JP6937480B2 - Awakening guidance system - Google Patents

Description

The present disclosure relates to arousal guidance system.

Conventionally, an arousal induction control device that induces a person's arousal has been proposed so as to awaken a person's drowsiness. For example, Patent Document 1 discloses a device that stimulates a person by heat by controlling air conditioning and induces the awakening of the person. Further, for example, Patent Document 2 and Patent Document 3 disclose a device that stimulates a person by sound by controlling the sound and induces the awakening of the person. Further, Patent Document 4 discloses a device that stimulates a person by the scent and induces the awakening of the person by controlling the device that generates the scent.

Japanese Unexamined Patent Publication No. 2005-186657 Japanese Unexamined Patent Publication No. 2009-31905 Japanese Unexamined Patent Publication No. 11-109985 Japanese Unexamined Patent Publication No. 11-310053

However, the conventional device for inducing awakening of a person detects the drowsiness of the person and then induces the awakening of the person. That is, since arousal is induced after a person becomes drowsy once, the actual situation is that it takes time for the arousal level to increase.

Therefore, it is an object of the present disclosure to increase the arousal level of a person by enabling arousal induction by various devices before the person becomes drowsy.

In order to solve the above problems, the sleepiness estimation device according to one aspect of the present disclosure is based on a sensor that detects at least one of information on a person's heat and the person's surrounding environment, and a sensor detection result. It also includes an estimation unit that estimates the degree of sleepiness of a person for each individual.

Further, the awakening guidance system according to one aspect of the present disclosure is for changing the surrounding environment of a person based on the sleepiness estimation device and the sleepiness estimation device estimated by the sleepiness estimation device. A control device for controlling the device to induce the awakening of the person is provided.

According to the present disclosure, it is possible to induce arousal by various devices before a person becomes drowsy, and it is possible to increase the arousal level of the person.

FIG. 1 is a block diagram showing a functional configuration of the sleepiness estimation device according to the first embodiment. FIG. 2 is a schematic view showing an example of an installed state of the thermal image sensor according to the embodiment. It is a schematic diagram which shows an example of the thermal image of the person acquired by the thermal image sensor of FIG. FIG. 4 is a schematic view showing another example of thermal image photographing by the thermal image sensor according to the embodiment. FIG. 5 is a schematic view showing an example of a thermal image of a person acquired by the thermal image sensor 21 of FIG. FIG. 6 is a graph showing the relationship between the degree of sleepiness and the amount of heat released. FIG. 7 is a graph showing the relationship between the degree of sleepiness and the environmental temperature (air temperature). FIG. 8 is a flowchart showing a procedure for estimating the degree of sleepiness of a person by the sleepiness estimation device according to the first embodiment. FIG. 9 is a flowchart showing a procedure for estimating the degree of sleepiness of a person according to the second embodiment. FIG. 10 is a flowchart showing a procedure for estimating the degree of sleepiness of a person according to the third embodiment. FIG. 11 is a block diagram showing a functional configuration of the sleepiness estimation device according to the fourth embodiment. FIG. 12 is a schematic view showing an example of the installation state of the illuminance sensor according to the embodiment. FIG. 13 is a graph showing the relationship between the degree of sleepiness and the illuminance. FIG. 14 is a block diagram showing a functional configuration of the sleepiness estimation device according to the fifth embodiment. FIG. 15 is a block diagram showing a functional configuration of the sleepiness estimation device according to the sixth embodiment. FIG. 16 is a graph showing the amount of fluctuation in the drowsiness level after a predetermined time when the amount of heat released by a person is 33 W / m ^2. FIG. 17 is a graph showing the amount of fluctuation in the drowsiness level after a predetermined time when the heat dissipation amount of a person is 50 W / m ^2. FIG. 18 is a block diagram showing a functional configuration of the awakening guidance system according to the seventh embodiment. FIG. 19 is a graph showing the relationship between the comfort level of a person and the amount of heat released. FIG. 20 is a block diagram showing a functional configuration of the awakening guidance system according to the ninth embodiment.

(Summary of this disclosure)
In order to solve the above problems, the sleepiness estimation device according to one aspect of the present disclosure is based on a sensor that detects at least one of information on a person's heat and the person's surrounding environment, and a sensor detection result. It also has an estimation unit that estimates the degree of sleepiness of a person for each individual.

According to this, the estimation unit estimates the degree of sleepiness of a person for each individual based on at least one of the information about the person's heat and the surrounding environment of the person detected by the sensor. That is, even a person who is not drowsy can estimate the degree of drowsiness at that time for each individual based on the information about the person's heat or the surrounding environment. Therefore, if such a sleepiness estimation device is adopted in the awakening guidance system, it is possible to induce awakening by various devices before a person becomes drowsy. This makes it possible to increase the arousal level of a person.

The sensor may also include a thermal image sensor that acquires a thermal image of a person as information about the heat of the person.

Here, the thermal image sensor can easily acquire a thermal image for each individual. Therefore, it is possible to easily estimate the degree of sleepiness of each individual based on the thermal image of the person acquired by the thermal image sensor.

Further, the estimation unit may calculate the heat dissipation amount or the feeling of warmth and coldness of a person from the thermal image acquired by the thermal image sensor, and estimate the degree of sleepiness for each individual based on the heat dissipation amount or the feeling of warmth and coldness. good.

Here, it is known that the amount of heat dissipated or the feeling of warmth and coldness of a person tends to show a tendency of the degree of drowsiness. That is, since the estimation unit estimates the degree of sleepiness of the person based on the heat dissipation amount or the feeling of warmth and coldness of the person, it is possible to accurately estimate the degree of sleepiness of the person.

Further, the sensor may include an illuminance sensor that detects the illuminance around the person as the surrounding environment of the person.

According to this, it is possible to estimate the degree of sleepiness of the person by detecting the illuminance around the person.

Further, the sensor may include a gas sensor that detects the concentration of a gas component around the person as the surrounding environment of the person.

According to this, it is possible to estimate the degree of sleepiness of the person by detecting the gas component around the person.

In addition, a notification unit may be provided to notify the degree of sleepiness.

According to this, since the notification unit notifies the degree of sleepiness, the estimated degree of sleepiness can be notified to a person. The degree of drowsiness that a person is not aware of can be grasped by this notification, and can be reflected in future measures against drowsiness.

In addition, the awakening guidance system controls a device for changing the surrounding environment of a person based on the sleepiness estimation device and the sleepiness estimation device estimated by the sleepiness estimation device. A control device for inducing arousal may be provided.

According to this, the control device can drive a device for inducing awakening of a person in a manner depending on the degree of susceptibility to sleepiness. Therefore, it is possible to induce arousal by the device before the person becomes drowsy. This makes it possible to increase the arousal level of a person.

