, and may be realized by a dedicated circuit or a general-purpose processor. An FPGA (Field Programmable Gate Array) that can be programmed after manufacturing the LSI, or a reconfigurable processor that can reconfigure the connection and setting of circuit cells inside the LSI may be used.

Furthermore, if integrated circuit technology that replaces LSI emerges as a result of advances in semiconductor technology or other derived technology, it is naturally also possible to integrate functional blocks using this technology. Biotechnology can be applied as a possibility.

Further, part or all of the processing of each functional block in each of the above embodiments may be realized by a program. A part or all of the processing of each functional block in each of the above embodiments is performed by a central processing unit (CPU), a microprocessor, a processor, or the like in the computer. A program for performing each processing is stored in a storage device such as a hard disk or a ROM, and is read out and executed in the ROM or the RAM. The storage device (storage medium) is a tangible material that is not temporary, and for example, a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used.

Further, each process of the above embodiment may be realized by hardware, or may be realized by software (including a case where it is realized together with an OS (operating system), middleware, or a predetermined library). Further, it may be realized by mixed processing of software and hardware. Needless to say, when the body control device according to the above embodiment is realized by hardware, it is necessary to adjust the timing for performing each process. In the above embodiment, for convenience of explanation, details of timing adjustment of various signals generated in actual hardware design are omitted.

DESCRIPTION OF SYMBOLS 1 ... Non-invasive sensor, 2 ... Control frequency determination part, 3 ... Modulation sound signal generation part, 4 ... Sound source, 5 ... Addition part, 6 ... Output part

Claims

A biometric information acquisition unit that acquires biometric information of the user;
A control frequency determination unit that determines a control frequency based on the biological information acquired by the biological information acquisition unit;
A modulated sound signal generating unit that generates a modulated sound signal obtained by modulating a sound signal prepared in advance with the control frequency determined by the control frequency determining unit;
An output unit for outputting the modulated sound signal generated by the modulated sound signal generating unit;
A body control device.
The body control device according to claim 1, wherein the control frequency is an induction frequency of an electroencephalogram.
When the control frequency determination unit guides the user to sleep, the control frequency determination unit estimates the frequency of the electroencephalogram from the biometric information acquired by the biometric information acquisition unit, and derives a frequency lower than the estimated electroencephalogram frequency. The body control device according to claim 2, wherein the body control device is determined as a frequency.
When the control frequency determination unit awakens the user, the control frequency determination unit estimates a brain wave frequency from the biological information acquired by the biological information acquisition unit, and determines a higher frequency than the estimated brain wave frequency as the induced frequency of the brain wave. The body control device according to claim 2, wherein the body control device is determined as follows.
When the control frequency determination unit determines that the sleeping user is awake or is about to awake based on the biological information acquired by the biological information acquisition unit, the biological information acquisition unit The body control device according to any one of claims 2 to 4, wherein a frequency of an electroencephalogram is estimated from the biological information acquired in step (b), and a frequency lower than the estimated electroencephalogram frequency is determined as the induction frequency of the electroencephalogram. .
The body according to any one of claims 2 to 5, wherein the control frequency determination unit determines the induction frequency of the electroencephalogram to be a frequency of 30 Hz or more when the user desires to have a lucid dream. Control device.
The body control device according to claim 1, wherein the control frequency is one of a heart rate induction frequency and a respiration rate induction frequency.
The modulated sound signal generation unit generates two sound signals whose frequency difference is the control frequency determined by the control frequency determination unit,
The body according to any one of claims 1 to 7, wherein two output units are provided corresponding to left and right ears, and the two sound signals are respectively output from the two output units. Control device.
The modulated sound signal generation unit generates a modulated sound signal obtained by modulating the amplitude of the previously prepared sound signal based on the control frequency determined by the control frequency determination unit. The body control device according to claim 1.
The modulated sound signal generation unit generates a modulated sound signal that is frequency-modulated based on the control frequency determined by the control frequency determination unit with respect to the sound signal prepared in advance. The body control device according to claim 1.
The modulated sound signal generation unit performs two modulations on the sound signal prepared in advance by performing panning modulation that periodically changes sound image localization based on the control frequency determined by the control frequency determination unit. Generate sound signals,
8. The output unit according to claim 1, wherein two output units are provided corresponding to left and right ears, and the two modulated sound signals are output from the two output units, respectively. Body control device.
8. The modulated sound signal generation unit according to claim 1, wherein the modulated sound signal generation unit generates a modulated sound signal in which an attenuation sound is output at an interval based on the control frequency determined by the control frequency determination unit. Body control device.
Based on the biological information acquired by the biological information acquisition unit, further comprises a volume determination unit that determines the volume of the modulated sound signal output from the output unit,
The body control device according to any one of claims 1 to 12, wherein the output unit outputs the modulated sound signal at a volume determined by the volume determination unit.
An additional unit that adds the modulated sound signal generated by the modulated sound signal generating unit to an arbitrary sound signal different from the previously prepared sound signal;
The body control apparatus according to claim 1, wherein the output unit outputs the sound signal added by the adding unit.