JP7117221B2 - Sleep suggestion method and sleep suggestion device - Google Patents

Description

The present invention relates to a sleep suggestion method and a sleep suggestion device.

Patent Literature 1 proposes a navigation device that estimates the behavior of a user traveling along a travel route and provides information such as restaurant information, traffic information, and new DVD information based on the estimated user behavior. there is

JP-A-2008-82940

As useful information that can be provided to the passengers of the vehicle that is traveling, information about the bedtime that the passengers can go to bed on the planned route that the vehicle will travel from now on can be considered.
However, since there are unknown external factors (for example, noise at a construction site) along the planned route, it is not always possible to sleep as planned, and the accuracy of estimating the bedtime may decrease.
SUMMARY OF THE INVENTION It is an object of the present invention to improve the accuracy of estimating a bedtime at which a passenger can go to bed while a vehicle travels a planned route.

In a method for suggesting sleep according to an aspect of the present invention, sleep history information of occupants of other vehicles at a point on a planned route that the own vehicle will travel from now on is acquired, and based on the sleep history information, the environment of the point on the planned route is obtained. A sleep suitability indicating the degree to which the vehicle is suitable for sleep is calculated for each point on each planned route, and the sleeping time that the vehicle occupant can sleep while the vehicle is traveling on the planned route is calculated based on the sleep suitability. and proposes the estimated bedtime to the occupant of the own vehicle.

According to the aspect of the present invention, it is possible to improve the accuracy of estimating the bedtime at which the occupant can go to bed while the vehicle travels along the scheduled route.

It is a schematic block diagram of an example of the sleep suggestion system of embodiment of this invention. 1 is a schematic configuration diagram of an example of a sleep suggestion device according to an embodiment of the present invention; FIG. It is a block diagram showing an example of functional composition of a sleep suggestion system of an embodiment of the present invention. FIG. 4 is an explanatory diagram of a first example of a method for determining total sleep time and bedtime start time; FIG. 10 is an explanatory diagram of a second example of a method for determining total sleep time and bedtime start time; FIG. 11 is an explanatory diagram of a third example of a method for determining total sleep time and bedtime start time; FIG. 2 is an explanatory diagram of a first example of a seat position of a vehicle seat; FIG. 7 is an explanatory diagram of a second example of the seat position of the vehicle seat; FIG. 11 is an explanatory diagram of a third example of the seat position of the vehicle seat; FIG. 4 is a flowchart of an example of a sleep suggestion method according to embodiments of the present invention; FIG. FIG. 9 is a flowchart of an example of a bedtime determination process shown in FIG. 8; FIG. FIG. 9 is a flowchart of an example of sleep state estimation function adjustment processing shown in FIG. 8; FIG.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that each drawing is schematic and may differ from the actual one. Further, the embodiments of the present invention shown below are examples of apparatuses and methods for embodying the technical idea of the present invention. are not specific to the following: Various modifications can be made to the technical idea of the present invention within the technical scope defined by the claims.

(Constitution)
Please refer to FIG. The sleep suggestion system 1 of the embodiment includes a sleep suggestion device 14A mounted on the host vehicle 2A, a sleep suggestion device 14B mounted on the other vehicle 2B, and a server device 3. Although one other vehicle 2B is illustrated in FIG. 1, two or more other vehicles 2B may exist.
The sleep proposal device 14A and the sleep proposal device 14B can communicate with the server device 3 via a wireless communication line such as a mobile communication network.

The own vehicle 2A is provided with a navigation device 10A, an in-vehicle sensor 11A, a travel control unit 12A, an actuator 13A, and an interior equipment 15A in addition to the sleep suggestion device 14A. The other vehicle 2B is also provided with a navigation device 10B, an in-vehicle sensor 11B, a travel control unit 12B, an actuator 13B, and an interior device 15B in addition to the sleep suggestion device 14B.
Sleep suggestion device 14A and sleep suggestion device 14B have similar configurations and functions. Further, the vehicle-mounted sensor 11B, the travel control unit 12B, the actuator 13B, and the interior equipment 15B have the same or similar configurations and functions as the navigation device 10A, the vehicle-mounted sensor 11A, the travel control unit 12A, the actuator 13A, and the interior equipment 15A, respectively. have.

The navigation device 10A includes a global positioning system (GNSS) receiver, receives radio waves from a plurality of navigation satellites, and measures the current position of the vehicle 2A. A GNSS receiver may be, for example, a global positioning system (GPS) receiver or the like. The navigation device 10A may measure the current position of the own vehicle 2A by, for example, odometry.

When the passenger operates the navigation device 10A to input the destination, the navigation device 10A uses a method based on graph search theory such as the Dijkstra method or A* to determine the planned route that the vehicle 2A will travel from the current position to the destination. set. The navigation device 10A presents the passenger with route guidance based on the set scheduled route.
In addition, the navigation device 10A outputs the information of the set scheduled route and the current position information of the own vehicle 2A to the travel control unit 12A and the sleep suggestion device 14A.

The in-vehicle sensor 11A detects the surrounding environment of the own vehicle 2A, for example, objects around the own vehicle 2A. The in-vehicle sensor 11A detects the surrounding environment of the own vehicle 2A, such as objects existing around the own vehicle 2A, the relative position between the own vehicle 2A and the object, the distance between the own vehicle 2A and the object, and the direction in which the object exists.
The in-vehicle sensor 11A may include a rangefinder such as a laser range finder (LRF) or radar, or a camera. The camera may be, for example, a stereo camera. The camera may be a monocular camera, or the same object may be photographed from a plurality of viewpoints by the monocular camera, and the distance to the object may be calculated. Also, the distance to the object may be calculated based on the grounding position of the object detected from the captured image. The in-vehicle sensor 11A outputs ambient environment information, which is information about the detected ambient environment, to the travel control unit 12A.