Further, a comfort level detecting device for detecting a person's comfort level may be provided, and the control device may control the device based on the comfort level detected by the comfort level detecting device and the degree of sleepiness.

According to this, the control device controls the device based on the comfort level detected by the comfort level detection device and the degree of sleepiness, so that the awakening guidance is performed while reproducing the environment in which the person feels comfortable. Is possible.

The device may also include a lighting device.

According to this, it is possible to induce awakening of a person by controlling the lighting device.

Further, the lighting device may irradiate pulsed light having a duty ratio of 0.00001 or more and 0.1 or less at a frequency of 0.1 Hz or more and 1 Hz or less at the time of arousal induction.

According to this, at the time of awakening induction, pulsed light having a duty ratio of 0.00001 or more and 0.1 or less is irradiated from the lighting device at a frequency of 0.1 Hz or more and 1 Hz or less, so that awakening induction is efficiently performed. It can be carried out.

The device may also include an audio device.

According to this, it is possible to induce awakening of a person by controlling an acoustic device.

Further, the audio device can output sounds having different frequencies on the left and right sides of a person, and at the time of arousal induction, the frequencies of the sounds on the left and right sides may be different in a range of 30 Hz or less.

According to this, at the time of awakening induction, the difference in sound frequency between the left and right of the audio device is 30 Hz or less, so that the awakening can be efficiently induced.

The device may also include a vibrating device that vibrates a person.

According to this, it is possible to induce awakening of a person by controlling the vibration device.

In addition, the vibrating device may generate vibrations in a frequency band that stimulates the human muscle spindle during arousal induction.

According to this, at the time of arousal induction, the vibration of the frequency band that stimulates the human muscle spindle is generated from the vibrating device, so that the arousal can be efficiently induced.

The equipment may also include an air conditioner.

According to this, it is possible to induce awakening of a person by controlling the air conditioner.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be noted that all of the embodiments described below show comprehensive or specific examples of the present disclosure. Therefore, the numerical values, the components, the arrangement positions and connection forms of the components, the steps and the order of the steps, etc., which are shown in the following embodiments, are examples and are not intended to limit the present disclosure. Therefore, among the components in the following embodiments, the components not described in the independent claims indicating the highest level concept of the present disclosure will be described as arbitrary components.

Further, each figure is a schematic view and is not necessarily exactly illustrated. Therefore, the scales and the like do not always match in each figure. In each figure, substantially the same configuration is designated by the same reference numerals, and duplicate description will be omitted or simplified.

(Embodiment 1)
[Easy to get sleepy estimation device]
<Structure>
First, the sleepiness estimation device according to the first embodiment will be described. FIG. 1 is a block diagram showing a functional configuration of the sleepiness estimation device according to the first embodiment.

The sleepiness estimation device 1 is a device that detects at least one of information about a person's heat and the surrounding environment of the person, and estimates the degree of sleepiness of the person for each individual based on the detection result. Is. Here, the "degree of drowsiness" is an index indicating the degree of drowsiness of the person to be detected from the state in which the person is not drowsy to the subsequent drowsiness. In other words, it can be said that a person who is presumed to have a low degree of drowsiness is less likely to suffer from drowsiness at this time. "Difficult to get drowsiness" includes a long time until the person feels drowsiness, a slow progress of drowsiness within a predetermined time, and a light drowsiness. On the other hand, it can be said that a person who is presumed to have a high degree of drowsiness is likely to suffer from drowsiness at this time. "Prone to drowsiness" includes short time to feel drowsiness, rapid progress of drowsiness within a predetermined time, deep drowsiness, and the like.

Hereinafter, the details of the sleepiness estimation device 1 will be described.

As shown in FIG. 1, the sleepiness estimation device 1 includes a sensor 2, an estimation unit 3, and a notification unit 4.

The sensor 2 is a sensor that detects information about human heat. In the present embodiment, the sensor 2 includes a thermal image sensor 21 that acquires a thermal image of the person as information about the heat of the person. Specifically, the thermal image sensor 21 is a thermo camera that measures infrared rays emitted by a person by acquiring a thermal image by imaging with infrared rays.

FIG. 2 is a schematic view showing an example of an installed state of the thermal image sensor 21 according to the embodiment. FIG. 3 is a schematic view showing an example of a thermal image G1 of a person acquired by the thermal image sensor 21 of FIG. As shown in FIG. 2, the thermal image sensor 21 is installed on the desk 150. When one person P1 is present in the imaging range R of the thermal image sensor 21, the thermal image G1 as shown in FIG. 3 is acquired by the thermal image sensor 21.

FIG. 4 is a schematic view showing another example of thermal image capture by the thermal image sensor 21 according to the embodiment. FIG. 5 is a schematic view showing an example of the thermal images G2 and G3 of a person acquired by the thermal image sensor 21 of FIG. As shown in FIG. 4, when two people P2 and P3 are present in the imaging range R of the thermal image sensor 21, as shown in FIG. 5, the thermal images of a plurality of people are contained in one image. G2 and G3 will be included. That is, it is possible to acquire thermal images G2 and G3 for a plurality of people by one imaging.

The estimation unit 3 estimates the degree of sleepiness of a person based on the thermal images G1, G2, and G3 acquired by the sensor 2. Specifically, the estimation unit 3 is electrically connected to the sensor 2 and acquires thermal images G1, G2, and G3 from the sensor 2. The estimation unit 3 calculates the amount of heat released from a person from the thermal images G1, G2, and G3, and estimates the degree of sleepiness for each individual based on the amount of heat released. When there is one person's thermal image G1 in one image, the estimation unit 3 calculates the heat radiation amount of one person from the thermal image G1. Further, when the estimation unit 3 has thermal images G2 and G3 of a plurality of people in one image, the estimation unit 3 calculates the heat radiation amount of the plurality of people from the thermal images G2 and G3. A well-known calculation method can be used for calculating the amount of heat radiation.

FIG. 6 is a graph showing the relationship between the degree of sleepiness and the amount of heat released. This graph summarizes the results of evaluating the degree of sleepiness while obtaining the heat dissipation amount of the subject under each thermal condition by changing the amount of clothing of the subject and the environmental temperature (thermal condition). Specifically, the subject is evaluated for the degree of sleepiness under five thermal conditions. Thermal condition 1 is thick clothing and the ambient temperature is 22 ° C. Thermal condition 2 is light clothing and the ambient temperature is 22 ° C. Thermal condition 3 is medium clothing (the amount of clothing between thick and light clothing), and the environmental temperature is 22 ° C. The thermal condition 4 is a middle garment, and the environmental temperature is 28 ° C. The thermal condition 5 is a middle coat, and the environmental temperature is 16 ° C. For example, the amount of clothes for thick clothes is 1.5 clo, the amount of clothes for medium clothes is 1.0 clo, and the amount of clothes for light clothes is 0.5 clo.

