JP2019141358A - Pillow device, pillow adjustment system, and pillow adjustment method - Google Patents

Abstract

To provide a pillow device that is less likely to awaken a user.SOLUTION: A pillow device 1a comprises a sensor group 300a, an environment/good sleep calculation unit 110, a temperature calculation unit 120, and a temperature adjustment unit 12. The sensor group 300a includes a plurality of sensors for detecting surroundings and a state of a user. The environment/good sleep calculation unit 110 determines a surrounding environment 410 and a sleep level 420 of a sleeping user based on signals from each of the sensors of the sensor group 300a. The temperature calculation unit 120 calculates a non-awakening temperature 440 for suppressing the user's arousal based on the surrounding environment 410, the sleep level 420, and arousal tendency data 430. The temperature adjustment unit 12 adjusts the temperature to the non-awakening temperature 440 calculated by the temperature adjustment unit 12.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a pillow apparatus, a sleep system, and a pillow adjustment method.

Conventionally, there is a pillow apparatus that cools the pillow itself so that a pillow user (hereinafter referred to as a “user”) can sleep.
Various types of such conventional pillow apparatuses are provided. For example, referring to Patent Document 1, there is described a sleep pillow with a temperature control device that can ensure a good night's sleep by smoothly sleeping. Since the temperature control device detects the skin surface temperature of the head and controls the surface temperature of the pillow, it is described that deep sleep can be ensured smoothly. In order to achieve such an effect, the temperature of the pillow is controlled using only one or one type of sensor that detects the skin surface temperature of the head.

JP-A-6-217854

  However, in the technique of Patent Document 1, since there is only one sensor or only one type of sensor that detects the skin surface temperature, it is insufficient for appropriately grasping the user's state and performing temperature control.

  This invention is made | formed in view of such a condition, Comprising: The above-mentioned problem is solved, It can be made to sleep more by detecting the surrounding environment and a user's sleepiness degree, and controlling temperature. It is an object to provide a pillow apparatus that can be used.

The pillow apparatus (1) of the present invention detects an ambient environment (410) based on signals from a sensor group (300) that detects the surroundings and the state of the user, and calculates an environmental sleepiness calculating unit that calculates the user's sleepiness level (420). (110), the ambient environment (410) and the sleepiness level (420), and a wakefulness tendency indicating a relationship between a non-wakefulness temperature (440) that is a temperature for adjusting the user's wakefulness. Based on the awakening tendency data (430), which is data, the non-wake temperature (440) in the ambient environment (410) detected by the environmental sleep calculation unit (110) and the calculated sleepiness level (420) are calculated. A temperature calculation unit (120); and a temperature adjustment unit (12) that adjusts the temperature to the non-wake temperature (440) calculated by the temperature calculation unit (120), the sensor group (300) Including any combination of the group consisting of: temperature sensor (310), humidity sensor (320), acceleration sensor (330), illuminance sensor, sound sensor, pulse wave sensor, myoelectric sensor, breath sensor, brain wave sensor, and camera. It is characterized by that.
The pillow adjustment system (X) of the present invention includes a pillow device (1), an information processing device (2) connected to the pillow device (1), and a sensor group (300) that detects the surroundings and the state of the user. In the pillow adjustment system provided, the pillow apparatus (1) adjusts the information processing apparatus (2) to suppress the user's awakening in response to the signal of the sensor group (300). A temperature receiving unit (170) that receives a non-wake temperature (440) that is a temperature for temperature adjustment, and a temperature adjustment unit (12) that adjusts the non-wake temperature (440) received by the temperature receiving unit (170) The information processing apparatus (2) includes a signal receiving unit (150) that receives a signal of the sensor group (300), and a signal of the sensor group (300) received by the signal receiving unit (150) By detecting the surrounding environment (410), An environmental sleep calculation unit (110) for calculating the sleep level of the user (420), and an arousal tendency indicating the relationship between the ambient environment (410) and the sleep level (420) and the non-wake temperature (440). Based on the awakening tendency data (430), which is data, the non-wake temperature (440) in the ambient environment (410) detected by the environmental sleep calculation unit (110) and the calculated sleepiness level (420) are calculated. A temperature calculation unit (120); and a temperature transmission unit (160) that transmits the non-wake temperature (440) calculated by the temperature calculation unit (120) to the pillow apparatus (1). 300), a temperature sensor (310), a humidity sensor (320), an acceleration sensor (330), an illuminance sensor, a sound sensor, a pulse wave sensor, a myoelectric sensor, an expiration sensor, an electroencephalogram sensor, and a camera Characterized in that it comprises any combination of Ranaru group.
The pillow adjustment method of the present invention is a pillow adjustment method executed by the pillow apparatus (1), and detects the surrounding environment (410) based on the signals of the sensor group (300) that detects the surroundings and the state of the user, A user's sleep level (420) is calculated, and the ambient environment (410) and the sleep level (420) are adjusted to a non-wake temperature (440) that is a temperature for adjusting the user's sleep. The non-wake temperature (440) in the detected ambient environment (410) and the calculated sleepiness level (420) is calculated from the wake-up tendency data (430) which is the data of the wake-up tendency indicating the relationship. The temperature is adjusted to the non-wake temperature (440), and the sensor group (300) includes a temperature sensor (310), a humidity sensor (320), an acceleration sensor (330), an illuminance sensor, a sound sensor, and a pulse wave. Capacitors, myoelectric sensor, characterized in that it comprises exhalation sensor, brain wave sensor, and any combination of the group consisting of a camera.

  According to the present invention, by using an arbitrary combination of sensors included in the sensor group, it is possible to control the temperature in consideration of the individual environment of the surrounding environment and sleepiness at the time of user's sleeping than before. Thereby, the pillow apparatus which can grasp | ascertain a user's state appropriately and can be made to sleep more can be provided.

It is a system configuration figure concerning a first embodiment of a pillow adjustment system of the present invention. It is a perspective explanatory view showing the whole structure of the pillow apparatus shown in FIG. It is a block diagram which shows the control structure and functional structure of the pillow apparatus shown in FIG. 1, and the pillow apparatus of a terminal. It is a flowchart of the pillow adjustment process which concerns on 1st embodiment of this invention. It is a flowchart which shows the detail of the temperature calculation process shown in FIG. It is a block diagram which shows the control structure which concerns on 2nd embodiment of the pillow adjustment system of this invention. It is a flowchart of the pillow adjustment process which concerns on 2nd embodiment of this invention. It is a block diagram which shows the control structure of the pillow apparatus which concerns on 3rd embodiment of this invention. It is a block diagram which shows the control structure of the pillow apparatus which concerns on 4th embodiment of this invention.

<First embodiment>
[System configuration of pillow adjustment system Xa]
First, FIG. 1 demonstrates the system configuration | structure which concerns on 1st embodiment of the pillow adjustment system Xa of this invention.
The pillow adjustment system Xa includes a pillow apparatus 1a and a terminal 2a, which are configured to be connected wirelessly or by wire.
Here, in each embodiment, components having different detailed configurations are indicated by adding lowercase letters a, b, c... Moreover, when showing a common component by each embodiment, it shows, without attaching | subjecting these small letter codes. That is, for example, the pillow apparatus 1a is configured for the pillow apparatus 1 and the terminal 2a is configured for the terminal 2 in the present embodiment.

The pillow apparatus 1a is a sleep pillow that excludes sleepiness by controlling the surface temperature according to the state of the user.
The pillow apparatus 1a of the present embodiment detects the temperature around the apparatus, the user's perspiration, the movement of the user's head, and the like while the user is sleeping, and performs optimum temperature adjustment. As a result, the user is helped so that the user can sleep without being awake and deep sleep.
Moreover, the pillow apparatus 1a of this embodiment is connected to the terminal 2a, and a user's sleep log (history) etc. can be browsed with a dedicated application.
The pillow apparatus 1a of this embodiment performs autonomously about temperature control of an own apparatus.

The terminal 2a is an information processing apparatus such as a smartphone (Smart Phone), a mobile phone, a PDA (Personal Data Assistant), a PC (Personal Computer), a home appliance, and an automobile. In the present embodiment, the terminal 2a can install and execute dedicated application software (hereinafter simply referred to as “application”) that receives information from the pillow apparatus 1a.
The terminal 2a can acquire a sleep log (history) by communicating with the pillow apparatus 1a using this dedicated application. Thereby, the terminal 2a can present the advice about the quality of sleep to a user. In addition, the terminal 2a can also advise the user to drive after taking a comfortable nap depending on the quality of sleep in cooperation with the automobile.
In the present embodiment, the terminal 2a does not control the temperature adjustment of the pillow apparatus 1a while the user is sleeping.

Also in the second to fourth embodiments described later, the main system configuration may be the same, and the data and devices used for control and use may be different.
A plurality of pillow devices 1a and terminals 2a may be provided. Moreover, the structure which is provided with the external server linked with a dedicated application may be sufficient.

[Overall configuration of pillow apparatus 1a]
Next, the overall configuration of the pillow apparatus 1a of this embodiment will be described with reference to FIG.
The pillow apparatus 1 a includes a control board 10 a, a secondary battery 11, a temperature adjustment unit 12, a gel sheet 13, and a heat dissipation member 14 in a housing 15.

  The control board 10a is a board including various circuits for overall control of the pillow apparatus 1a.