12 A of traveling control parts are electronic control units (ECU:Electronic Control Unit) which perform automatic operation control of 2 A of own vehicles. The travel control unit 12A includes a processor and peripheral components such as a storage device. The processor may be, for example, a CPU (Central Processing Unit) or an MPU (Micro-Processing Unit). The storage device may comprise any one of a semiconductor storage device, a magnetic storage device and an optical storage device. The storage device may include memories such as registers, cache memories, ROMs (Read Only Memories) used as main storages, and RAMs (Random Access Memories).

Note that the running control unit 12A may be realized by a functional logic circuit set in a general-purpose semiconductor integrated circuit. For example, the travel control unit 12A may have a PLD such as an FPGA.
The travel control unit 12A causes the own vehicle 2A to travel the planned route set by the navigation device 10A based on the surrounding environment information input from the in-vehicle sensor 11A and the current position of the own vehicle 2A measured by the navigation device 10A. Generate a running trajectory that
Further, the travel control unit 12A drives the actuator 13A so that the own vehicle 2A travels along the generated travel track, thereby automatically causing the own vehicle 2A to travel.

The actuator 13A operates the steering wheel, the accelerator opening, and the braking device of the own vehicle 2A according to the control signal from the travel control unit 12A, thereby generating the vehicle behavior of the own vehicle 2A. The actuator 13A may include, for example, a steering actuator, an accelerator opening actuator, and a brake control actuator. The steering actuator controls the steering direction and amount of steering of the vehicle 2A. The accelerator opening actuator controls the accelerator opening of the host vehicle 2A. The brake control actuator controls the braking operation of the brake device of the own vehicle 2A.

The sleep suggestion device 14A measures the breathing index and the body movement index of the occupant while the vehicle 2A is running. The sleep proposal device 14A estimates the sleep state of the occupant based on a sleep state estimation function that uses the measured respiratory index and body movement index as variables.
The sleep suggestion device 14A transmits to the server device 3 sleep state information obtained by combining the sleep state of the occupant at each point on the travel route of the own vehicle 2A and the position information of each point where the sleep state is estimated.
Similarly, the sleep suggestion device 14B of the other vehicle 2B also transmits the sleep state information of the occupant of the other vehicle 2B to the server device 3 .

The server device 3 is an information processing device having a database in which sleep state information of the passengers of the own vehicle 2A and the other vehicle 2B is stored. For example, the server device 3 may be a cloud server on the Internet.
The server device 3 includes a processor 16 and peripheral components such as a storage device 17 . Processor 16 may be, for example, a CPU or MPU.

The storage device 17 may comprise any one of a semiconductor storage device, a magnetic storage device, and an optical storage device. The storage device 17 may include memories such as registers, cache memory, and ROM and RAM used as main storage devices. The processor 16 implements the functions of the server device 3 described below by executing computer programs stored in the storage device 17 .

The server device 3 stores the sleep state information of the occupants of a plurality of vehicles such as the own vehicle 2A and the other vehicle 2B in a database, and generates a sleep history that is a history of the sleep state of the occupants of the vehicles traveling at each location. .
The sleep suggestion device 14A acquires from the server device 3 the sleep history information for each point on the scheduled route of the own vehicle 2A. This sleep history information includes a sleep history that is a history of the sleep state of the occupant of the other vehicle 2B who actually traveled the point on the planned route at the point.
Based on the sleep history of each point on the scheduled route, the sleep suggestion device 14A determines the bedtime (for example, the total sleeping time and the start of sleeping time) is estimated and proposed to the crew.

Further, the sleep suggestion device 14A transmits the breathing index and the body movement index while the occupant of the vehicle 2A is awake to the server device 3 as teacher data indicating the breathing index and the body movement index during waking.
The server device 3 uses the received teacher data as teacher data for the awakening stage, performs learning of the sleep state estimation function, and adjusts the coefficient parameters included in the sleep state estimation function. The sleep proposal device 14A updates the coefficient parameter included in the sleep state estimation function used when estimating the sleep state of the occupant of the own vehicle 2A with the coefficient parameter adjusted by the server device 3.

The interior equipment 15A is a vehicle seat, a lighting device, a sound device, and an air conditioner provided in the own vehicle 2A.
The sleep suggestion device 14A assists the awakening of the sleeping passenger by operating the interior equipment 15A. In addition, the sleep suggestion device 14A detects the activity status of the occupant based on the operating state of these devices by the occupant, and determines whether the occupant is awake.
Details of the configurations and operations of the sleep suggestion device 14A and the server device 3 will be described later.

Please refer to FIG. The sleep suggestion device 14A includes a communication device 20, a respiratory index sensor 21, a body movement index sensor 22, an activity sensor 23, a controller 24, and a user interface 25.
The communication device 20 performs wireless communication with the server device 3 via a wireless communication line such as a mobile communication network.

The respiratory index sensor 21 is used to detect a respiratory index representing the respiratory motion state of the occupant (that is, the state of contraction/expansion motion of the chest and/or abdomen accompanying breathing). Measure the displacement. For example, the respiratory index sensor 21 may be a pressure sensor that measures, as a pressure value, displacement of the body surface caused by contraction/expansion of the chest or abdomen associated with respiratory motion of the subject. Also, the respiratory index sensor 21 may be an in-vehicle camera that captures an image of the occupant. The controller 24 may analyze the image of the occupant to calculate the displacement of the body surface and detect the respiratory index.