Then, the facial expression of the subject is photographed under each thermal condition, and the drowsiness level after a predetermined time under each of the above thermal conditions is obtained from the characteristics of the facial expression after the elapse of a predetermined time under each of the above thermal conditions. It was evaluated as the degree of susceptibility. Further, under each thermal condition, the thermal image G1 of the subject was acquired by the thermal image sensor 21, and the amount of heat radiation was calculated based on the thermal image G1. The evaluation results and the amount of heat radiation under each thermal condition were summarized in the graph of FIG. 6, and these approximate curves L were obtained. Based on this approximate curve L, it is possible to estimate the degree of sleepiness from the amount of heat radiation.

It is also possible to evaluate the degree of drowsiness based on, for example, other physical characteristics showing signs of drowsiness in the future. It is also possible to evaluate the degree of sleepiness by the subject's declaration.

FIG. 7 is a graph showing the relationship between the degree of sleepiness and the environmental temperature (air temperature). This graph summarizes the results of evaluating the environmental temperature under each thermal condition and the degree of sleepiness of the subject by changing the amount of clothes worn by the subject and the environmental temperature. Each condition and the evaluation method of the degree of sleepiness are the same as in FIG. As shown in FIG. 7, under the thermal conditions 1 to 3, the degree of susceptibility to sleepiness is different even if the environmental temperature is the same. This indicates that even if the ambient temperature is constant, the degree of sleepiness varies depending on the amount of clothing. Therefore, it can be seen that it is not possible to determine the susceptibility to sleepiness on a one-to-one basis based on the ambient temperature.

On the other hand, in the case of FIG. 6 described above, the amount of clothing does not affect the relationship between the amount of heat radiation and the degree of sleepiness, and the degree of sleepiness is calculated from the amount of heat radiation based on the approximate curve L. Can be estimated. Therefore, even if the amount of clothing is different for each individual, it is possible to estimate the degree of sleepiness of the person by obtaining the amount of heat radiation for each individual.

The estimation unit 3 is realized by, for example, a CPU (Central Processing Unit) and a control program stored in a storage unit capable of communicating with the CPU. Examples of the storage unit include a ROM (Read Only Memory), a RAM (Random Access Memory), an HDD (Hard Disk Drive), an SSD (Solid State Drive), and the like.

The notification unit 4 notifies the degree of sleepiness estimated by the estimation unit 3. Specifically, the notification unit 4 is electrically connected to the estimation unit 3 and acquires the degree of sleepiness from the estimation unit 3. The notification unit 4 is, for example, a display device such as a display, and displays the degree of sleepiness with characters, pictures, symbols, etc., and notifies the surroundings. The notification unit 4 may be an audio device such as a speaker that performs auditory notification, or may be other than that, and the means thereof is not limited to a display, an audio device, or the like.

<Operation>
Subsequently, the operation of the sleepiness estimation device 1 according to the embodiment will be described with reference to FIG.

FIG. 8 is a flowchart showing a procedure in which the sleepiness estimation device 1 according to the first embodiment estimates the degree of sleepiness of a person.

First, the thermal image sensor 21 acquires a thermal image G1 of a person (step S1). The estimation unit 3 calculates the amount of heat released from a person based on the thermal image G1 acquired by the thermal image sensor 21 (step S2). Next, the estimation unit 3 estimates the degree of sleepiness of a person from the amount of heat radiation based on the approximate curve L (step S3). When the thermal images G2 and G3 of a plurality of people are acquired in step S1, the estimation unit 3 repeats steps S2 and S3 for the number of people to estimate the degree of sleepiness for each individual.

After that, the notification unit 4 notifies the surroundings of the degree of sleepiness estimated by the estimation unit 3 for each individual (step S4). At the time of this notification, the degree of sleepiness of each individual may be individually notified. In addition, the notification may be made only when the average value of the degree of sleepiness of a plurality of people exceeds a certain standard value, or the standard value is exceeded in the degree of sleepiness of a plurality of people. The notification may be made only when there is a degree of sleepiness.

<Effect>
As described above, according to the present embodiment, the estimation unit 3 estimates the degree of sleepiness of a person for each individual based on the information on the heat of the person detected by the sensor 2. That is, even a person who is not drowsy can estimate the degree of drowsiness at that time for each individual based on the information about the person's fever. Therefore, if such a sleepiness estimation device 1 is adopted in the awakening guidance system, it becomes possible for each individual to induce awakening by various devices before the person becomes drowsy. As a result, the arousal level of a person can be increased for each individual.

Here, the thermal image sensor 21 can easily acquire thermal images G1, G2, and G3 for each individual. Therefore, it is possible to easily estimate the degree of sleepiness of each individual based on the thermal images G1, G2, and G3 of the person acquired by the thermal image sensor 21.

In addition, as described above, it was found that there is a correlation between the degree of sleepiness and the amount of heat released by a person. As a result, the estimation unit 3 estimates the degree of sleepiness of the person based on the amount of heat released from the person, so that the degree of sleepiness can be estimated accurately.

Further, since the notification unit 4 can notify the degree of sleepiness for each individual, the estimated degree of sleepiness can be notified for each individual. The degree of drowsiness that a person is not aware of can be grasped by this notification, and can be reflected in future measures against drowsiness.

(Embodiment 2)
In the first embodiment, the case where the degree of susceptibility to sleepiness is estimated for each individual from the amount of heat released by a person is illustrated. In the second embodiment, a case where the degree of susceptibility to sleepiness is estimated for each individual from the feeling of warmth / coldness (feeling of hot / cold) of a person will be described. In the following description, in the same parts as those in the first embodiment, the same reference numerals may be given and the description thereof may be omitted.

FIG. 9 is a flowchart showing a procedure for estimating the degree of sleepiness of a person according to the second embodiment.

First, the thermal image sensor 21 acquires a human thermal image G1 (step S11). The estimation unit 3 estimates the feeling of warmth and coldness of a person based on the thermal image G1 acquired by the thermal image sensor 21. Specifically, the estimation unit 3 estimates the feeling of warmth and coldness by detecting the skin temperature of the portion exposed from the clothes based on the thermal image G1 acquired by the thermal image sensor 21 (step S12). It is known that, depending on the part of the human body, the skin temperature of the part has a high correlation with the feeling of warmth and coldness. An example of a site having a high correlation with the feeling of warmth and coldness is the nose. The value obtained by subtracting the skin temperature of the nose from the skin temperature of the forehead also shows a high correlation with the feeling of warmth and coldness. The estimation unit 3 obtains the skin temperature of the portion required for estimating the warm / cold sensation from the thermal image G1 and estimates the warm / cold sensation from the result. It should be noted that other well-known methods can be used for estimating the feeling of warmth and coldness, and the method is not limited to the above-mentioned method.