  The secondary battery 11 is a battery that supplies power to the control board 10a. The secondary battery 11 may be, for example, a lithium ion battery, a sodium sulfur battery, a silicon sulfur battery, a metal-air battery such as lithium, aluminum, magnesium, or zinc, a nickel hydrogen battery, or a nickel cadmium battery. The lithium ion battery may be, for example, a flame retardant solvent lithium ion battery, an all solid lithium ion battery, or the like.

  The temperature adjustment unit 12 is a device including an element or mechanism that can be cooled and heated, and a control circuit that drives and controls the element or mechanism so as to reach a set temperature. The element or mechanism of the temperature adjusting unit 12 may be, for example, a Peltier element, a magnetocaloric effect element, a Stirling refrigerator, a small heat pump using fluid (hereinafter referred to as “Peltier etc.”). Further, the temperature adjusting unit 12 is provided with a pair of surfaces that generate a thermal gradient by this Peltier or the like.

The gel sheet 13 is a sheet of gel or the like that is bonded to one surface that causes the thermal gradient of the temperature adjustment unit 12 and the temperature of which is adjusted. The gel sheet 13 may be a hydrophilic gel having a high specific heat and a relatively high thermal conductivity. As the gel sheet 13, for example, various silicone hydrogels, various resin gels, carbohydrate gels, protein gels, and the like may be used.
Further, the gel sheet 13 may be deformable to a specific degree along the shape of the user's head, and may have appropriate cushioning properties. Thereby, it becomes easy to cool or heat the gel sheet 13 via the temperature adjustment part 12, and to adjust a user's head to suitable temperature.

The heat radiating member 14 is a member that is joined so as to be in close contact with the other surface that causes the thermal gradient of the temperature adjusting unit 12, and dissipates or acquires heat around the device itself. The heat radiating member 14 may be, for example, a metal plate, a heat sink, a heat pump, or the like that dissipates or acquires heat and can transfer heat. That is, the heat radiating member 14 dissipates the heat generated when cooling is performed by the temperature adjusting unit 12 around the device itself. In addition, the heat radiating member 14 may be able to acquire and supply the heat around the device itself when heated by the temperature adjusting unit 12.
Further, a heat insulating member such as a heat insulating resin sheet may be attached between the heat radiating member 14 and the gel sheet 13. Further, the heat radiating member 14 may be separately joined with a blower fan, an ultrasonic blower element, or the like.

  The housing | casing 15 is a member which contacts a user's head and hold | maintains each part. The casing 15 may be formed using, for example, a resin, metal, or the like having shape retention and predetermined elasticity. Moreover, the housing | casing 15 may be fitted with respect to each other part. At this time, the housing 15 may hold each part together with fixing means such as pins and screws. Moreover, the housing | casing 15 may be formed in the cover form which can be attached or detached with a double-sided adhesive tape or a hook-and-loop fastener. In addition, the portion of the housing 15 that comes into contact with the user may be formed of a resin that contains carbon or metal that is relatively easy to pass heat. Further, a pillow cover such as a washable cloth may be separately attached to the outside of the housing 15.

[Control Configuration of Pillow Device 1a]
Next, the control configuration of the pillow apparatus 1a will be described with reference to FIG.
The control board 10a, the secondary battery 11, and the temperature adjustment unit 12 described above are controlled by the electrical signal of the pillow apparatus 1a.
Among these, the control board 10a of the pillow apparatus 1a includes a control unit 100a, a sensor group 300a, a storage unit 400a, and a communication unit 500 as main components. Each part of the control board 10a is connected to the control part 100a, and the operation is controlled by the control part 100a.

The control unit 100a includes an MPU (Micro Processing Unit), a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a TPU (Tensor Processing Unit), a DFP (Data Flow Processor), and a DSP (Digital Signal Processor). And an information processing unit including other ASICs (Application Specific Processors).
The control unit 100a is operated as each functional unit to be described later by reading a control program stored in the auxiliary storage unit of the storage unit 400a, developing the control program in the main storage unit, and executing the program. In addition, the control unit 100a controls the entire apparatus.

The storage unit 400a includes a main storage unit such as a RAM (Random Access Memory), an auxiliary storage unit such as a ROM (Read Only Memory), an SSD (Solid State Disk), an eMMC (embedded Multi Media Card), and various flash memory cards. It may be a non-transitory tangible storage media.
A control program for controlling the operation of the pillow apparatus 1a is stored in the auxiliary storage unit of the storage unit 400a. This control program may be firmware including an OS (Operating System) of the pillow apparatus 1a. The storage unit 400a also stores various data.

The sensor group 300a is a plurality of types of sensors that detect the surroundings and the state of the user. The sensor group 300a is used for detecting the surrounding environment 410 and calculating the state of the user.
The sensor group 300a includes, for example, a temperature sensor 310, a humidity sensor 320, and an acceleration sensor 330. In addition, each sensor of the sensor group 300a may be an illuminance sensor, a sound sensor, a pulse wave sensor, a myoelectric sensor, an expiration sensor, an electroencephalogram sensor, a camera, or the like as described in other embodiments below. . Any combination of these sensors may be used for sensing the surrounding environment 410 and / or calculating the degree of sleep 420 (FIG. 3).
In the present embodiment, an example in which the sensor group 300a includes a temperature sensor 310, a humidity sensor 320, and an acceleration sensor 330 will be described.

  The communication unit 500 is a communication connection unit including a wireless or wired transmission / reception circuit and an antenna. The communication unit 500 may include, for example, wireless communication circuits for various IoT (Internet of Things) such as Bluetooth (registered trademark) and Wi-SUN (Wireless Smart Utility Network). The communication unit 500 may include a wireless communication circuit for WiFi (registered trademark). The communication unit 500 may include a short-range wireless communication circuit such as NFC (Near field communication). The communication unit 500 may include a wired LAN (Local Area Network) or USB (Universal Serial Bus) communication circuit.

  The sensor group 300a of this embodiment includes a temperature sensor 310, a humidity sensor 320, and an acceleration sensor 330.

The temperature sensor 310 is a sensor that detects the temperature around the device itself. Specifically, the temperature sensor 310 may be able to specify the temperature (room temperature) of the air outside the device itself. The temperature sensor 310 may include, for example, a thermocouple, an infrared sensor, and an A / D converter.
In the present embodiment, the temperature sensor 310 may not detect the user's own body temperature.

The humidity sensor 320 is a sensor that detects user perspiration. Here, the “sultry heat” experienced by the user may vary greatly depending on the basal metabolism of the user, the state of the bedclothes, the bedding, etc., rather than the humidity in the room. For this reason, the humidity sensor 320 of this embodiment detects that the humidity in the surrounding environment 410 of a user is high indirectly by detecting a user's perspiration.
Specifically, the humidity sensor 320 may be provided with a mechanism that captures user's sweat with electrodes in the housing 15 part, and the electrical resistance changing between the electrodes may be measured to detect sweating.
In the present embodiment, the humidity sensor 320 may not detect the actual humidity or the like of a room around the device itself.

  The acceleration sensor 330 is a sensor that detects the acceleration of the device itself. The acceleration sensor 330 is used to detect the movement of the user's body, specifically, the movement of the user's head as a body movement based on the acceleration of the device itself. For this reason, the acceleration sensor 330 may be various three-dimensional acceleration sensors, for example.

Moreover, in addition to each part mentioned above, the pillow apparatus 1a may contain another component, and each part may contain the some component.
For example, in addition to the above-described components, the control board 10a is provided with switches, buttons, and the like for starting temperature adjustment and connecting to the terminal 2a so as to protrude from the housing 15. May be. The control board 10a may include a dip switch for performing various settings.
The control board 10a may include a USB for charging the secondary battery 11, data communication USB, various flash memory cards, SIM card circuits, terminals, and the like.
The control board 10a may include an inverter, a DD converter, and the like that perform step-up / step-down and DC / AC conversion. Thus, power may be supplied during charging / discharging or when driving the sensor group 300a and the temperature adjusting unit 12.

  In addition, any one of the units and any combination thereof may be integrally configured. For example, the control unit 100a and the storage unit 400a are also integrally formed, such as an MPU with a built-in memory. May be.

[Functional configuration of pillow apparatus 1a]
Next, the functional configuration of the pillow apparatus 1a will be described.
The control unit 100a includes an environmental sleep calculation unit 110, a temperature calculation unit 120, and a learning unit 130.
The storage unit 400a stores an ambient environment 410, a sleepiness level 420, awakening tendency data 430, and a non-wakefulness temperature 440.

The environmental sleep calculator 110 detects the ambient environment 410 of the sleeping user based on the signals of the sensors included in the sensor group 300a, and calculates the sleep level 420.
In the present embodiment, the environment / sleep calculation unit 110 may detect the surrounding environment 410 using the temperature sensor 310 and the humidity sensor 320. That is, the environmental sleep calculation unit 110 can detect the ambient environment 410 from a state in which the temperature around the device is high, the user is sweating, or the like. Specifically, the environmental sleep calculation unit 110 calculates the ambient temperature of the device from the signal from the temperature sensor 310 and sets the ambient temperature 410 in the ambient environment 410, for example. In addition, the environmental sleep calculator 110 detects, for example, whether or not the user's scalp sweating during sleep has been detected from the signal from the humidity sensor 320, and if the user's sweating is detected, Set to ambient environment 410.
As a value to be set in the surrounding environment 410, the environmental sleep calculation unit 110 may set, for example, an estimated value of a state such as “hot”, “cold”, or “just right” that the user feels in several stages. .