The body movement index sensor 22 is used to detect a body movement index value representing the body movement state of the occupant (i.e., movement of the body and/or part thereof (change in position/orientation)). Measure the accelerometer value. For example, the body movement index sensor 22 may be an acceleration sensor attached to or in contact with the body of the occupant. Also, the body movement index sensor 22 may be an in-vehicle camera that captures an image of the occupant. The controller 24 may detect the body movement index by calculating the acceleration value by image analysis of the image of the occupant.

The activity sensor 23 is a sensor that detects the activity status of the passenger. The activity sensor 23 may be an in-vehicle camera that captures an image of the occupant, or a pressure sensor that is provided in a vehicle seat or the like and detects the weight shift of the occupant.
The controller 24 is an electronic control unit that estimates the sleeping state of the occupant and proposes bedtime.

Controller 24 includes a processor 26 and peripheral components such as storage device 27 . Processor 26 may be, for example, a CPU or MPU. The storage device 27 may comprise any one of a semiconductor storage device, a magnetic storage device, and an optical storage device. The storage device 27 may include memories such as registers, cache memory, and ROM and RAM used as main storage devices. Processor 26 implements the functions of sleep suggestion device 14A described below by executing a computer program stored in storage device 27 .
Note that the controller 24 may be realized by a functional logic circuit set in a general-purpose semiconductor integrated circuit. For example, controller 24 may comprise a PLD such as an FPGA.

The user interface 25 has an input device 28 , a speaker 29 and a display device 30 .
The input device 28 receives an operation of the sleep suggestion device 14A by the passenger. The input device 28 may be, for example, buttons, dials, sliders, or the like, or may be a touch panel provided on the display device 30 . Also, the input device 28 may be an input terminal (for example, a tablet device) separate from the sleep suggestion device 14A, and may communicate with the controller 24 by wireless or wired communication.

Speaker 29 outputs various audio information provided by sleep suggestion device 14A. For example, the sleep suggestion device 14A may output an audio signal (eg, a voice message, etc.) that suggests a bedtime (eg, total sleep time and bedtime start time) to the occupant via the speaker 29 . In addition, the sleep suggestion device 14A may assist the awakening of the passenger by outputting an audio signal from the speaker 29 .
Display device 30 outputs various visual information provided by sleep suggestion device 14A. For example, the sleep suggestion device 14A may display a visual signal (eg, text message, etc.) on the display device 30 suggesting a bedtime to the occupant.

(Functional configuration of sleep proposal device 14A)
Please refer to FIG. The sleep suggestion device 14A includes a sleep history reception unit 40, a traffic condition reception unit 41, a sleep suitability calculation unit 42, a total sleep time calculation unit 43, a bedtime start time calculation unit 44, and a bedtime presentation unit 45. , a breathing index detection unit 46, a body movement index detection unit 47, a sleep state estimation unit 48, a parameter reception unit 49, a total sleep time estimation unit 50, an awakening support unit 51, a sleep state transmission unit 52, An awake period estimation unit 53 and a teacher data transmission unit 54 are provided.

The sleep history receiving unit 40 receives, from the server device 3, sleep history information for each point on the planned route on which the own vehicle 2A will travel. This sleep history information includes the sleep history of the occupant of the other vehicle 2B who actually traveled the point on the planned route.
The sleep history information is information representing the quality of sleep of the occupants of other vehicles at the time of actual travel to each location. The sleep history information may be, for example, sleep stage (that is, depth of sleep) Lv, percentage of midway awakening Rw, and sleep latency Ls. The sleep history receiving unit 40 requests the server device 3 for the sleep history information of these points by transmitting the position information of each point on the planned route to the server apparatus 3 .

The halfway awakening ratio Rw is the ratio of the number of times the occupant wakes up halfway at the target point to the total number of times other vehicles drive the target point.
The sleep latency is the time from the bedtime start time (that is, the time when the occupant starts preparing for sleep) to the sleep onset time (the time when the sleep stage becomes other than wakefulness for the first time). For example, the sleep latency Ls included in the sleep history information may be an average value of sleep latencies when the target point is traveled from the bedtime start time to the sleep onset time.

The traffic condition receiving unit 41 receives from the server device 3 the traffic condition information regarding the traffic conditions at points on the planned route on which the vehicle 2A will travel.
Traffic conditions include steady traffic conditions and non-steady traffic conditions. Regular traffic conditions may be, for example, road shape, presence/absence of shops, and presence/absence of traffic lights. Unsteady traffic conditions may be, for example, traffic jams, construction work, accidents, business conditions of stores, scenery, environment, and weather.

Based on the sleep history and traffic conditions at each point on the planned route, the sleep suitability calculation unit 42 calculates the sleep suitability Ss, which indicates the degree to which the environment at each point is suitable for the occupant's sleep, for each of these points. Calculate about
For example, the sleep suitability calculation unit 42 determines a traffic condition variable Tv that indicates the extent to which the traffic condition at each point adversely affects sleep based on the traffic condition information. For example, the traffic condition variable Tv is set to a larger value as the adverse effect on sleep is greater. For example, road shapes that cause sudden vehicle behavior, construction, beautiful scenery, and bad weather are traffic conditions that have a large adverse effect on sleep. On the other hand, traffic conditions such as road shapes and traffic jams that cause sluggish vehicle behavior have little adverse effect on sleep.

The sleep suitability calculator 42 calculates the weighted sum of the sleep history and the traffic situation variable Tv as the sleep suitability Ss. Here, the deeper the sleep stage Lv (that is, the deeper the sleep), the more suitable the target point is for sleep. Therefore, the sleep suitability calculator 42 calculates a larger sleep suitability Ss as the sleep stage Lv is deeper.
Also, it is considered that the higher the midway awakening ratio Rw, the less suitable the target point is for sleep. Therefore, the sleep suitability calculator 42 calculates a smaller sleep suitability Ss as the midway awakening ratio Rw increases.