Next, the estimation unit 3 estimates the degree of sleepiness based on the feeling of warmth and coldness (step S13). Here, an example is illustrated in which the feeling of warmth and coldness is converted into the amount of heat radiation, and the degree of susceptibility to sleepiness is estimated from the amount of heat radiation. It is known that there is a predetermined relationship between the feeling of warmth and coldness and the amount of heat released. For example, the predetermined relationship is detailed in Non-Patent Document 1 (Non-Patent Document 1: Hidekei Ishigaki, 2 outsiders, "Effect of temperature and humidity on heat balance and psychological reaction of human body (3)", [online ], 1999, Nissei Ki Magazine (S46), [Search on May 31, 2017], Internet <URL: https://www.jstage.jst.go.jp/article/seikisho1966/36/3/36_3_S46 / _pdf>) There is a description. The estimation unit 3 converts the feeling of warmth and coldness into the amount of heat radiation based on a predetermined relationship. After that, the estimation unit 3 estimates the degree of sleepiness of a person from the amount of heat radiation based on the approximate curve L.

After that, the notification unit 4 notifies the surroundings of the degree of sleepiness estimated by the estimation unit 3 for each individual (step S14).

According to the present embodiment, since the estimation unit 3 estimates the degree of sleepiness of the person based on the feeling of warmth and coldness of the person, it is possible to accurately estimate the degree of sleepiness of the person.

Here, a method of calculating the amount of heat radiation once to estimate the degree of sleepiness from the feeling of warmth and cold is illustrated, but this has a certain correlation between the feeling of warmth and coldness and the degree of sleepiness. It is shown that. That is, it is of course possible to obtain the relationship of the degree of susceptibility to sleepiness directly from the feeling of heat and cold without the intervention of the amount of heat radiation, and the degree of susceptibility to sleepiness may be calculated directly from the feeling of heat and cold. Other indicators may be used, and the means is not limited as long as the degree of susceptibility to sleepiness is calculated based on the feeling of warmth and coldness.

Further, here, the degree of susceptibility to sleepiness is calculated by obtaining the feeling of warmth and coldness of the corresponding person P1 from the thermal image G1, but this is of course the same even when there are a plurality of people, and when there are a plurality of people. It is possible to individually estimate the degree of sleepiness of each person based on the feeling of warmth and coldness of a plurality of people.

(Embodiment 3)
In the second embodiment, the case where the degree of susceptibility to sleepiness is estimated from the estimated feeling of warmth and coldness has been described. In the third embodiment, a case where a feeling of warm / coldness is estimated based on the amount of heat radiation and the degree of susceptibility to sleepiness is estimated from the feeling of warmth / coldness will be described. That is, in the third embodiment, the estimation unit 3 stores in advance the relationship between the feeling of warmth and coldness and the degree of susceptibility to sleepiness. The relationship between the feeling of warmth and coldness and the degree of sleepiness shall be appropriately set based on various experiments, simulations, and empirical rules. For example, it is desirable to adopt this method when the relationship between the feeling of warmth and coldness and the degree of sleepiness is higher than the relationship between the amount of heat radiation and the degree of sleepiness.

FIG. 10 is a flowchart showing a procedure for estimating the degree of sleepiness of a person according to the third embodiment. In the following description, in the same parts as those in the first embodiment, the same reference numerals may be given and the description thereof may be omitted.

First, the thermal image sensor 21 acquires a human thermal image G1 (step S21). The estimation unit 3 calculates the amount of heat released from a person based on the thermal image G1 acquired by the thermal image sensor 21 (step S22). Next, the estimation unit 3 estimates the feeling of warmth and coldness of the person based on the amount of heat dissipated by the person (step S23). Specifically, the estimation unit 3 estimates the feeling of warmth and coldness from the amount of heat radiation based on the predetermined relationship illustrated in the third embodiment.

Then, the estimation unit 3 estimates the degree of sleepiness of a person from the feeling of warmth and coldness based on the relationship between the feeling of warmth and coldness and the degree of sleepiness (step S24). After that, the notification unit 4 notifies the surroundings of the degree of sleepiness estimated by the estimation unit 3 for each individual (step S25).

According to the present embodiment, the estimation unit 3 estimates the degree of sleepiness of the person based on the feeling of warmth and coldness calculated from the amount of heat released from the person, so that the degree of sleepiness of the person is estimated with high accuracy. Is possible.

Further, here, the degree of susceptibility to sleepiness is calculated by obtaining the heat dissipation amount of the corresponding person P1 from the thermal image G1, but this is of course the same even when there are a plurality of people, and when there are a plurality of people. Can individually estimate the degree of sleepiness of each person based on the amount of heat released by a plurality of people.

(Embodiment 4)
In the first embodiment, the case where the degree of susceptibility to sleepiness is estimated from the information on the heat of the person acquired by the sensor 2 has been illustrated and described. In the fourth embodiment, a case where the degree of susceptibility to sleepiness is estimated from the surrounding environment of the person acquired by the sensor 2a will be described. In the following description, in the same parts as those in the first embodiment, the same reference numerals may be given and the description thereof may be omitted.

FIG. 11 is a block diagram showing a functional configuration of the sleepiness estimation device 1A according to the fourth embodiment. Specifically, FIG. 11 is a diagram corresponding to FIG.

As shown in FIG. 11, the sensor 2a of the sleepiness estimation device 1A is a sensor that detects the surrounding environment of a person. In the present embodiment, the sensor 2a includes an illuminance sensor 22 that detects the illuminance around the person as the surrounding environment of the person.

FIG. 12 is a schematic view showing an example of the installation state of the illuminance sensor 22 according to the embodiment. Specifically, FIG. 12 is a diagram corresponding to FIG. As shown in FIG. 12, a plurality of people P4 and P5 exist in another space partitioned by the wall W. Each space does not have to be completely compartmentalized. Each space is illuminated by outside light from a window (not shown) and illumination light from a lighting device (not shown). The illuminance sensor 22 is installed on the desk 150 in each space. As a result, each illuminance sensor 22 detects the illuminance in each space. That is, each illuminance sensor 22 can detect the illuminance around each of the people P4 and P5.

FIG. 13 is a graph showing the relationship between the degree of sleepiness and the illuminance. As shown in FIG. 13, when the illuminance is lower than about 40 lux, the degree of sleepiness is stable in a high state. On the other hand, when the illuminance is higher than about 200 lux, the degree of sleepiness is low and stable. When the illuminance is from about 40 lux to about 200 lux, the degree of susceptibility to sleepiness decreases sharply as the illuminance increases.

The estimation unit 3 estimates the degree of sleepiness from the ambient illuminance earned by the sensor 2a based on the relationship between the degree of sleepiness and the illuminance shown in FIG.