In this embodiment, the environmental sleep calculator 110 may calculate the sleep level 420 by detecting the user's body movement by the acceleration sensor 330. That is, the environmental sleep calculation unit 110 calculates the degree of sleep of the user such as the user turning over and changing his head as the sleep level 420.
Specifically, the environmental sleep calculation unit 110, for example, processes time series data of acceleration acquired from the acceleration sensor 330 by FFT (Fast Fourier Transform) or the like, and calculates the body movement of the user from the amount of a specific frequency component. It may be calculated. At this time, the environmental sleep calculator 110 may calculate the body movement in a specific time of several tens of seconds to several tens of minutes, for example. In addition, the environmental sleep calculation unit 110 may calculate the frequency of change in head orientation and calculate the sleep level 420 based on the frequency.
In addition, the environmental sleep calculation unit 110 calculates, for example, that the sleep level 420 is low, assuming that the user feels uncomfortable when the body movement is greater than or equal to the threshold value based on a specific threshold value. Also good. That is, the environmental sleep calculator 110 may determine that the user is close to an awake state.
In addition, for example, when there is less body movement than a specific threshold, the environmental sleep calculation unit 110 may calculate that the sleep level 420 is high, assuming that the user can sleep well. That is, the environmental sleep calculation unit 110 may determine that the user is more sleepy (deep sleep).

The temperature calculation unit 120 calculates a non-wake temperature 440 that is a temperature for adjusting to suppress the user's awakening from the awakening tendency data 430.
Here, the temperature calculation unit 120 receives the ambient environment 410 detected by the environmental sleep calculation unit 110 and the sleep level 420 calculated by the environmental sleep calculation unit 110 as input, and uses each parameter of the awakening tendency data 430. The calculation is performed so as to output the value of the non-awake temperature 440. At this time, the temperature calculation unit 120 can calculate the non-wake temperature 440 by various algorithms. Below, the temperature calculation part 120 demonstrates the example which calculates the non-wakeful temperature 440 by an if-then type algorithm like an expert system as various algorithms.
Thereby, the temperature calculation unit 120 calculates the non-wake temperature 440 that is expected to make the user sleep better than simply cooling.

Specifically, the temperature calculation unit 120 may calculate the non-awaking temperature 440 using a parameter of “averaged data” included in the awakening tendency data 430. This “averaged data” is a tendency of temperature at which many users can sleep.
More specifically, the temperature calculation unit 120 may calculate the non-wake temperature 440 so that it is estimated that the sleep is not hindered by adjusting to the temperature in the ambient environment 410 and the sleep level 420. At this time, a parameter of “averaged data” corresponding to a user attribute described later may be used.

Further, the temperature calculation unit 120 may calculate the awakening temperature associated with the individual user. Here, the temperature calculation unit 120 may calculate the non-wakefulness temperature 440 based on the surrounding environment 410 and the sleepiness level 420 and the alertness tendency data 430 in which the alertness tendency learned for the individual user is set. That is, the temperature calculation unit 120 may calculate the non-awake temperature 440 based on a result of learning that the user who is the owner of the pillow apparatus 1a has an optimum temperature.
Specifically, for example, the temperature calculation unit 120 may calculate the non-wake temperature 440 based on the parameters of “customized data” associated with the user's personal surrounding environment 410 and the degree of sleep 420. This “customized data” is the tendency of the temperature at which the individual user is learned to be able to sleep.

The learning unit 130 learns the awakening tendency that is a relationship with the surrounding environment 410 and the sleepiness level 420 and sets the awakening tendency in the awakening tendency data 430.
Specifically, the learning unit 130 determines whether the user's sleep level 420 has actually changed when the device is adjusted to the non-wake temperature 440 calculated by the temperature calculation unit 120. It is determined whether or not the non-wake temperature 440 is appropriate. The learning unit 130 sets this determination result by feeding it back to the learning tendency data as an awakening tendency. This feedback may be executed by a learning method corresponding to various algorithms such as threshold adjustment, back propagation (error transmission), affirmation or rejection of a hypothesis, and likelihood calculation. Thereby, the customization data that allows the individual user to sleep can be set in the awakening tendency data 430.

  In the present embodiment, the temperature adjustment unit 12 adjusts the temperature of Peltier or the like to the non-wake temperature 440. Specifically, the temperature adjustment unit 12 performs cooling or heating so that the temperature of the Peltier or the like becomes the non-wake temperature 440 by PID control or the like, for example.

The ambient environment 410 is a value indicating the ambient environment detected by the environmental sleep calculator 110 from the signals of the sensors included in the sensor group 300. Specifically, the ambient environment 410 includes a value of the surrounding environment of the own device and / or the user detected by the environmental sleep calculation unit 110 from the signal of each sensor. Therefore, the ambient environment 410 may be configured as a vector, an array, a structure, or a class including a plurality of values corresponding to each sensor, for example.
Further, in the present embodiment, the ambient environment 410 includes the ambient temperature detected by the environmental sleep calculation unit 110, the presence or absence of sweating by the user, the value of the acceleration sensor 330, and the like. In addition, the ambient environment 410 may include values (sensor data) acquired by actual sensors.

  The sleep level 420 is a value indicating the level of sleep of the sleeping user, calculated by the environmental sleep calculation unit 110. The sleep level 420 may be set to a value corresponding to, for example, a state where the user is asleep in a specific range and a state where the patient is completely awake.

The awakening tendency data 430 is awakening tendency data indicating the relationship between the surrounding environment 410 and the sleepiness level 420 and the non-awakening temperature 440.
Specifically, the wakefulness tendency data 430 is data including values of parameters (parameter group) used to calculate the non-wakefulness temperature 440 from the surrounding environment 410 and the sleepiness level 420 determined by the environmental sleepiness calculation unit 110. It is. In addition, each parameter of the awakening tendency data 430 may be a value corresponding to various algorithms of the temperature calculation unit 120.

For example, in the case of an if-then (conditional expression) type algorithm, the arousal tendency data 430 may include a temperature threshold value, a sleepiness threshold value, and the like as parameters. Among these, the temperature threshold is a threshold used when the temperature around the device is determined. Further, the threshold of sleepiness is a threshold when it is determined whether the sleepiness level 420 is high sleep state or low sleep state. Further, the threshold value of the sleep degree may be a value such that the body movement has a specific number of times within a few minutes to several tens of minutes.
Further, the temperature threshold and the sleepiness threshold may be included in the parameters of the awakening tendency data 430.

The awakening tendency data 430 may include parameters of “averaged data” and “customized data”. That is, the awakening tendency data 430 may include an average parameter and a personal parameter.
Among these, the “averaged data” of the awakening tendency data 430 is an average parameter indicating the tendency of temperature at which many users can sleep, as described above. Specifically, the “averaged data” may be a learning result or the like learned for a large number of users regarding the tendency of the non-wake temperature 440 at which the sleepiness level 420 has increased. The “averaged data” may be prepared with a plurality of parameters for each user attribute. The attributes of this user are age, gender, BMI (Body Mass Index) and body fat percentage, birth area, cold or hot, average sleep time, morning type or night type, ambient noise during sleep, brightness at bedtime It may also be an attribute relating to the user's sleep, such as whether the bedding being used is a futon or a bed, or clothes at bedtime. That is, the “averaged data” may include a plurality of parameters indicating whether or not a user having a similar attribute is occurring. In other words, the “averaged data” may include, for each attribute, a parameter indicating whether or not the user of the attribute occurs in the surrounding environment 410 and the sleep level 420. This parameter is the sleep pattern of users with similar signs of arousal.
More specifically, in the case of an if-then algorithm, for example, the temperature threshold is the temperature, the sleepiness threshold is the sleepiness 420, and is set based on whether or not a person with similar attributes has occurred. May be. The awakening tendency data 430 may also include data indicating the above-described user attributes.

Further, as described above, the “customized data” of the awakening tendency data 430 is a parameter that is associated with the user's individual, that is, the temperature tendency that the individual user has learned to be able to sleep. Specifically, the “customized data” is a parameter of a user's awakening tendency learned by the learning unit 130 based on a parameter set in the user's individual attribute of “averaged data”. That is, the “customized data” is a learning result that is fed back as to whether there is an experience that has been awakened in the past in the surrounding environment and the degree of sleep 420. That is, “customized data” is a parameter of a user's personal sleep pattern. The “customized data” may be updated daily by the learning unit 130.
More specifically, in the case of an if-then algorithm, for example, the temperature threshold is the temperature, the sleepiness threshold is the sleepiness 420, and whether or not the user has had a past experience. May be set.
In addition to this, the awakening tendency data 430 may include a setting as to whether or not to learn “customized data”. In addition, the “customized data” may include parameters set from a dedicated application of the terminal 2a.

The non-awake temperature 440 is a temperature calculated by the temperature calculation unit 120 and adjusted to suppress the user's awakening. This non-wake temperature 440 may be set to be lower or higher than the user's body temperature by several degrees or more.
Here, the surrounding environment 410 and the degree of sleep 420 may be multidimensional data, and it may be assumed that the relationship with the non-wake temperature 440 does not necessarily show a linear correlation.

Here, the control unit 100a of the pillow apparatus 1a develops and executes the control program stored in the auxiliary storage unit of the storage unit 400a in the main storage unit, thereby causing the environmental sleep calculation unit 110, the temperature calculation unit 120, and It is made to function as the learning unit 130 or the like.
Moreover, each part of the above-mentioned pillow apparatus 1a becomes a hardware resource which performs the method of this invention.
A part or all of the functions executed by the control unit 100a may be configured by hardware using one or more ICs, programmable logic, FPGA (Field-Programmable Gate Array), ASIC, or the like. The same applies to the devices of the following embodiments.