Also, it is considered that the longer the sleep latency Ls is, the more difficult it is to fall asleep and the target point is not suitable for sleep. Therefore, the sleep suitability calculator 42 calculates a smaller sleep suitability Ss as the sleep latency Ls increases. For example, the sleep suitability calculator 42 may calculate the sleep suitability Ss according to the following equation.
Ss=c1×Lv-c2×Rw-c3×Ls-c4×Tv
However, c1, c2, c3 and c4 are positive constants.

Based on the sleep suitability Ss at each point on the planned route, the total sleep time calculation unit 43 determines that the occupant Calculate the total sleep time in which a can sleep.
Specifically, the total sleep time calculation unit 43 determines a sleep-suitable section in which the sleep suitability Ss is equal to or greater than a predetermined threshold and a sleep-unsuitable section in which the sleep suitability Ss is less than or equal to a predetermined threshold.

The total sleep time calculator 43 determines a sleep-suitable period in which the vehicle 2A is expected to travel in the sleep-suitable section and a sleep-unsuitable period in which it is expected to travel in the sleep-unsuitable section. The total sleep time calculation unit 43 calculates the total sleep time according to the length of the sleep suitable period.
Please refer to FIGS. 4A and 4B. For example, the total sleep time calculation unit 43 may calculate the time (T1 + T2 + T4) obtained by subtracting the sleep latency specific to the occupant from the total sleep suitable period from the current time to the expected arrival time as the total sleep time.

Please refer to FIG. For example, the total sleep time calculation unit 43 may calculate the total sleep time based on a sleep stage pattern 70 that is a sleep stage transition tendency specific to the passenger.
For example, when the occupant is in a deep sleep stage, the occupant feels uncomfortable when awakened by traveling in a sleep-unsuitable segment. Therefore, based on the sleep stage pattern 70, the total sleep time calculation unit 43 estimates the sleep onset time so that the sleep stage of the sleep unsuitable period is REM sleep (for example, the sleep unsuitable period starts during REM sleep). Then, the length from the sleep onset time to the start time of the sleep unsuitable period is calculated as the total sleep time.

The total sleep time calculator 43 may calculate the total sleep time based on the sleep cycle unique to the passenger. It is the length of sleep units between non-REM sleep and subsequent REM sleep. Based on the sleep cycle, the total sleep time calculation unit 43 estimates the sleep onset time so that the sleep stage of the sleep unsuitable period is REM sleep (for example, so that the sleep unsuitable period starts during REM sleep), and sleep onset. The length from the time to the start time of the sleep unsuitable period may be calculated as the total sleep time.

Please refer to FIG. The bedtime start time calculator 44 calculates the bedtime start time based on the sleep suitability Ss at each point on the planned route.
In the example of FIG. 4A, since the current time is included in the sleep-adapted period, the sleep start time calculator 44 may determine the current time as the sleep start time. In the example of FIG. 4B, since the current time is included in the sleep unsuitable period, the end time of the sleep unsuitable period, that is, the start time of the sleep suitable period following this sleep unsuitable period may be calculated as the bedtime start time.

Please refer to FIG. The bedtime start time calculator 44 may calculate the bedtime start time based on the sleep stage pattern 70 . The bedtime start time calculation unit 44 is based on the sleep stage pattern 70, so that the sleep stage of the sleep unsuitable period becomes REM sleep (for example, the sleep unsuitable period starts during REM sleep) Estimate the sleep onset time, A time that is earlier than the falling asleep time by the sleep latency unique to the passenger may be calculated as the bedtime start time. That is, the bedtime start time calculation unit 44 calculates the bedtime start time based on the sleep latency characteristics specific to the occupant.

The bedtime start time calculator 44 may calculate the bedtime start time based on the sleep cycle. The sleep start time calculation unit 44 estimates the sleep onset time so that the sleep stage of the sleep unsuitable period becomes REM sleep (for example, so that the sleep unsuitable period starts during REM sleep) based on the sleep cycle, and this sleep onset time is estimated. A time that is earlier than the time by the sleep latency unique to the passenger may be calculated as the bedtime start time.

Please refer to FIG. The bedtime presentation unit 45 displays the total sleep time calculated by the total sleep time calculation unit 43 and the bedtime start time calculated by the bedtime start time calculation unit 44 so that the occupant can actually go to bed between the current position and the destination. It is output from the speaker 29 or the display device 30 as bedtime.
The bedtime presentation unit 45 changes the mode of the seat position of the vehicle seat in which the occupant sits when the bedtime start time calculated by the bedtime start time calculation unit 44 arrives, so that the bedtime start time for the occupant has arrived. You may want to let them know and encourage them to go to bed.

Please refer to FIGS. 6A-6C. The vehicle seat 80 includes a seat cushion 80a that serves as a seat on which a passenger sits, a seat back 80b that serves as a backrest, a headrest 80c, an armrest 80d on which the passenger's forearms are placed, and an ottoman 80e on which the passenger's legs are placed. Prepare. Reference numeral 81 designates the steering wheel and reference numeral 82 designates the dashboard.

In the description of the specification of the present application, the "seat position" of the vehicle seat 80 means the front and rear positions of the vehicle seat 80 (for example, the front and rear positions of the seat cushion 80a), and the upper and lower positions of the vehicle seat 80 (for example, the seat cushion 80a). ), the reclining angle of the seat back 80b, the backward inclination angle of the headrest 80c, the position of the armrest 80d, and the position of the ottoman 80e.