According to the present embodiment, by detecting the illuminance around the person P4 and P5, it is possible to estimate the degree of sleepiness of the person P4 and P5 for each individual.

(Embodiment 5)
In the fourth embodiment, a case where the degree of susceptibility to sleepiness is estimated based on the illuminance, which is one of the surrounding environments of a person, has been illustrated and described. In the fifth embodiment, a case where the degree of sleepiness is estimated based on the concentration of the gas component around the person, which is one of the surrounding environments of the person, will be described. In the following description, in the same parts as those in the first embodiment, the same reference numerals may be given and the description thereof may be omitted.

FIG. 14 is a block diagram showing a functional configuration of the sleepiness estimation device 1B according to the fifth embodiment. Specifically, FIG. 14 is a diagram corresponding to FIG.

As shown in FIG. 14, the sensor 2b of the sleepiness estimation device 1B is a sensor that detects the surrounding environment of a person. In the present embodiment, the sensor 2b includes a gas sensor 23 that detects the concentration of a gas component around the person as the surrounding environment of the person. The gas sensor 23 is, for example, a gas sensor that detects the concentration of at least one of carbon dioxide and oxygen. The gas sensor 23 may be installed so as to be able to individually detect the concentration of the gas component in each of the partitioned spaces. It should be noted that each space does not have to be completely partitioned.

Here, in the surrounding environment of a person, as the concentration of carbon dioxide increases, the degree of susceptibility to sleep tends to increase. Similarly, lower oxygen concentrations tend to increase the degree of sleepiness. Based on this relationship, the estimation unit 3 estimates the degree of sleepiness from the concentration of the surrounding gas component earned by the sensor 2b.

According to the present embodiment, it is possible to estimate the degree of sleepiness of the person for each individual by detecting the concentration of the gas component around the person.

The gas sensor 23 may be a gas sensor capable of detecting the concentration of a plurality of gas components, or may be a sensor capable of detecting the concentration of a specific gas component such as an oxygen sensor or a carbon dioxide sensor. ..

(Embodiment 6)
In the first embodiment, the case where the sleepiness estimation device 1 estimates only the sleepiness degree is illustrated. In the sixth embodiment, a case where the drowsiness estimation device 1C estimates the degree of drowsiness and drowsiness will be described. In the following description, in the same parts as those in the first embodiment, the same reference numerals may be given and the description thereof may be omitted.

FIG. 15 is a block diagram showing a functional configuration of the sleepiness estimation device 1C according to the sixth embodiment. As shown in FIG. 15, the drowsiness estimation device 1C has a configuration in which an imaging unit 30, a drowsiness estimation unit 40, and a drowsiness prediction unit 50 are added to the drowsiness estimation device 1 of the first embodiment. ing.

The imaging unit 30 is a camera for imaging the face of the person P1. Examples of the imaging unit 30 include a camera using a CMOS (Complementary Metal Oxide Sensor) image sensor, a camera using a CCD (Charge Coupled Device) image sensor, and the like.

The drowsiness estimation unit 40 detects the drowsiness level indicating the degree of drowsiness of the person P1. For example, the drowsiness estimation unit 40 has an interface for acquiring a moving image including the person P1 imaged by the imaging unit 30 connected to the drowsiness estimation unit 40, and detects the drowsiness level of the person P1 from the moving image. .. The drowsiness estimation unit 40 outputs the drowsiness level of the person P1 to the drowsiness prediction unit 50. The method for detecting the drowsiness level of the person P1 is not particularly limited, and for example, the drowsiness level can be detected from the moving image information of the face of the person P1. Specifically, the drowsiness level is estimated from the blinking movement included in the moving image information of the face of the person P1. It can be estimated that the drowsiness level is low when the blink cycle of the person P1 is stable, and the drowsiness level is high when the blink cycle of the person P1 is slow and the blink cycle is short and frequently performed.

The drowsiness prediction unit 50 predicts the future drowsiness level of the person P1 based on the degree of drowsiness estimated by the estimation unit 3 and the drowsiness level estimated by the drowsiness estimation unit 40. For example, when the degree of drowsiness of the person P1 is high, the drowsiness prediction unit 50 predicts the person P1 having a relatively high current drowsiness level as the future drowsiness level. On the other hand, when the degree of drowsiness of the person P1 is low, the drowsiness prediction unit 50 lowers the current drowsiness level of the person P1 or slightly raises the current drowsiness level in the future. Predict as drowsiness level. The drowsiness prediction unit 50 outputs the predicted drowsiness level to the notification unit 4. As a result, the notification unit 4 notifies the predicted future drowsiness level of the person P1.

Here, an example of another method for predicting drowsiness will be described. Based on the thermal image G1 acquired by the thermal image sensor 21, the estimation unit 3 calculates the amount of heat released from the photographed person. The estimation unit 3 stores in advance the amount of drowsiness level fluctuation after a predetermined time according to the amount of heat radiation. For example, FIG. 16 shows the amount of drowsiness level fluctuation after a predetermined time when the amount of heat released by a person is 33 W / m ^2. In addition to the relationship illustrated in FIG. 16, the estimation unit 3 stores in advance the amount of drowsiness level fluctuation after a predetermined time according to each heat dissipation amount.

Then, assuming that the heat dissipation amount of the person calculated by the estimation unit 3 is 33 W / m ² , the estimation unit 3 predicts the fluctuation amount of the drowsiness level after a predetermined time based on the graph shown in FIG. That is, the estimation unit 3 estimates that the drowsiness level increases by about 1.5 after about 5 minutes and the drowsiness level increases by about 2.3 after about 10 minutes. Here, the drowsiness level is expressed in five stages, and the larger the value, the stronger the drowsiness. By doing so, it is possible to predict how the subsequent drowsiness level will fluctuate depending on the amount of heat released.

Here, the case where the heat radiation amount is 33 W / m ² has been described, but if the drowsiness level fluctuation amount after a predetermined time in another heat radiation amount is also stored in the estimation unit 3, the heat radiation amount will be adjusted after a predetermined time. The amount of drowsiness level fluctuation can be estimated. For example, colder environment, that is, if the heat radiation amount of human increases (e.g. heat radiation amount is 50 W / m ^2), as shown in FIG. 17, the heat radiation amount is a predetermined time after the case of 33 W / m ² The amount of fluctuation in drowsiness level is small. As a result, it is estimated that the amount of fluctuation in the drowsiness level is relatively small over time. For example, when driving a car, it is possible to display on the route to the destination set by the car navigation system, etc., at what point and how much sleepiness is reached based on the estimated arrival time on each route. It is possible. The driver can refer to this display and consider where to take a break. Of course, based on this information, the car navigation system may notify the driver to take a break or the like.