[Functional configuration of terminal 2a]
Next, the functional configuration of the terminal 2a will be described with reference to FIG.
In this embodiment, the terminal 2a can execute the dedicated application installed in the storage unit as the application execution unit 200 in the control unit, and communicate with the communication unit 500 of the pillow apparatus 1a to transmit and receive data. It is.
In addition, the dedicated application execution unit 200 acquires an instruction from the user's GUI (Graphical User Interface), sets the user attribute of “averaged data” in the arousal tendency data 430, initializes and sets the “customized data”, and the like. May be performed. At this time, the dedicated application execution unit 200 may make a question to the individual user through the GUI. For example, the dedicated application execution unit 200 may ask a question for directly setting attributes such as age, sex, BMI, and body fat percentage. In addition, the dedicated application execution unit 200 may ask an item for setting the attribute indirectly. For example, this item allows the user to determine whether he / she feels hot or cold at bedtime, whether he / she has fallen asleep, whether he / she woke up from sleep in the past bedtime, etc. Also good. Thereby, the non-wake temperature 440 of the pillow apparatus 1a may be adjusted corresponding to the value set by the user.
The dedicated application execution unit 200 can also set whether to use only “averaged data” or “customized data” of the wake-up tendency data 430 when calculating the non-wake-up temperature 440 by a user instruction. It may be. The dedicated application execution unit 200 may also be able to set whether or not to perform learning.

Further, the learning unit 130 of the pillow apparatus 1a may be able to set customized data of the awakening tendency data 430 via the dedicated application execution unit 200 of the terminal 2a. At this time, the learning unit 130 may acquire the answer to the above-described question or the like from the terminal 2 a via the communication unit 500 and set it in the awakening tendency data 430.
Moreover, the terminal 2a of this embodiment does not need to adjust the non-wake temperature 440 directly in real time (real time) in the pillow adjustment process described below.
Moreover, the pillow adjustment system Xa of this embodiment can also be configured not to include the terminal 2a in the first place. In this case, the pillow apparatus 1a alone may be provided with a display unit or an input unit, or various settings may be possible with buttons, dip switches, or the like.

[Pillow adjustment processing by the pillow apparatus 1a]
Next, with reference to FIGS. 4-5, the pillow adjustment process by the pillow apparatus 1a of the pillow adjustment system Xa which concerns on 1st embodiment of this invention is demonstrated.
In the pillow adjustment process of the present embodiment, the ambient environment 410 of the sleeping user is detected based on the signal of each sensor in the sensor group 300, and the sleep level 420 is calculated. Then, the non-wakefulness temperature 440 is calculated using the detected ambient environment 410, the calculated resting degree 420, and the wakefulness tendency data 430. Thereafter, the temperature is adjusted to the calculated non-wake temperature 440.
In the pillow adjustment process of the present embodiment, the control unit 100a of the pillow apparatus 1a mainly executes the program stored in the storage unit 400a using hardware resources in cooperation with each unit.
Hereinafter, details of the pillow adjustment process of the present embodiment will be described step by step with reference to the flowchart of FIG. 4.

(Step S101)
First, the environmental sleep calculation unit 110 performs sensor signal acquisition processing.
When the user presses a switch, button, or the like, the environmental sleep calculation unit 110 starts the pillow adjustment process.
The environmental sleep calculation unit 110 acquires signals from the sensors of the sensor group 300 and temporarily stores them in the storage unit 400a. In the present embodiment, the environmental sleep calculation unit 110 acquires values of the temperature sensor 310, the humidity sensor 320, and the acceleration sensor 330.

(Step S102)
Next, the environmental sleep calculation unit 110 performs ambient environmental sleep level calculation processing.
The environmental sleep calculation unit 110 detects the ambient temperature of the device from the value of the temperature sensor 310 and sets the ambient temperature 410 in the storage unit 400a. In addition, the environmental sleep calculation unit 110 detects the user's perspiration from the value of the humidity sensor 320 and sets it in the ambient environment 410 of the storage unit 400a. In addition, the environmental sleep calculation unit 110 detects the user's body movement by the acceleration sensor 330, thereby calculating the sleep level 420 and stores it in the storage unit 400 a.

(Step S103)
Next, the temperature calculation unit 120 performs a temperature calculation process.
The temperature calculation unit 120 refers to the surrounding environment 410 and the sleep degree 420 from the storage unit 400 a and inputs them to the awakening tendency data 430. Based on these inputs, the temperature calculation unit 120 calculates the non-wake temperature 440 by various algorithms and outputs it to the storage unit 400a.

(Step S104)
Next, the temperature calculation unit 120 performs a temperature adjustment control process.
The temperature calculation unit 120 sets the non-awake temperature 440 in the temperature adjustment unit 12 and causes the temperature adjustment unit 12 to control the temperature so that the temperature of the Peltier or the like becomes the non-awake temperature 440.
Here, when the non-wake temperature 440 is set to be the same as the temperature around the device itself, the temperature calculation unit 120 may not perform temperature adjustment. In this case, the temperature calculation unit 120 may control the temperature adjustment unit 12 to turn off a power source such as Peltier.

(Step S105)
Next, the learning unit 130 determines whether to perform learning. For example, when the learning unit 130 is set to learn in the awakening tendency data 430, the learning unit 130 determines Yes. In other cases, the learning unit 130 determines No.
In the case of Yes, the learning unit 130 proceeds with the process to step S106.
In No, the learning unit 130 ends the pillow adjustment process.

(Step S106)
In the case of learning, the learning unit 130 performs a learning process.
The learning unit 130 calculates the sleep level 420 of the user again when the device is adjusted to the non-wake temperature 440. At this time, the learning unit 130 calculates an arousal tendency based on whether the sleep level 420 has changed. Then, the learning unit 130 sets the calculated awakening tendency in the awakening tendency data 430.
In the learning process described above, the learning unit 130 may execute the learning in real time or after the user wakes up and finishes the temperature adjustment of the pillow apparatus 1a.
Further, the learning unit 130 may learn by creating “customized data” based on the “averaged data” of the user attribute, even if the setting of the “averaged data” parameter is used. .
Thus, the pillow adjustment process according to the embodiment of the present invention is completed.

Next, with reference to FIG. 5, the details of the temperature calculation processing in step S103 of the present embodiment will be described.
This temperature calculation process is an example of calculating the non-wake temperature 440 using an if-then algorithm.

(Step S131)
First, the temperature calculation unit 120 determines whether or not the user's sweat has been detected. The temperature calculation unit 120 determines Yes when the user's perspiration is detected by the environment sleep calculation unit 110 and the ambient environment 410 is set. The temperature calculation unit 120 determines No when the user's perspiration is not detected.
In Yes, the temperature calculation part 120 advances a process to step S134.
In No, the temperature calculation part 120 advances a process to step S132.

(Step S132)
When the user's sweat is detected, the temperature calculation unit 120 determines whether the temperature is equal to or higher than a threshold value.
The temperature calculation unit 120 refers to the surrounding environment 410 and the awakening tendency data 430. On this basis, the temperature calculation unit 120 determines Yes when the temperature around the device is, for example, a temperature threshold value or more. In other cases, for example, the temperature calculation unit 120 determines No if the temperature around the device is less than the temperature threshold.
In the case of Yes, the temperature calculation unit 120 proceeds with the process to step S133.
In No, the temperature calculation part 120 advances a process to step S135.

(Step S133)
When the temperature is equal to or higher than the threshold, the temperature calculation unit 120 determines whether the sleep level 420 is low. For example, the temperature calculation unit 120 determines Yes when the frequency of the user's body movement or the like is high and the sleep level 420 is less than the sleep level threshold. In other cases, for example, when the frequency of body movement is low and the sleep level 420 is equal to or greater than the threshold of sleep level, the temperature calculation unit 120 determines No.
In Yes, the temperature calculation part 120 advances a process to step S134.
In No, the temperature calculation part 120 advances a process to step S135.

(Step S134)
Here, the temperature calculation unit 120 performs a non-wake temperature reduction setting process.
For example, when the user's perspiration is detected or the temperature of the temperature adjustment unit 12 is equal to or higher than the temperature threshold value and the sleep level 420 is lower than the threshold value, the temperature calculation unit 120 sets the non-wake temperature 440 to be low. This is because it shows a sign that the user cannot sleep well.

(Step S135)
Here, the temperature calculation unit 120 performs a non-wake temperature room temperature setting process.
For example, when the user's perspiration is not detected and the temperature of the temperature adjustment unit 12 is less than the threshold value or the sleep level 420 is equal to or greater than the threshold value, the temperature calculation unit 120 determines the non-wake temperature 440 as the temperature around the device itself. The temperature itself is set to a temperature higher by about 0.01 ° C. to several degrees. This is because the user can sleep well and is considered to be at an appropriate temperature or too low.
Thus, the temperature calculation process according to the embodiment of the present invention is completed.