As modes of the seat position of the vehicle seat 80 during automatic driving, for example, an "active mode" in which some activity other than driving is performed, a "relax mode" in which the activity is relaxed without performing any activity, and a vehicle seat. Assume a "sleep mode" lying on your back or lying down.
In the relax mode shown in FIG. 6B, the seat cushion 80a is retracted rearward and the rearward inclination angle of the seat back 80b is larger than in the active mode shown in FIG. 6A. Also, the ottoman 80e is raised so that the passenger can put their feet on it.

In the sleep mode shown in FIG. 6C, the seat back 80b is tilted further rearward so that the seat cushion 80a and the seat back 80b are substantially flat, providing a seat position suitable for sleeping of the occupant.
When the bedtime start time arrives, the bedtime presentation unit 45 notifies the occupant that the bedtime start time has arrived by, for example, changing the seat position of the vehicle seat 80 from the active mode or the relax mode to the sleep mode. You can also encourage them to go to bed.

Please refer to FIG. The respiratory index detection unit 46 detects a respiratory index based on the measurement result of the respiratory index sensor 21 and generates time-series data of the respiratory index.
The body movement index detection unit 47 detects a body movement index based on the measurement result of the body movement index sensor 22 and generates time-series data of the body movement index.
At this time, the body movement index detection unit 47 may detect the seat angle of the vehicle seat 80 on which the passenger sits (for example, the reclining angle of the seat back 80b and the inclination angle of the seat cushion 80a). The body movement index detector 47 may correct the detected body movement index according to the seat angle of the vehicle seat. For example, when the reclining angle is small, the body movement of the occupant tends to increase, so in such a case, the body movement index may be reduced.

When the bedtime presentation unit 45 presents the bedtime to the occupant, the sleep state estimation unit 48 extracts the respiratory state feature amount from the time series data of the respiratory index, and extracts the body movement feature amount from the time series data of the body movement index. Extract. The sleep state estimator 48 extracts a statistic for each predetermined time interval (epoch) in the time-series data of the respiratory index as a respiratory state feature. In addition, the sleep state estimation unit 48 extracts the statistic amount for each epoch in the time-series data of the body movement index as the body movement feature amount.

As a specific example, the sleep state estimating unit 48 uses the four feature values “average breathing rate”, “breathing variation coefficient”, “amplitude oscillation coefficient” and “self Correlation peak ratio” is calculated.
In addition, the sleep state estimation unit 48 calculates the maximum value within the epoch of the “acceleration difference norm” described in Japanese Patent Application Laid-Open No. 2017-169884 as the body motion feature amount.
The sleep state estimator 48 normalizes the respiratory motion feature amount and the body motion feature amount to remove individual differences and intra-individual differences in these feature amounts. For example, the sleep state estimating unit 48 subtracts the median values of the respiratory motion feature quantity and body motion feature quantity of all epochs from the respiratory motion feature quantity and body motion feature quantity of each epoch, respectively. Normalize the features.

Next, the sleep state estimator 48 calculates the occurrence probability of each sleep stage based on the sleep state estimation function using the respiratory state feature amount and the body movement feature amount as variables. A sleep state estimation function may be defined as follows, for example.
First, the following feature amount vector X is defined by the respiratory motion feature amount and the body motion feature amount.
X = (x1, x2, x3, x4, x5)

xi (i = 1 to 5) represents the respiratory motion feature amount and the body motion feature amount, and in this embodiment, x1 is the average respiratory rate, x2 is the respiratory variation coefficient, and x3 is the amplitude oscillation coefficient. , x4 is the autocorrelation peak ratio, and x5 is the maximum value of the acceleration difference norm.
We also define the sleep stages (classes) to be determined as yε{Wake, REM, Light, Deep}. Wake is the wake stage, REM is the REM sleep stage, Light is light non-REM sleep, and Deep is deep non-REM sleep.

Here, when there are N training data groups Xtn (n = 1 to N) (n is the sign of the data point), the appearance probability of each sleep stage y when the feature vector X is obtained p(y/X), the sleep state estimation function, is given by the following equation according to the least-squares probabilistic classifier.
p(y/X)=[max(0,q( _y |X:θy))]/Σ[max(0,q(ya|X: _θya ))]

where ya is the sign of each sleep stage and Σ is the sum over ya = sleep stage. Note that the appearance probability p(y/X) corresponds to the posterior probability that the sleep stage y appears when the feature vector is X. q (y | X: θ _y ) is the position of each point of the teacher data that is the sleep stage y and the position of the feature vector X in the space (feature space) where the feature vector is spanned It corresponds to the sum of values representing the degree of approximation of the state depending on the distance, and is specifically expressed by the following equation.
q(y|X:θ _y )=Σθy,n·φn(X)

Σ is the sum of teacher data for n=1 to N. θy,n·φn(X) is a function (distribution function) representing a value representing the distribution of the degree of approximation between the point of the feature vector X and the point Xtn of the teacher data.
φn(X) is defined by φn(X)=exp(−Ln ² /2σ ² ) using the distance Ln between the point of the feature vector X in the feature space and the point Xtn of the training data. θy,n is the coefficient parameter that determines the height of the distribution function, and σ is the parameter that determines the width of the distribution function.

These parameters θy, n, σ are adjusted by the server device 3 and received by the parameter reception unit 49 .
The sleep state estimation unit 48 estimates the sleep stage with the highest occurrence probability as the sleep stage (that is, sleep state) of the occupant among the sleep stages whose occurrence probabilities are calculated based on the sleep state estimation function.