Further, although it has been described here that the amount of fluctuation in drowsiness after a predetermined time is estimated based on the amount of heat radiation, it does not have to be the amount of heat radiation, and for example, the ambient air temperature may be used. A person is more likely to feel drowsy when the ambient temperature is about 25 ° C. than in a low temperature environment where the ambient temperature is, for example, 15 ° C. or lower. Therefore, by measuring the amount of fluctuation of drowsiness after a predetermined time at each temperature in advance, it is possible to estimate the drowsiness after a predetermined time according to the outside air temperature. Of course, if there are factors that affect human drowsiness other than the ambient temperature, the amount of fluctuation in drowsiness after a predetermined time under each condition can be measured in advance based on that, and the amount can be determined according to each condition. It is possible to estimate drowsiness after hours.

When the amount of heat radiation is used as a factor that affects human drowsiness, it is known that the amount of heat radiation has a correlation between the feeling of warmth and coldness of a person and the amount of clothing, even if the person wears thick clothes. It has the advantage that drowsiness after a predetermined time can be estimated regardless of even light clothing.

Further, although it has been described here that drowsiness is predicted based on the amount of heat released from the thermal image, other than this, the amount of fluctuation in the drowsiness level after a predetermined time is estimated by the estimation unit 3 using an illuminance sensor or a gas sensor. The amount of fluctuation in the drowsiness level after a predetermined time may be estimated based on the illuminance and the gas concentration. For example, in the case of illuminance, it is difficult for a person to become sleepy when the surroundings are bright, and it is relatively easy for a person to become sleepy when the surroundings are dark. Especially when driving a car, it has an advantage that the transition of a person's drowsiness can be accurately predicted based on the illuminance at that time.

On the other hand, for example, when the gas is carbon dioxide, a person tends to get sleepy when the concentration of carbon dioxide is high, and a person does not get sleepy when the concentration is low. This has the advantage that when the carbon dioxide gas rises due to the circulation of the inside air while driving a car, the drowsiness of a person can be accurately predicted from the transition of the carbon dioxide gas concentration.

The drowsiness prediction unit 50 can also predict drowsiness using the amount of drowsiness level fluctuation after a predetermined time according to the amount of heat radiation.

The drowsiness estimation unit 40 and the drowsiness prediction unit 50 are realized by, for example, a CPU and a control program stored in a storage unit capable of communicating with the CPU, similarly to the estimation unit 3.

As described above, according to the present embodiment, the drowsiness estimation device 1C predicts the future drowsiness level based on the current drowsiness level of the person P1 and the degree of drowsiness. , This future drowsiness level can be reflected in future drowsiness measures.

In this embodiment, a case where the current drowsiness level is estimated from a moving image including a person P1 is illustrated. However, any method can be used to estimate the drowsiness level. For example, it is possible to estimate the drowsiness level using the heartbeat, skin conductance, skin temperature, brain wave, etc. of human P1.

In the method using the heartbeat, for example, the sympathetic nerve / parasympathetic nerve (LF / HF) may be obtained from the R wave and the R wave interval (RR interval) of the heartbeat to estimate the drowsiness level. LF / HF tends to be lower when a person becomes sleepy.

In the method using skin conductance, for example, the amount of mental sweating may be obtained from the skin conductance to estimate the drowsiness level. Mental sweating tends to decrease as a person becomes sleepy.

In the method using the skin temperature, the drowsiness level may be estimated from the skin temperature of the peripheral part such as the fingertip. Peripheral skin temperature tends to rise when a person becomes sleepy.

In the method using brain waves, for example, the drowsiness level may be estimated from the α wave amplitude and the α wave ratio. The α-wave amplitude and α-wave ratio tend to increase when a person becomes sleepy.

(Embodiment 7)
[Awakening Guidance System]
In the seventh embodiment, a case where the sleepiness estimation device is adopted in the awakening guidance system will be described. In addition, although the case where the sleepiness estimation device 1 according to the first embodiment is adopted in the awakening guidance system will be described here, the sleepiness estimation device of another embodiment is adopted in the awakening guidance system. You may. The awakening guidance system is installed, for example, in a vehicle such as an automobile or in a room such as an office.

FIG. 18 is a block diagram showing a functional configuration of the awakening guidance system 100 according to the seventh embodiment. As shown in FIG. 18, the awakening guidance system 100 includes a sleepiness estimation device 1 and a device 200 for changing the surrounding environment of the person P1.

The control device 110 controls the device 200 based on the degree of sleepiness estimated by the sleepiness estimation device 1 to induce the awakening of the persons P1, P2, and P3. Specifically, the control device 110 is communicably connected to the sleepiness estimation device 1 and the device 200. The control device 110 includes a CPU, a RAM, and a ROM, and the CPU expands the control program stored in the ROM into the RAM and executes the control program to control the device 200 based on the degree of sleepiness. do. For example, the control device 110 controls the device 200 in the normal mode when the degree of sleepiness is equal to or less than a predetermined value, and awakens to induce arousal when the degree of sleepiness exceeds a predetermined value. The device 200 is controlled in the induction mode. Here, the predetermined value is a threshold value for operating the device 200 in the awakening induction mode, and may be arbitrarily changed by the user.

The device 200 includes, for example, a lighting device 210, an acoustic device 220, a vibration device 230, and an air conditioner 240.

The lighting device 210 can be dimmed based on the control of the control device 110. In the awakening guidance mode, the lighting device 210 is illuminated with a higher awakening induction effect than in the normal mode. Specifically, in the awakening guidance mode, the lighting device 210 can induce the awakening of the person P1 by emitting brighter light than in the normal mode. In the awakening induction mode, the blue light contained in the light is increased more than in the normal mode to induce the awakening of the human P1, and the awakening of the human P1 is performed by the pulsed light having a duty ratio lower than that in the normal mode. It is also possible to adopt the second method of guidance.

Specifically, in the first method, the lighting device 210 may irradiate the person P1 with light having a peak wavelength in the range of 400 nm or more and 500 nm or less. Thereby, the awakening of the human P1 can be efficiently induced.

Further, in the second method, the awakening of the person P1 is induced by the pulsed light having a duty ratio lower than that in the normal mode. Therefore, for example, when the awakening guidance system 100 is installed in the vehicle, the person is driving even at night. Awakening can be induced while suppressing the shining and conspicuous face of P1. In particular, in the second method, the lighting device 210 may emit pulsed light having a duty ratio of 0.00001 or more and 0.1 or less at a frequency of 0.1 Hz or more and 1 Hz or less (first condition). By irradiating the person P1 with such light, arousal can be induced more efficiently. Also in this second method, the lighting device 210 may irradiate the person P1 with light having a peak wavelength in the range of 400 nm or more and 500 nm or less.