With the configuration described above, the following effects can be obtained.
Conventionally, the pillow apparatus as described in Patent Document 1 performs temperature control using only one or only one type of sensor that detects the skin surface temperature. Specifically, since the pillow apparatus of Patent Document 1 is temperature-controlled by one or one type of temperature sensor so as to reach a temperature in a fixed range of 35 ± 0.5 ° C., the user is prevented from falling asleep. Has been awakened. In other words, simply measuring the user's scalp temperature with a single temperature sensor cannot perform control corresponding to the user's sleeping environment and individual differences. For example, if the surroundings are hot or the humidity is high, the user tends to sleep better if the pillow is cooler regardless of the skin surface temperature of the head. Also, for example, when the surroundings are cold or the humidity is low, adjusting the pillow to a low temperature regardless of the skin surface temperature of the head will cool the user's body and prevent sleep, so it is necessary to increase the temperature of the pillow was there. In addition, for example, when the sleep level is low, such as when the user turns over, the user tends to wake up regardless of the skin surface temperature of the head.
On the other hand, the pillow apparatus 1a according to the present embodiment detects the surrounding environment 410 based on the signal of the sensor group 300a that detects the surroundings and the state of the user, and calculates the sleeping degree 420 of the user. Based on the awakening tendency data 430 that is the data of the awakening tendency indicating the relationship between the surrounding environment 410 and the sleepiness level 420 and the non-wakefulness temperature 440 that is a temperature for adjusting the user's awakening, The temperature calculation unit 120 that calculates the non-wake temperature 440 in the ambient environment 410 detected by 110 and the calculated degree of sleep 420, and the temperature adjustment unit 12 that adjusts the temperature to the non-wake temperature 440 calculated by the temperature calculation unit 120. With. In the present embodiment, the sensor group 300a is a group consisting of a temperature sensor 310, a humidity sensor 320, an acceleration sensor 330, an illuminance sensor, a sound sensor, a pulse wave sensor, a myoelectric sensor, an expiration sensor, an electroencephalogram sensor, and a camera. Including any combination.
It is possible to provide the pillow apparatus 1 that is configured as described above and that makes it difficult for the user to be awakened by adjusting to the non-wakeful temperature 440 using any combination of the sensors of the plurality of sensor groups 300a. Specifically, the environment / sleep calculation unit 110 uses the sensor combination signal included in the sensor group 300a to calculate individual differences in the surrounding environment and sleepiness at the time of the user's sleep compared to the conventional pillow device. Can be detected. That is, it becomes possible to appropriately detect and calculate the surrounding environment 410 and the sleep level 420 of the user who is sleeping, and it becomes easy to grasp the sign that the individual user cannot sleep. Thereby, it is possible to provide the pillow apparatus 1 that can be controlled to a temperature more in consideration of the individual user than when a single sensor is used as in the prior art.
In addition, the temperature calculation unit 120 uses the ambient environment 410 and the sleepiness level 420 and the arousal tendency data 430 as appropriate temperatures for the user. It is possible to calculate an appropriate non-wake temperature 440. Further, the temperature adjustment unit 12 controls the temperature of the pillow apparatus 1a at the non-wake temperature 440, thereby reducing the possibility that the user feels uncomfortable and making it difficult for the user to be awake.

Conventionally, just measuring the skin temperature of the user's head as in the technique of Patent Document 1 is insufficient to accurately grasp the user's state. Moreover, the technique of patent document 1 did not grasp the surrounding environment 410.
In contrast, in the pillow apparatus 1a of the present embodiment, a sensor group 300a, which is a plurality of sensors, includes a temperature sensor 310 that detects the temperature around the apparatus, a humidity sensor 320 that detects user sweating, And an acceleration sensor 330 that detects the acceleration of the apparatus. In addition, the environmental sleep calculation unit 110 detects the ambient environment 410 with the temperature sensor 310 and the humidity sensor 320, detects the user's body movement with the acceleration sensor 330, and calculates the sleep level 420.
With this configuration, it is possible to appropriately detect the surrounding environment 410 and calculate the user's sleep level 420. Therefore, the non-wake temperature 440 can be appropriately calculated. Specifically, the ambient temperature 410 of the user apparatus is detected by the temperature sensor 310 and the perspiration of the user is detected by the humidity sensor 320, so that the user's ambient environment 410 can be detected in accordance with the user's experience. That is, as the surrounding environment 410, it is possible to more accurately estimate the state of “hot”, “cold”, “just right” that the user is experiencing. In addition, the acceleration sensor 330 can detect the user's turning over, and the sleep level 420 can be accurately grasped. In other words, each sensor detects signs such as high ambient temperature, sweating, falling asleep and not being able to sleep, and determine how to respond to it to prevent sleep. The non-wake temperature 440 can be calculated. Further, it is possible to perform appropriate temperature control such as cooling or warming the Peltier or the like of the temperature adjustment unit 12 corresponding to the non-wakening temperature 440. Thereby, it becomes possible to control to the temperature which considered the user individual from the conventional pillow apparatus.
Further, since the acceleration sensor 330 is inexpensive, it is possible to detect the user turning over while reducing the cost of the pillow apparatus 1.

Conventionally, in the technique of Patent Document 1, the temperature is controlled to be in a fixed range of 35 ± 0.5 ° C. regardless of the user's individual attribute.
On the other hand, in the pillow apparatus 1a of this embodiment, the temperature calculation part 120 calculates the non-wake temperature 440 matched with the user individual.
With this configuration, more optimized temperature control is possible. For example, as shown in the above-described example, it is possible to calculate and control the non-wake temperature 440 based on “averaged data” that is a sleep pattern of users having similar attributes corresponding to the attributes of individual users. It becomes. Furthermore, temperature control using “customized data” reflecting the learning result of the individual user temperature control is also possible. Further, for example, “averaged data” and “customized data” can be switched optimally and used optimally.
As a result, “too hot” and “too cold” due to inappropriate temperature adjustment can be prevented, and more appropriate temperature control can be performed. Therefore, conventionally, it is possible to provide the pillow apparatus 1a that makes the user sleep.

Moreover, the pillow apparatus 1 a according to the present embodiment further includes a learning unit 130 that learns the awakening tendency that is the relationship between the ambient environment 410 and the sleepiness level 420 and the non-wakening temperature 440 and sets the awakening tendency data 430.
With this configuration, the learning unit 130 learns the awakening tendency, and more appropriate temperature control for the individual user can be realized. Thereby, for example, by the temperature control of the non-wake temperature 440 based on “customized data” tailored to the user, the possibility of making the user sleep more can be increased.

  In the above-described embodiment, the secondary battery 11 may be a large-capacity capacitor for storing electric power, which is not necessarily a “battery”.

In addition, the temperature adjustment unit 12 controls the temperature by cooling or heating so that the temperature of the gel sheet 13 or the surface of the housing 15 on which the user's head is placed becomes the non-wake temperature 440. Also good.
In addition, the control circuit of the temperature adjustment unit 12 may be included in the control board 10a. Moreover, the temperature adjustment part 12 may be equipped with the built-in temperature sensor integrated with Peltier etc. and controlled autonomously so that it may become set temperature, for example.

In addition, each sensor of the sensor group 300a may be provided inside or outside the housing 15a instead of on the control board 10a. Of these, the humidity sensor 320 may be provided between the gel sheet 13 and the housing 15 so as to insulate the condensation of the gel sheet 13 and detect only the user's sweat.
Moreover, as will be described in other embodiments described later, each sensor of the sensor group 300a is a sensor of another device independent of the pillow device 1a and may be connectable via the communication unit 500.

Moreover, the humidity sensor 320 may detect a user's perspiration by measuring the humidity inside the housing | casing 15 of an own apparatus except the influence of the dew condensation of the gel sheet 13, for example.
The acceleration sensor 330 may be a sensor that does not necessarily detect detailed acceleration and generates a signal when a specific acceleration is applied to the device itself.

In the temperature calculation process described above, an if-then algorithm may not be used.
For example, the temperature calculation unit 120 may calculate the non-wakening temperature 440 using a simple linear format or the like as various algorithms.
Further, the temperature calculation unit 120 includes various algorithms such as artificial neural networks including deep learning, decision trees, support vector machines, various AI (Artificial Intelligence) using fuzzy functions, Bayesian networks, regression analysis, and the like as various algorithms. It is possible to use a technique.
In addition, the temperature calculation unit 120 uses the hysteresis calculation, the Hopfield type neural network, the Markov chain, or the like to consider the temporal change of the surrounding environment 410 and the sleepiness 420, and the optimum non-wakening at the present time The temperature 440 may be calculated. At this time, the temperature calculation unit 120 may calculate the non-wake temperature 440 in consideration of a temperature difference from the previously calculated non-wake temperature 440, a temperature change rate, acceleration, and the like.
Further, as the parameter values of the awakening tendency data 430 in these various algorithms, parameters such as linear index and constants, parameters such as various AI weighting and branch setting values, statistic parameters, and the like may be used. Good.
The temperature calculation unit 120 may calculate the non-wakefulness temperature 440 from the input ambient environment 410 and sleepiness level 420 using various AIs, statistical methods, and the like by using these various algorithms.

<Second embodiment>
Next, a second embodiment of the pillow adjustment system Xb of the present invention will be described with reference to FIG.
Although the pillow adjustment system Xb of this embodiment includes the pillow apparatus 1b and the terminal 2b as in the first embodiment described above, the pillow adjustment system Xb is shared by the respective apparatuses and performs temperature control as the entire system. Explaining this outline, first, the pillow apparatus 1b acquires signals from the same sensors as in the first embodiment, and transmits them to the terminal 2b. Then, the terminal 2b detects the surrounding environment 410 and calculates the user's sleep level 420, calculates the non-wake temperature 440, and transmits it to the pillow apparatus 1b. The pillow apparatus 1b which received this controls temperature to the non-wake temperature 440, and suppresses a user's drowsiness.