Based on the sleep state estimated by the sleep state estimation unit 48, the total sleep time estimation unit 50 estimates the total sleep time that the occupant actually slept from when the bedtime presentation unit 45 presented the bedtime to the current time. do.
The awakening support unit 51 determines whether or not the total sleep time of the occupant has reached the total sleep time presented by the bedtime presentation unit 45, that is, whether or not the total sleep time presented by the bedtime presentation unit 45 has expired. to decide. When the total sleep time expires, the awakening support unit 51 supports the awakening of the passenger.

For example, the awakening assistance unit 51 may assist the awakening of the passenger by changing the mode of the seat position of the vehicle seat 80 on which the passenger sits. The bedtime presenting unit 45 may assist the awakening of the occupant by, for example, changing the seat position of the vehicle seat 80 from the sleep mode to the active mode or the relax mode when the total sleeping time expires.
Further, for example, the awakening assistance unit 51 may assist the awakening of the passenger by operating the interior equipment 15A of the own vehicle 2A.

While the own vehicle 2A is traveling on the scheduled route, the sleep state transmission unit 52 transmits the sleep stage estimated by the sleep state estimation unit 48 at the current point, whether or not the sleep state was awakened at the current point, and the current sleep latency. Sleep state information is generated by combining the information on whether the point has been passed and the position information of the current point. The sleep state transmission unit 52 transmits sleep state information to the server device 3 . As a result, the sleep state information transmitted by the vehicle 2A can be used by the sleep suggestion device 14B of the other vehicle 2B.

The awakening period estimator 53 detects the activity status of the occupant of the own vehicle 2A. The awakening period estimator 53 may detect the activity status of the occupant of the own vehicle 2A based on the detection result of the activity sensor 23, for example. Further, the awakening period estimation unit 53 may detect the activity status of the occupant according to the operating state of the interior equipment 15A and the input device 28, for example. The awakening period estimator 53 may detect the operating state of the interior equipment 15A and the input device 28 based on the state signals of the interior equipment 15A and the input device 28 and the image of the in-vehicle camera.
The wakefulness period estimator 53 estimates the wakefulness period of the occupant according to the detected activity status of the occupant. For example, it may be estimated that sleep of the occupant has started when the operation interval of the interior device 15A or the input device 28 by the occupant is longer than or equal to a predetermined period.

Moreover, when the passenger operates the interior device 15A or the input device 28, it may be estimated that the passenger's sleep has ended.
The awakening period estimator 53 may estimate the awakening period according to the mode change of the seat position of the vehicle seat 80 by the occupant. For example, it may be estimated that sleep of the occupant has started when the sleep latency has elapsed after the seat position of the vehicle seat 80 was changed to the sleep mode. Further, it may be estimated that the occupant's sleep has ended when the seat position of the vehicle seat 80 is changed from the sleep mode to another mode.

The teacher data transmission unit 54 transmits the respiratory index and the body movement index while the occupant of the vehicle 2A is awake to the server device 3 as teacher data indicating the breathing index and the body movement index in the wakeful stage. These awakening stage training data are used by the server device 3 to learn the sleep state estimation function. As a result, erroneous determination that the driver is asleep based on the respiratory index and body movement index during wakefulness is suppressed, and the total sleeping time can be estimated appropriately.
The teacher data transmission unit 54 may transmit the seat angle of the vehicle seat while the occupant of the own vehicle 2A is awake to the server device 3 together with the teacher data.

Note that the teacher data transmission unit 54 may encourage the occupant to be in an awake state by proposing the use of content to the occupant of the own vehicle 2A, and promote the detection of the respiratory index and body movement index during the awake period. good. As an example of the use of the content, the teacher data transmission unit 54 may suggest the reproduction of music content by an audio device or the reproduction of video content on the display device provided in the navigation device 10A.

(Functional configuration of server device 3)
Next, the functional configuration of the server device 3 will be described. The server device 3 includes a sleep state reception unit 60, a sleep history search unit 61, a sleep history transmission unit 62, a traffic condition transmission unit 63, a teacher data reception unit 64, a sleep state estimation function adjustment unit 65, a parameter A transmission unit 66 , a sleep history database 67 , and a teacher data group storage unit 68 are provided. In addition, a database is described with "DB" in drawing.

The sleep state reception unit 60 stores the sleep state information transmitted from the sleep proposal device 14A or the sleep proposal device 14B in the sleep history database 67. FIG.
When the sleep suggestion device 14A transmits the position information and requests the sleep history information, the sleep history search unit 61 reads out the sleep history information of this point from the sleep history database 67 . The sleep history transmission unit 62 transmits the sleep history information read by the sleep history search unit 61 to the sleep suggestion device 14A.
If the sleep state information of the occupant of the other vehicle 2B included in the sleep history information is too old, the state may have already changed when the own vehicle 2A travels to that point. Therefore, if the period of the history of the sleep history information is too long, the sleep adaptability S cannot be calculated with high accuracy. On the other hand, if the effective period of the sleep state information that can be included in the sleep history information is too short, the information amount of the sleep history information becomes insufficient, and the sleep suitability S cannot be calculated with high accuracy. Therefore, the period of history of sleep history information is set to an appropriate length (for example, about 5 to 10 days).

In addition, when the sleep suggestion device 14A transmits the position information and requests sleep history information, the traffic condition transmission unit 63 acquires the traffic condition information of this point from the map information and the intelligent transportation system (ITS), and sleeps. It transmits to proposal device 14A.
The teacher data receiving unit 64 receives the respiratory index and the body movement index while the occupant is awake from the sleep proposal device 14A and the sleep proposal device 14B as teacher data indicating the breathing index and the body movement index during wakefulness. .

The teacher data receiving unit 64 stores the received teacher data in the teacher data group storage unit 68 as the awakening stage teacher data.
In the teacher data group storage unit 68, each sleep stage determined using polysomnography (that is, wake stage (Wake), REM sleep stage (REM), light non-REM sleep (Light), deep non-REM sleep (Deep) ) are stored as teacher data for each sleep stage.