The sound output from the audio device 220 can be adjusted based on the control of the control device 110. In the awakening induction mode, the sound device 220 outputs a sound having a higher awakening induction effect than in the normal mode. The sound having a high awakening-inducing effect includes making the volume higher than that in the normal mode and playing a song having a high awakening-inducing effect.

Further, in the case of the sound device 220 capable of outputting sounds of different frequencies on the left and right sides of the person P1, the sound device 220 makes a difference in the range where the frequencies of the sounds on the left and right sides are 30 Hz or less in the awakening induction mode. (Second condition). If there is a difference in the frequencies of the left and right sounds in this way, the awakening of the human P1 can be efficiently induced.

The vibration device 230 applies vibration to the person P1 based on the control of the control device 110. Examples of the vibrating device 230 include a vibrating actuator and a vibrating damper. The vibrating device 230 is non-vibrating in the normal mode and vibrates in the awakening induction mode. Specifically, it is preferable that the vibration device 230 generates vibration in the frequency band that stimulates the muscle spindle of the human P1 in the arousal induction mode (third condition). When the muscle spindle is stimulated by vibration, the brainstem reticular activating system in the brain is activated. Since the brainstem reticular activating system is involved in human arousal, activation of the brainstem reticular activating system induces arousal of human P1.

Further, examples of the installation location of the vibration device 230 in the vehicle include a seat and steering. Further, examples of the installation location of the vibration device 230 in the room include a chair, a writing tool, an operation device (mouse, keyboard, etc.) and the like.

The air conditioner 240 performs air conditioning based on the control of the control device 110. In the awakening induction mode, the air conditioner 240 is air-conditioned with a higher awakening induction effect than the normal mode. Specifically, in the awakening induction mode, the air conditioner 240 can induce the awakening of the person P1 by setting the temperature to be lower than that in the normal mode. Further, the air conditioner 240 may induce the awakening of the person P1 by lowering the sensible temperature by blowing the wind on the person P1 in the awakening induction mode. Further, the air conditioner 240 may not only lower the temperature but also raise or lower the temperature at predetermined time intervals to induce the awakening of the person P1. In this case, the time interval may be 5 minutes or more and 60 minutes or less, and the temperature rise / fall range may be 2 ° C. or more and 15 ° C. or less.

As described above, according to the present embodiment, the control device 110 controls the lighting device 210 to induce the awakening of the person P1.

Further, at the time of awakening induction, pulsed light having a duty ratio of 0.00001 or more and 0.1 or less is emitted from the lighting device 210 at a frequency of 0.1 Hz or more and 1 Hz or less, so that awakening induction should be performed efficiently. Can be done.

Further, the control device 110 controls the sound device 220 to induce awakening of a person.

Further, at the time of awakening induction, since the difference in sound frequency between the left and right of the sound device 220 is 30 Hz or less, the awakening can be efficiently induced.

Further, the control device 110 controls the vibration device 230 to induce awakening of a person.

Further, at the time of arousal induction, since the vibration device 230 generates vibration in the frequency band that stimulates the muscle spindle of the human P1, the arousal can be efficiently induced.

Further, the control device 110 controls the air conditioner 240 to induce awakening of a person.

In the present embodiment, the device 200 (lighting device 210, sound device 220, vibration device 230, air conditioner 240) is in the awakening guidance mode according to the degree of sleepiness estimated by the sleepiness estimation device 1. The case of operating in is illustrated. However, the device 200 may operate in the awakening induction mode without being linked to the sleepiness estimation device 1. For example, there is a case where the device 200 is operated individually by a person to operate in the awakening induction mode. Forced regardless of the circumstances in which the person around the device 200 is drowsy (drowsiness, drowsiness, high drowsiness, low drowsiness, etc.) It is possible to induce arousal. In particular, the above-mentioned first condition, second condition and third condition are preferable because arousal induction can be efficiently performed. As described above, in the awakening guidance system that induces awakening without considering the degree of sleepiness, the sleepiness estimation device 1 may not be necessary.

Further, when the drowsiness estimation device 1C according to the sixth embodiment is adopted in the awakening guidance system, the operation of the device 200 may be controlled based on the predicted future drowsiness level.

(Embodiment 8)
In the seventh embodiment, the case where the control device 110 controls the device 200 based on the degree of sleepiness is illustrated. In the seventh embodiment, a case where the control device 110 controls the device 200 based on the degree of sleepiness and the comfort level of the person P1 will be described. In the following description, in the same parts as those in the eighth embodiment, the same reference numerals may be given and the description thereof may be omitted.

In the eighth embodiment, the estimation unit 3 also estimates the comfort level of the person P1 from the thermal image G1 acquired by the thermal image sensor 21.

FIG. 19 is a graph showing the relationship between the comfort level of the person P1 and the amount of heat released. This graph summarizes the results of evaluating the comfort level while obtaining the heat dissipation amount of the subject under each thermal condition by changing the amount of clothing of the subject and the environmental temperature. Specifically, the subject is evaluated for the degree of sleepiness under five thermal conditions. Thermal conditions 1 to 5 are the same as in the case of the first embodiment. The subjects evaluated the comfort level on a 5-point scale under each thermal condition. When the comfort level is 0, it cannot be determined whether the person is comfortable or uncomfortable. When the comfort level is positive, it indicates that the comfort level increases as the stage increases. Negative comfort indicates that the lower the stage, the more uncomfortable. The average value of the evaluation results for a plurality of persons was obtained, the average value and the amount of heat radiation were summarized in the graph of FIG. 19, and the approximate curve L1 of these was obtained. Based on this approximate curve L1, the estimation unit 3 can estimate the comfort level from the amount of heat radiation.

When the control device 110 controls the device 200 in the awakening guidance mode, the control device 110 also controls the operation of the device 200 by using the comfort level estimated by the estimation unit 3. Specifically, the control device 110 monitors the comfort level estimated by the estimation unit 3, and controls the air conditioner 240 so that the comfort level becomes larger than a predetermined value.

As described above, according to the present embodiment, the control device 110 controls the device 200 based on the comfort level detected by the sleepiness estimation device 1 and the sleepiness level, so that the person is comfortable. It is possible to induce awakening while reproducing the environment in which you feel.

(Embodiment 9)
In the eighth embodiment, when the estimation unit 3 estimates the degree of sleepiness and the comfort level based on the amount of heat radiation, that is, the comfort level in which the sleepiness estimation device 1 detects the comfort level of the person P1. The case where it also functions as a degree detection device is illustrated. In the ninth embodiment, a case where the awakening guidance system has a dedicated comfort level estimation unit for detecting the comfort level of the person P1 will be described. In the following description, the same reference numerals may be given to the parts equivalent to those of the sixth and seventh embodiments, and the description thereof may be omitted.