[Control configuration of pillow adjustment system Xb]
First, FIG. 6 demonstrates the control structure of the pillow apparatus 1b and the terminal 2b which concern on 2nd embodiment of the information processing system Xb of this invention.
Hereinafter, since the same reference numerals as those in the first embodiment indicate the same or similar configurations, the preceding description is referred to. The same applies to other embodiments.

In this embodiment, the pillow apparatus 12b includes a control unit 100b, a storage unit 400b, and a sensor group 300b on the control board 10b. Each unit is connected to the control unit 100b and controlled in operation by the control unit 100b.
The terminal 2b includes a control unit 101b, a storage unit 401b, an input unit 600, a display unit 700, a communication unit 501, and the like. Each unit is connected to the control unit 101b and controlled in operation by the control unit 101b.

Here, the control unit 100b and the control unit 101b are information processing units similar to the control unit 100a of the first embodiment.
The storage unit 400b and the storage unit 401b are non-transitional tangible recording media similar to the storage unit 400a of the first embodiment.
In the present embodiment, the sensor group 300b may include the same type of sensors as the sensor group 300a of the first embodiment.
Moreover, the communication part 501 is a communication connection part similar to the communication part 500 of the pillow apparatus 1b.

  The input unit 600 is a touch panel, a pointing device such as a mouse, a button, a keyboard, an acceleration sensor, a line-of-sight sensor, a biometric authentication sensor, or the like. The input unit 600 acquires input by the user using a GUI of the dedicated application, various instructions, and the like.

The display unit 700 is an LCD (Liquid Crystal Display), an organic EL display, an LED (Light Emitting Diode), or the like.
Further, the input unit 600 and the display unit 700 may be integrally formed.

  In the present embodiment, as in other embodiments, any or all of the sensors in the sensor group 300b may be configured as other devices independent of the pillow device 1b. In this case, a sensor signal can be transmitted from these other devices to the pillow device 1b or the terminal 2b.

[Functional configuration of pillow adjustment system Xb]
Next, functional configurations of the pillow apparatus 1b and the terminal 2b of the pillow adjustment system Xb of the present embodiment will be described.
The control unit 100b includes a signal transmission unit 140 and a temperature reception unit 170.
The storage unit 400b stores the non-wake temperature 440 and sensor data 450.
The control unit 101b includes an environmental sleep calculation unit 110, a temperature calculation unit 120, a learning unit 130, a signal reception unit 150, and a temperature transmission unit 160.
The storage unit 401b stores an ambient environment 410, a sleep degree 420, awakening tendency data 430, and a non-wakefulness temperature 440.

  The signal transmission unit 140 transmits the sensor data 450 to the terminal 2b. Specifically, the signal transmission unit 140 sends sensor data 450 in which the signals of each sensor acquired from the sensor group 300 are collected to the terminal 2b through the communication unit 501 at specific time intervals when the user goes to bed. Send. The specific time interval may be several milliseconds to several tens of minutes. Further, when transmitting the sensor data 450, the signal transmission unit 140 may establish a connection with the terminal 2b, start a dedicated application of the terminal 2b, and start temperature control of the pillow apparatus 1b.

  The signal receiving unit 150 receives the sensor data 450 from the pillow apparatus 1b via the communication unit 500. The signal receiving unit 150 stores the received sensor data 450 in the storage unit 400b and causes the environment sleep calculation unit 110 to use it.

  The temperature transmission unit 160 transmits the non-wake temperature 440 calculated by the temperature calculation unit 120 to the pillow apparatus 1 via the communication unit 500. The temperature transmitter 160 may perform this transmission at specific time intervals.

  The temperature receiving unit 170 receives the non-wake temperature 440 from the terminal 2b via the communication unit 501. In the present embodiment, the received non-wake temperature 440 is calculated by the terminal 2 b corresponding to the sensor data 450 transmitted by the signal transmission unit 140. In addition, the temperature receiving unit 170 adjusts the temperature of the temperature adjusting unit 12 to the non-wake temperature 440 received by the temperature receiving unit 170.

  The sensor data 450 is data in which signal values of a plurality of sensors are collected. In the present embodiment, the sensor data 450 may include values acquired by actual sensors in the sensor group 300b.

Here, the control unit 100b of the pillow apparatus 1b is caused to function as the signal transmission unit 140, the temperature reception unit 170, and the like by executing the control program stored in the storage unit 400b.
Further, the control unit 101b of the terminal 2b executes a dedicated application or the like stored in the storage unit 401b, so that the environmental sleep calculation unit 110, the temperature calculation unit 120, the learning unit 130, the signal reception unit 150, and the temperature transmission unit 160 or the like. In the present embodiment, the control unit 101b functions as a dedicated application execution unit that executes a dedicated application or the like, as with the application execution unit 200 according to the first embodiment. Note that the controller 101b may also be able to make various settings for the pillow apparatus 1b, as with the application execution unit 200.
Moreover, each part of the above-mentioned pillow apparatus 1b and the terminal 2b becomes a hardware resource which performs the method of this invention.

[Pillow adjustment processing by pillow adjustment system Xb]
Next, with reference to FIG. 7, the pillow adjustment process by the pillow apparatus 1b and the terminal 2b according to the second embodiment of the pillow adjustment system Xb of the present invention will be described.
The pillow adjustment process of this embodiment transmits the signal of each sensor of the sensor group 300 of the pillow apparatus 1b as sensor data 450 to the terminal 2b. Then, the terminal 2b performs detection of the surrounding environment 410, calculation of the user's sleep level 420, and calculation of the non-wake temperature 440 similar to those in the first embodiment described above. The non-wake temperature 440 calculated by the terminal 2b is transmitted to the pillow apparatus 1b. The pillow apparatus 1b adjusts the temperature of the temperature adjustment unit 12 to the received non-wake temperature 440.
In the pillow adjustment process of the present embodiment, the control unit 100b of the pillow apparatus 1b mainly stores the program stored in the storage unit 400b, and the control unit 100b of the terminal 2b stores the program stored in the storage unit 400b. To work with hardware resources.
Below, with reference to the flowchart of FIG. 7, the detail of the pillow adjustment process of this embodiment is demonstrated for every step.

(Step S201)
First, the signal transmission unit 140 of the pillow apparatus 1b performs a signal acquisition transmission process.
The signal transmission unit 140 detects that a user has pressed a switch, button, or the like, or has been instructed by a dedicated application or the like of the terminal 2b, and starts signal acquisition transmission processing.
First, the signal transmission unit 140 acquires the signals of the sensors in the sensor group 300, summarizes them as sensor data 450, and temporarily stores them in the storage unit 400b.
Then, the signal transmission unit 140 establishes a connection with the terminal 2b and transmits the sensor data 450 to the terminal 2b at specific time intervals.

(Step S301)
Here, the signal reception unit 150 of the terminal 2b performs signal reception processing.
The signal receiving unit 150 receives the sensor data 450 from the pillow apparatus 1b and stores it in the storage unit 400b.

(Step S302) to (Step S303)
Step S302 of this embodiment is performed similarly to step S103 of step S102 and step S303 of 1st embodiment shown in FIG.

(Step S304)
Next, the temperature transmission unit 160 performs a temperature transmission process.
The temperature transmitter 160 transmits the non-wake temperature 440 stored in the storage unit 401b to the pillow apparatus 1b at specific time intervals.

(Step S202)
Here, the temperature receiving unit 170 of the pillow apparatus 1b performs a temperature receiving process.
The temperature receiving unit 170 receives the non-wake temperature 440 and stores it in the storage unit 401b.

(Step S203)
Next, the temperature receiving unit 170 performs a temperature adjustment control process.
The temperature receiving unit 170 sets the non-wake temperature 440 stored in the storage unit 400b in the temperature adjustment unit 12, and adjusts the temperature of the temperature adjustment unit 12 such as Peltier to the non-wake temperature 440. This process may be performed in the same manner as step S104 in FIG.
Furthermore, the temperature receiving unit 170 may notify the terminal 2b when the temperature of the temperature adjusting unit 12 reaches the non-wake temperature 440.

(Step S305)
Here, the learning unit 130 of the terminal 2b determines whether or not to perform learning. The learning unit 130 makes this determination in the same manner as Step S105 of the first embodiment.
In the case of Yes, the learning unit 130 proceeds with the process to step S306.
In No, the learning part 130 complete | finishes the process of the terminal 2b of a pillow adjustment process.

(Step S306)
When learning is performed, the learning unit 130 performs a learning process.
This learning process is also performed in the same manner as step S106 of the first embodiment. Then, the learning unit 130 provides feedback to the awakening tendency data 430 in the storage unit 401b.
Thus, the pillow adjustment process according to the second embodiment of the present invention is completed.