The teacher data received from the host vehicle 2A and the other vehicle 2B are added to the teacher data group storage unit 68 as teacher data in the awakening stage.
The teacher data receiving unit 64 may receive the seat angle of the vehicle seat while the passenger is awake from the sleep suggestion device 14A or the sleep suggestion device 14B together with the teacher data. The teacher data receiving unit 64 may correct the received body movement index according to the seat angle of the vehicle seat.

The sleep state estimation function adjustment unit 65 adjusts the coefficient parameters θy,n, Adjust σ. For example, the sleep state estimation function adjusting unit 65 may learn the sleep state estimation function according to the least-squares probabilistic classifier theory.
The parameter transmission unit 66 transmits the coefficient parameters θy, n, σ of the sleep state estimation function adjusted by the sleep state estimation function adjustment unit 65 to the sleep proposal device 14A and the sleep proposal device 14B. The parameter receiver 49 receives the coefficient parameters θy, n, σ transmitted from the parameter transmitter 66 . The coefficient parameters θy, n, σ received by the parameter receiver 49 are used for the sleep state estimation function of the sleep state estimator 48 .

(Sleep suggestion method)
Next, a sleep suggestion method according to the present embodiment will be described with reference to FIGS. 7, 8 and 9. FIG.
In step S1, the sleep suggestion device 14A determines whether or not the driving mode of the host vehicle 2A is the automatic driving mode. If the driving mode of the own vehicle 2A is the automatic driving mode (step S1: Y), the process proceeds to step S2. If the driving mode of the own vehicle 2A is not the automatic driving mode (step S1: N), the process proceeds to step S14.

In step S2, the sleep suggestion device 14A determines whether or not the occupant of the own vehicle 2A wishes to sleep while the vehicle is running. For example, it may be determined whether or not the passenger wishes to sleep according to the operation of the input device 28 by the passenger. If sleep is desired (step S2: Y), the process proceeds to step S3. If sleep is not desired (step S2: N), the process proceeds to step S13.

In step S3, the sleep suggestion device 14A executes a bedtime determination process for determining a bedtime to be proposed to the occupant. The bedtime determination process will be described with reference to FIG.
In step S<b>20 , the sleep history receiving unit 40 receives from the server device 3 sleep history information for each point on the planned route on which the vehicle 2</b>A will travel.
In step S21, the traffic condition receiving unit 41 receives from the server device 3 the traffic condition information of a point on the planned route on which the own vehicle 2A will travel.

In step S22, based on the sleep history and traffic conditions at each point on the planned route, the sleep suitability calculation unit 42 calculates the sleep suitability Ss, which indicates the degree to which the environment at each point is suitable for the occupant's sleep. Calculate for each of the points.
In step S23, the total sleep time calculation unit 43 calculates the total sleep time that the occupant can sleep between the current position and the destination based on the sleep suitability Ss at each point on the planned route. Further, the bedtime start time calculator 44 calculates the bedtime start time based on the sleep suitability Ss at each point on the planned route.

In step S24, the bedtime presentation unit 45 outputs the total sleep time calculated by the total sleep time calculation unit 43 and the bedtime start time calculated by the bedtime start time calculation unit 44 from the speaker 29 or the display device 30 to the passenger. Present. After that, the bedtime determination process ends.
Please refer to FIG. In step S4, the bedtime presentation unit 45 determines whether or not the bedtime start time calculated by the bedtime start time calculation unit 44 has arrived. When it is time to start going to bed (step S4: Y), the process proceeds to step S5. If the bedtime start time does not come (step S4: N), the process returns to step S4.

In step S5, the bed time presenting unit 45 changes the mode of the seat position of the vehicle seat 80 on which the passenger sits to the sleep mode, thereby notifying the passenger that it is time to start sleeping and prompting the passenger to go to bed.
In step S<b>6 , the respiratory index detector 46 detects the respiratory index based on the measurement result of the respiratory index sensor 21 . Also, the body movement index detection unit 47 detects the body movement index based on the measurement result of the body movement index sensor 22 . The body movement index detector 47 detects the seat angle of the vehicle seat 80 and corrects the body movement index.

In step S7, the sleep state estimator 48 estimates the sleep state of the occupant based on the sleep state estimation function using the time series data of the respiratory index and the time series data of the body movement index as variables.
In step S8, the sleep state transmission unit 52 combines the sleep stage estimated at the current point, information on whether or not the current point was awakened at the current point, and information on whether or not the sleep latency passed the current point, and position information on the current point. to generate sleep state information. The sleep state transmission unit 52 transmits sleep state information to the server device 3 .
In step S<b>9 , the sleep state reception unit 60 of the server device 3 stores the sleep information transmitted by the sleep state transmission unit 52 in the sleep history database 67 .

In step S10, based on the sleep state estimated by the sleep state estimation unit 48, the total sleep time estimation unit 50 calculates the total sleep that the occupant actually slept from when the bedtime presentation unit 45 presented the bedtime until the current time. Estimate time.
In step S<b>11 , the awakening support unit 51 determines whether or not the total sleep time of the occupant has reached the total sleep time presented by the bedtime presentation unit 45 . When the total sleep time of the crew member reaches the total sleep time presented by the bedtime presentation unit 45 (step S11: Y), the process proceeds to step S12. If the total sleep time of the occupant does not reach the total sleep time presented by the bedtime presentation unit 45 (step S11: N), the process returns to step S6.