FIG. 20 is a block diagram showing a functional configuration of the awakening guidance system 100D according to the ninth embodiment. As shown in FIG. 20, the awakening guidance system 100D includes a sleepiness estimation device 1C, a device 200 for changing the surrounding environment of the person P1, and a comfort level estimation unit 300 for estimating the comfort level of the person P1. I have. In the awakening guidance system 100D, the comfort level estimation unit 300 calculates the amount of heat radiated from the person P1 based on the thermal image G1 including the person P1 measured by the thermal image sensor 21, and the comfort of the person P1 is calculated based on the graph of FIG. Calculate the degree. Further, from the future drowsiness level predicted by the drowsiness estimation device 1C in FIG. 20 and the comfort level obtained by the comfort level estimation unit 300, the future drowsiness level and the current drowsiness while maintaining the comfort level. The level can be lowered as much as possible. For example, the air conditioner 240 may be controlled so that the comfort level is greater than zero. In this case, by controlling the heat dissipation amount to be as large as possible within the range where the heat dissipation amount does not become larger than 46 W / m ^{2, it is possible to realize an environment in which it is difficult to get sleepy while maintaining the comfort level.} Of course, the predetermined value of the comfort level does not have to be 0, and may be set by the user. For example, if the comfort level is set to be greater than -1, the alertness level can be increased even if the comfort level is slightly lowered, and if the comfort level is set to be greater than 0, the comfort level can be increased. It is possible to increase the arousal level as much as possible while maintaining.

Further, here, the device 200 is controlled by the control device 110 based on the future drowsiness and comfort level, but the current drowsiness estimated by the drowsiness estimation unit 40 and the comfort level estimated by the comfort level estimation unit 300 are calculated. The device 200 may be controlled based on this. By doing so, it is possible to control the current drowsiness as low as possible while maintaining the comfort level.

(Other embodiments)
The sleepiness estimation device and the awakening guidance system according to the present disclosure have been described above based on the above-described embodiment, but the present disclosure is not limited to the above-described embodiment. For example, it is realized by arbitrarily combining the components and functions in each embodiment within the range obtained by applying various modifications to each embodiment and the purpose of the present disclosure. Forms are also included in this disclosure.

For example, in the above embodiments 1 to 5, the case where the thermal image sensor 21, the illuminance sensor 22, and the gas sensor 23 are individually provided in the sensors 2, 2a, and 2b is illustrated, but the thermal image sensor, the illuminance sensor, and the gas sensor are illustrated. At least two of them may be provided in the sensor. This makes it possible to estimate the degree of sleepiness in a complex manner using the detection results of each sensor.

Further, in the above-described embodiments 6 and 7, the awakening guidance system 100 includes a plurality of devices (lighting device 210, sound device 220, vibration device 230, air conditioner 240) for changing the surrounding environment of a person. Although the case has been illustrated, the arousal guidance system need only be equipped with at least one device for changing the surrounding environment of a person. Further, the device for changing the surrounding environment of a person is other than the illustrated lighting device 210, sound device 220, vibration device 230 and air conditioner 240 as long as the device for inducing awakening of the person can be induced by changing the surrounding environment. It is also possible to use equipment.

Further, for example, the present disclosure can be realized not only as a sleepiness estimation device or an awakening guidance system, but also a program including a process performed by each component of the sleepiness estimation device or the awakening guidance system as a step, and a program thereof. It can also be realized as a computer-readable recording medium on which a program is recorded. The program may be pre-recorded on a recording medium, or may be supplied to the recording medium via a wide area communication network including the Internet or the like.

That is, the above-mentioned comprehensive or specific embodiment may be realized by a system, a device, an integrated circuit, a computer program or a computer-readable recording medium, and any of the system, the device, the integrated circuit, the computer program and the recording medium. It may be realized by various combinations.

The present disclosure is used for a system or the like that operates a device or the like that induces awakening of a person according to the current situation of the person.

1,1A, 1B, 1C Estimator 2, 2a, 2b Sensor 3 Estimator 4 Notification unit 21 Thermal image sensor 22 Illumination sensor 23 Gas sensor 30 Imaging unit 40 Drowsiness estimation unit 50 Drowsiness prediction unit 100 Awakening guidance system 110 Control device 150 desk 200 Equipment 210 Lighting device 220 Sound device 230 Vibration device 240 Air conditioning device 300 Comfort estimation unit G1, G2, G3 Thermal image L, L1 Approximate curve P1, P2, P3, P4, P5 People R Imaging range

Claims (13)

A sensor that detects at least one of information about a person's heat and the person's surrounding environment,
Based on the detection result of the sensor, an estimation unit that estimates the degree of sleepiness of the person for each individual, and an estimation unit .
A comfort detection device that detects the comfort of the person, and
A control device for inducing arousal of the person by controlling a device for changing the surrounding environment of the person based on the degree of sleepiness estimated by the estimation unit is provided.
The control device controls the device based on the comfort level detected by the comfort level detection device and the degree of sleepiness.
Awakening guidance system. The awakening guidance system according to claim 1, wherein the sensor includes a thermal image sensor that acquires a thermal image of the person as information about the person's heat. The estimation unit calculates the heat dissipation amount or the feeling of warmth and coldness of the person from the thermal image acquired by the thermal image sensor, and based on the heat dissipation amount or the feeling of warmth and coldness, determines the degree of sleepiness for each individual. The awakening guidance system according to claim 2. The awakening guidance system according to any one of claims 1 to 3, wherein the sensor includes an illuminance sensor that detects the illuminance around the person as the surrounding environment of the person. The awakening guidance system according to any one of claims 1 to 4, wherein the sensor includes a gas sensor that detects the concentration of a gas component around the person as the surrounding environment of the person. The awakening guidance system according to any one of claims 1 to 5, further comprising a notification unit for notifying the degree of sleepiness. The awakening guidance system according to any one of claims 1 to 6, wherein the device includes a lighting device. The awakening guidance system according to claim 7 , wherein the lighting device irradiates pulsed light having a duty ratio of 0.00001 or more and 0.1 or less at a frequency of 0.1 Hz or more and 1 Hz or less at the time of awakening induction. The awakening guidance system according to any one of claims 1 to 8 , wherein the device includes an audio device. The awakening guidance system according to claim 9 , wherein the sound device can output sounds having different frequencies on the left and right sides of the person, and at the time of awakening induction, the frequencies of the sounds on the left and right sides are different in a range of 30 Hz or less. The awakening guidance system according to any one of claims 1 to 10 , wherein the device includes a vibrating device that vibrates the person. The arousal guidance system according to claim 11 , wherein the vibration device generates vibration in a frequency band that stimulates the muscle spindle of the person at the time of arousal induction. The awakening guidance system according to any one of claims 1 to 12 , wherein the device includes an air conditioner.

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