With the configuration described above, the following effects can be obtained.
The pillow adjustment system Xb of this embodiment includes a pillow apparatus 1b and a terminal 2b that is an information processing apparatus connected to the pillow apparatus 1b. The pillow apparatus 1b includes a plurality of sensors, a signal transmission unit 140 that transmits signals from the plurality of sensors to the information processing apparatus, and signals from the plurality of sensors that are transmitted by the signal transmission unit 140 from the information processing apparatus. The temperature receiver 170 that receives the non-wake temperature 440 that is a temperature for adjusting the user to wake up, and the temperature adjuster 12 that adjusts the non-wake temperature 440 received by the temperature receiver 170. Prepare. In addition, the terminal 2b detects the surrounding environment 410 based on the signal reception unit 150 that receives signals from the plurality of sensors from the pillow apparatus 1 and the signals from the plurality of sensors that are received by the signal reception unit 150. The environmental sleep calculation unit 110 that calculates the degree 420, and the temperature calculation unit that calculates the non-wake temperature 440 based on the awakening tendency data 430 corresponding to the ambient environment 410 calculated by the environmental sleep calculation unit 110 and the user's sleep level 420 120 and a temperature transmitter 160 that transmits the non-wake temperature 440 calculated by the temperature calculator 120 to the pillow apparatus 1.
By comprising in this way, it becomes possible to perform temperature control which makes a sleep more shared by sharing a process with the pillow apparatus 1b and the terminal 2b. In addition, since the pillow apparatus 1b includes the communication transmission unit and the temperature reception unit 170, the pillow apparatus 1b does not detect the surrounding environment 410, calculates the user's sleep level 420, and does not calculate the non-wake temperature 440. Also gets better. Therefore, the configuration of the control unit 100b and the storage unit 400b of the pillow apparatus 1b can be simplified, power consumption can be reduced, and cost can be reduced.
Further, since the terminal 2b includes the signal reception unit 150 and the temperature transmission unit 160, the surrounding environment 410 is detected and the user's sleep level 420 is calculated using the relatively high-performance control unit 101b and the storage unit 401b. The non-wake temperature 440 can be calculated and transmitted to the pillow apparatus 1b. For this reason, temperature control with higher frequency and higher accuracy is possible. In addition, since the terminal 2b is a general-purpose information processing apparatus, it is easy to update the dedicated application, and it is easy to improve various algorithms and solve problems.
As a result, the cost of the entire system can be reduced, and more appropriate temperature control can be performed.

<Third embodiment>
Next, with reference to FIG. 8, the pillow apparatus 1c which concerns on 3rd embodiment of the pillow adjustment system Xc of this invention is demonstrated.
In the first embodiment described above, an example including the temperature sensor 310, the humidity sensor 320, and the acceleration sensor 330 as the sensor group 300a that is a plurality of sensors has been described. Moreover, the sensor group 300b of 2nd embodiment demonstrated the example using each sensor similar to the sensor group 300a.
In this regard, it is possible to use other types of sensors as the plurality of sensors. The pillow apparatus 1c of the present embodiment is an example in which an electroencephalogram sensor 340 is included in the sensor group 300c of the control board 10c in addition to the temperature sensor 310 and the humidity sensor 320.

The electroencephalogram sensor 340 is, for example, an electrode and an amplifier provided on the surface of the housing 15 and may detect an electroencephalogram with a specific bias. The electroencephalogram sensor 340 may be fixed to the user's head with a belt or the like and connected to the control board 10c of the pillow apparatus 1c to measure the user's brain waves.
The brain wave sensor 340 makes it possible to calculate the user's sleep level 420 in the same manner as the acceleration sensor 330 of the first embodiment described above. In other words, it is possible to acquire and determine signs that the patient cannot sleep well, such as an electroencephalogram with a light sleep. In addition, using the electroencephalogram sensor 340, the temperature calculation unit 120 may determine that the user is in a REM sleep or non-REM sleep state and output the value of the non-wake temperature 440.
Thereby, exact temperature control is attained corresponding to a user's sleep cycle etc.

In the present embodiment, the control unit 100c performs the temperature control autonomously with the same functional configuration as the control unit 100a of the first embodiment and the storage unit 400c of the control unit 100a of the first embodiment. Good.
Further, the control unit 100c has the same functional configuration as the control unit 100b of the second embodiment and the storage unit 400c has the same functional configuration as the control unit 100b of the second embodiment, and the terminal 2 in which the pillow apparatus 1c and the dedicated application are installed. It is also possible to perform temperature control in a shared manner.
Also in these examples, the electroencephalogram sensor 340 may be used when calculating the degree of sleep 420.

The above-described electroencephalogram sensor 340 is an example, and other sensors may be provided.
For example, the illuminance around the device itself may be measured by an illuminance sensor. The ambient light sensor 410 can be detected by the illuminance sensor.
The sound sensor can also measure sounds around the device, user's sleep, bruxism, snoring, and the like. In other words, the sound sensor can calculate the sound around the device as the user's surrounding environment 410, and can calculate the sleep level 420 based on the user's sleep, bruxism, snoring, and the like. Further, the user's sleep level 420 may be calculated by detecting the sound of the user's bedding and clothes.
It is also possible to measure a user's body temperature with a temperature sensor. As this body temperature, the body temperature and / or the deep body temperature of the skin surface may be measured. Thereby, it becomes possible to assist calculation of the user's sleep level 420.
It is also possible to detect a user's pulse wave with the pulse wave sensor. Also by this pulse wave, the user's sleep level 420 can be calculated.
It is also possible to measure the intensity of the action potential (surface myoelectric potential) of the user's muscle with the myoelectric sensor. With the myoelectric sensor, it is possible to calculate the degree of sleep 420 during the user's sleep.
It is also possible to detect a user's respiration with an exhalation sensor. It is also possible to calculate the degree of sleep 420 from the state of the user's exhalation by the exhalation sensor.

In addition, as the electroencephalogram sensor 340 of the present embodiment, a magnetic sensor or the like that measures a cerebral magnetic field may be used instead of the “electroencephalogram”.
Furthermore, other sensors can be used. These sensors may be used in any combination in the first to third embodiments described above.

<Fourth embodiment>
Next, with reference to FIG. 9, the pillow apparatus 1d which concerns on 4th embodiment of the pillow adjustment system Xd of this invention is demonstrated.
The pillow apparatus 1d of the present embodiment performs temperature control in conjunction with an independent other apparatus by the communication unit 500 on the control board 10d.
For this reason, the pillow apparatus 1d of this embodiment may receive signals from these other apparatuses as a plurality of sensors. The pillow apparatus 1d may perform temperature control in conjunction with other apparatuses other than the terminal 2d.

Specifically, the pillow apparatus 1d of the present embodiment stores IoT middleware 460 corresponding to a control API (Application Programming Interface) disclosed for controlling the pillow apparatus 1 in the storage unit 400d.
The control unit 100d executes the IoT middleware 460 in addition to executing processing related to the same or similar functions as the functional units of the first to third embodiments described above. Thereby, the control unit 100d functions as a control API execution unit. That is, the pillow apparatus 1d can perform temperature control in conjunction with other apparatuses.

  In the present embodiment, for example, a device corresponding to the sensor group 300 such as a room temperature meter, a sleep meter, an expiration meter, and a camera, and / or a terminal 2d that is an information processing device, an external server, and the like can be linked.

  The room temperature meter is a temperature measurement device including a temperature sensor that acquires the room temperature of the room where the device and the user are present, for example. The room temperature meter transmits the acquired temperature to the pillow apparatus 1d by a wireless communication circuit for IoT or the like. Thereby, the pillow apparatus 1d can acquire the room temperature similar to the temperature around the own apparatus. Note that, similarly to this room temperature system, it is possible to interlock with a hygrometer equipped with a wireless communication circuit for IoT, an air purifier incorporating these, and the like.

  The sleep meter is, for example, a sleep detection device that can detect that the user is sleeping. The sleep meter may include, for example, an acceleration sensor that can detect a user's body movement. Specifically, the sleep meter may be, for example, a mechanical acceleration sensor that interlocks with a spring provided in the bed. In addition, the sleep meter transmits to the pillow apparatus 1d whether or not the user is sleeping or awakened by a wireless communication circuit for IoT.

The breath meter is a device that includes a breath sensor such as a barometer or a CO ₂ meter that measures a user's breathing state. The breath meter also transmits the measurement result through a wireless communication circuit for IoT.

  The camera may be a network camera or the like that can capture images from the user. Further, the camera may include an infrared night vision device or the like. For example, the camera is provided near the ceiling, can capture a sleeping user, recognize the user's head and body, and detect the user's body movement. Thereby, similarly to the acceleration sensor 330, the user's sleep level 420 can be calculated. The camera can also detect the reflection of sweat and the like by imaging the face of the user. Thereby, similarly to the humidity sensor 320, it is also possible to detect the user's perspiration.

  A device corresponding to the sensor group 300 can detect the surrounding environment 410 and calculate the user's sleep level 420.

Further, the terminal 2d of the present embodiment is an information processing apparatus similar to those of the first to third embodiments described above. The terminal 2d executes a dedicated application or the like that is the same as or similar to that in the first to third embodiments described above, and executes the same processing as that of the function unit described above. In addition to this, the terminal 2d may transmit signals of various sensors incorporated therein to the pillow apparatus 1d. For example, the terminal 2d may calculate the user's sleep level 420 measured by the built-in acceleration sensor 330 and transmit it to the pillow apparatus 1d. Further, the terminal 2d may realize the same processing as the above-described camera with a built-in camera.
Further, as the terminal 2d, a configuration using a band terminal, a clock-type terminal, a pasted-type terminal, an implantable terminal, a swallowable robot, or the like worn on the user's arm or the like is also possible.

The external server is an information processing apparatus such as an intranet server or a server on a so-called “cloud”. This external server may share the pillow apparatus 1d and perform temperature control in the same manner as the terminal 2b of the second embodiment described above.
In addition, the external server may collect averaged data by collecting a large number of user attributes, learning results of the awakening tendency data 430, customized data, and the like.
The external server may distribute a dedicated application for the terminal 2 or provide firmware that is a control program for the pillow apparatus 1d.

By configuring as described above and cooperating with other external devices, the pillow device 1d of the present embodiment can be adjusted to a temperature that suppresses the user's awakening more accurately. Further, the temperature of the pillow apparatus 1d can be controlled from an external information processing apparatus with an optimum configuration suitable for the user's environment.
Moreover, since the pillow apparatus 1d does not need to incorporate a plurality of sensors, the configuration can be simplified and the cost can be reduced.

<Other embodiments>
In the above-described embodiments, it has been described that the sensor group 300 includes two or more types of sensors. In this regard, even if the physical quantities to be measured are the same type, a configuration in which sensors having different arrangements, measurement targets, measurement directions, and the like are provided is also possible.
For example, a plurality of temperature sensors 310 may be provided. Thereby, it may be possible to measure the temperature difference between the device itself and the external temperature. Also, a temperature sensor 310 that detects the user's body temperature may be usable at the same time.
Also, a plurality of humidity sensors 320 may be provided. In this case, the humidity sensor 320 may be capable of detecting the humidity around the device itself. That is, the temperature sensor 310 may be capable of simultaneously measuring the humidity around the device and the user's perspiration.
Also, a plurality of acceleration sensors 330 may be provided. In this case, each acceleration sensor 330 may detect a separate acceleration with a head, a trunk, a limb, etc., and may measure a turn, involuntary movement, etc., for example.
Moreover, about a camera, you may arrange | position the camera of a some angle, for example. In addition, a camera arranged in the center of the user's sleeping room, a camera that reflects the user's sleeping face, and the like may be arranged separately.
In addition, the electroencephalogram sensor 340 may include sensors for a plurality of parts of the brain, for example. As for the pulse wave sensor, for example, the pulse wave in the deep part (the trunk) may be compared with the peripheral pulse wave. As for the breath sensor, another type of sensor having different measurement objects such as a barometer and a CO ₂ meter may be used. From these differences and the like, it is also possible to calculate the user's sleep level 420 with higher accuracy.
Further, with respect to the illuminance sensor and the sound sensor, it is also possible to assist in detecting the surrounding environment 410 by comparing the place where the user is sleeping and the illuminance outside.
The combination of these sensors makes it possible to accurately detect the surrounding environment 410 and calculate the user's sleep level 420. Therefore, in consideration of individual differences among users, it is possible to accurately calculate the non-wake temperature 440 that can suppress the user's awakening and make it sleep.

  Moreover, about each above-mentioned embodiment, the example which is a typical pillow which a user puts a head on a bed, a futon, etc. about the pillow apparatus 1 was demonstrated. However, the pillow apparatus 1 is not necessarily a typical pillow. For example, the pillow apparatus 1 may be configured as a pillow, a rug such as a sheet, a sleeping bag, a comforter, a driver's seat, clothes, and the like.

  Further, in each of the above-described embodiments, an example in which a dedicated application or the like is executed on the terminal 2 has been described. However, a configuration in which a web server is executed by the pillow apparatus 1 and set by the web browser of the terminal 2 is also possible.

  Moreover, in each above-mentioned embodiment, the example in which the secondary battery 11 was incorporated in the pillow apparatus 1 was demonstrated. However, in the pillow apparatus 1, the power may be supplied to the control board 10 not by the secondary battery 11 but by a switching power supply that converts AC power into DC. In this case, power may be supplied to the pillow apparatus 1 by an external power source such as an AC-DC adapter. Moreover, a power supply may be supplied to each part of the pillow apparatus 1 by a primary battery. Further, electric power may be supplied to the control board 10 by the above-described Peltier effect by the temperature adjusting unit 12, driving of the Stirling engine, power generation by adding heat from the outside, power generation by a chemical fuel cell or the like.

In the first to fourth embodiments of the present invention described above, the features of the present invention have been described focusing on the main configuration. However, the combination of the structures of the functional units in these embodiments is arbitrary. That is, any one of the configurations of the first to fourth embodiments, a configuration in any combination, or a configuration including all the components and functional units may be used.
Moreover, the pillow apparatus 1 and the terminal 2 may further include a functional unit that is not described in the first to fourth embodiments.

  In addition, the configuration and operation of the above embodiment are examples, and it is needless to say that the configuration and operation can be appropriately changed and executed without departing from the gist of the present invention.

1, 1a, 1b, 1c, 1d Pillow device, 2, 2a, 2b, 2d terminal 10, 10a, 10b, 10c, 10d, 10a Control board, 11 Secondary battery, 12 Temperature adjustment unit, 13 Gel sheet, 14 Heat dissipation Member, 15 housing, 100, 100a, 100b, 101b, 100c, 100d control unit, 110 environmental sleep calculation unit, 120 temperature calculation unit, 130 learning unit, 140 signal transmission unit, 150 signal reception unit, 160 temperature transmission unit, 170 temperature receiving unit, 200 application executing unit, 300, 300a, 300b, 300c sensor group, 310 temperature sensor, 320 humidity sensor, 330 acceleration sensor, 340 brain wave sensor, 400, 400a, 400b, 401b, 400c, 400d storage unit, 410 Ambient environment, 420 Sleepiness level, 430 Awakening tendency data, 4 40 non-wake temperature, 450 sensor data, 460 IoT middleware, 500, 501 communication unit, 600 input unit, 700 display unit, X, Xa, Xb, Xc, Xd Pillow adjustment system

Claims (6)

An environmental sleep calculation unit (110) that detects the surrounding environment (410) and calculates the user's sleep level (420) based on signals from the sensor group (300) that detects the surroundings and the user's state;
Arousal tendency, which is data of arousal tendency indicating a relationship between the ambient environment (410) and the degree of sleep (420) and a non-awake temperature (440) that is a temperature for adjusting the arousal of the user. Based on the data (430), the temperature calculation unit (120) for calculating the non-wake temperature (440) in the ambient environment (410) detected by the environmental sleep calculation unit (110) and the calculated sleep level (420). )When,
A temperature adjustment unit (12) for adjusting the temperature to the non-wake temperature (440) calculated by the temperature calculation unit (120),
The sensor group (300)
Pillow including any combination of the group consisting of temperature sensor (310), humidity sensor (320), acceleration sensor (330), illuminance sensor, sound sensor, pulse wave sensor, myoelectric sensor, breath sensor, brain wave sensor, and camera apparatus. The sensor group (300)
The temperature sensor (310) for detecting temperature;
The humidity sensor (320) for detecting perspiration, and the acceleration sensor (330) for detecting acceleration;
The environmental sleep calculation unit (110)
The ambient environment (410) is detected by the temperature sensor (310) and the humidity sensor (320),
The pillow apparatus according to claim 1, wherein the acceleration sensor (330) detects the user's body movement and calculates the sleep level (420). The temperature calculation unit (120)
The pillow apparatus according to claim 1 or 2, wherein the non-wake temperature (440) associated with the individual user is calculated. The pillow apparatus according to claim 3, further comprising a learning unit (130) that learns the arousal tendency and sets the arousal tendency data (430). A pillow adjustment system comprising a pillow apparatus (1), an information processing apparatus (2) connected to the pillow apparatus (1), and a sensor group (300) for detecting the surroundings and the state of the user,
The pillow apparatus (1)
In response to the signal of the sensor group (300), a temperature receiver that receives from the information processing device (2) a non-awake temperature (440) that is a temperature for adjusting the user to awaken (170),
A temperature adjustment unit (12) for adjusting to the non-wake temperature (440) received by the temperature reception unit (170),
The information processing apparatus (2)
A signal receiver (150) for receiving signals from the sensor group (300);
An environmental sleep calculation unit (110) that detects the ambient environment (410) based on the signal of the sensor group (300) received by the signal reception unit (150) and calculates the sleep level (420) of the user;
By the awakening tendency data (430) which is awakening tendency data indicating the relationship between the ambient environment (410) and the sleepiness level (420) and the non-wakefulness temperature (440), the environmental sleepiness calculating unit (110) A temperature calculation unit (120) for calculating the non-wake temperature (440) in the detected ambient environment (410) and the calculated degree of sleep (420);
A temperature transmitter (160) for transmitting the non-wake temperature (440) calculated by the temperature calculator (120) to the pillow apparatus (1),
The sensor group (300)
Pillow including any combination of the group consisting of temperature sensor (310), humidity sensor (320), acceleration sensor (330), illuminance sensor, sound sensor, pulse wave sensor, myoelectric sensor, breath sensor, brain wave sensor, and camera Adjustment system. A pillow adjustment method executed by the pillow apparatus (1),
By detecting the surrounding environment (410) based on the signals of the sensor group (300) that detects the surroundings and the state of the user, the sleep level of the user (420) is calculated,
Arousal tendency, which is data of arousal tendency indicating a relationship between the ambient environment (410) and the degree of sleep (420) and a non-awake temperature (440) that is a temperature for adjusting the arousal of the user. From the data (430), calculate the non-wake temperature (440) in the detected ambient environment (410) and the calculated sleepiness level (420),
Adjusting the temperature to the calculated non-wake temperature (440);
The sensor group (300)
Pillow including any combination of the group consisting of temperature sensor (310), humidity sensor (320), acceleration sensor (330), illuminance sensor, sound sensor, pulse wave sensor, myoelectric sensor, breath sensor, brain wave sensor, and camera Adjustment method.

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