In step S12, the awakening assistance unit 51 assists the awakening of the passenger.
In step S13, the sleep proposal device 14A and the server device 3 execute sleep state estimation function adjustment processing for adjusting the sleep state estimation function used for estimating the sleep state of the occupant. The sleep state estimation function adjustment processing will be described with reference to FIG.
In step S30, the awakening period estimator 53 detects the activity status of the occupant of the own vehicle 2A.

In step S31, the awakening period estimator 53 determines whether or not the occupant is awakening. If the occupant is awake (step S31: Y), the process proceeds to step S32. If the occupant is not awake (step S31: N), subsequent processing is stopped and the sleep state estimation function adjustment processing ends.
In step S<b>32 , the respiratory index detector 46 detects the respiratory index based on the measurement result of the respiratory index sensor 21 . Also, the body movement index detection unit 47 detects the body movement index based on the measurement result of the body movement index sensor 22 . The body movement index detection section 47 detects the seat angle of the vehicle seat 80 .

In step S33, the teacher data transmission unit 54 transmits the respiratory index and the body movement index while the occupant of the vehicle 2A is awake to the server device 3 as teacher data of the awakening stage. Further, the teacher data transmission unit 54 transmits the seat angle of the vehicle seat while the occupant of the own vehicle 2A is awake to the server device 3 together with the teacher data.
The teacher data receiver 64 of the server device 3 receives the teacher data and the seat angle transmitted by the teacher data transmitter 54 .

In step S34, the teacher data receiving unit 64 corrects the received body movement index according to the seat angle of the vehicle seat. The teacher data receiving unit 64 stores the received respiratory index and the corrected body movement index in the teacher data group storage unit 68 as teacher data for the awakening stage.
In step S35, the sleep state estimation function adjustment unit 65 performs a learning process using the respiratory index and body movement index of each sleep stage stored in the teacher data group storage unit 68 as teacher data, and calculates the coefficient parameter θy of the sleep state estimation function. , n, σ.

In step S36, the parameter transmission unit 66 transmits the coefficient parameters θy, n, σ of the sleep state estimation function adjusted by the sleep state estimation function adjustment unit 65 to the sleep proposal device 14A and the sleep proposal device 14B. The parameter receiver 49 receives the coefficient parameters θy, n, σ transmitted from the parameter transmitter 66 . After that, the sleep state estimation function adjustment processing ends.
Please refer to FIG.
In step S14, the sleep suggestion device 14A determines whether or not the ignition switch (IGN) of the own vehicle 2A has been turned off. If the ignition switch is not turned off (step S14: N), the process returns to step S1. If the ignition switch is turned off (step S14: Y), the process ends.

(Effect of Embodiment)
(1) The sleep history receiving unit 40 acquires the sleep history information of the occupants of other vehicles at points on the scheduled route on which the own vehicle 2A will travel. The sleep suitability calculator 42 calculates, for each point on each planned route, a sleep suitability Ss indicating the degree to which the environment at the point on the planned route is suitable for sleep, based on the sleep history information. The total sleep time calculation unit 43 and the bedtime start time calculation unit 44 estimate the sleep time during which the occupant of the vehicle 2A can go to bed while the vehicle 2A travels on the planned route based on the sleep suitability Ss. The bedtime presenting unit 45 proposes the estimated bedtime to the occupant of the own vehicle 2A.

As a result, it is possible to estimate the bedtime by considering whether the environment at the point on the planned route where the vehicle 2A is to travel is suitable for sleep, and thus the accuracy of the estimation decreases due to unknown external factors on the planned route. can be prevented. Therefore, the accuracy of estimating the sleeping time at which the occupant can go to bed while the host vehicle travels the planned route is improved.

(2) The traffic condition receiving unit 41 acquires traffic condition information about traffic conditions at points on the planned route. The sleep suitability calculator 42 calculates the sleep suitability Ss based on the traffic condition information.
As a result, it is possible to estimate the bedtime by considering whether the road conditions at the point on the planned route where the vehicle 2A is to travel are suitable for sleeping, so that the accuracy of estimation due to unknown external factors on the planned route can be reduced. You can prevent the decline. Therefore, the accuracy of estimating the sleeping time at which the occupant can go to bed while the host vehicle travels the planned route is improved.

(3) The total sleep time calculation unit 43 and the sleep start time calculation unit 44 determine the sleep start time and total sleep time of the occupant of the vehicle 2A based on the sleep suitability and the sleep cycle of the occupant of the vehicle 2A. .
This allows the occupant to arbitrarily set a point through which they pass when they are in a particular sleep stage. For example, when the occupant is in a light sleep stage, the vehicle travels in a sleep unsuitable section where the sleep suitability Ss is small, so that the occupant can be awakened when the occupant is in a light sleep stage. This prevents the occupant from feeling discomfort due to awakening of the occupant while the occupant is in a deep sleep stage.

(4) The total sleep time calculation unit 43 and the sleep start time calculation unit 44 calculate the sleep start time and the total sleep time of the occupant of the vehicle 2A based on the sleep suitability and the sleep stage transition tendency of the occupant of the vehicle 2A. to decide.
This allows the occupant to arbitrarily set a point through which they pass when they are in a particular sleep stage. For example, when the occupant is in a light sleep stage, the vehicle travels in a sleep unsuitable section where the sleep suitability Ss is small, so that the occupant can be awakened when the occupant is in a light sleep stage. This prevents the occupant from feeling discomfort due to awakening of the occupant while the occupant is in a deep sleep stage.

(5) The sleep start time calculation unit 44 estimates the sleep onset time of the occupant of the own vehicle 2A based on the sleep suitability, and calculates the sleep onset time of the own vehicle 2A based on the sleep onset time and the sleep latency characteristics of the occupant of the own vehicle 2A. Determine when the occupants will start going to bed.
As a result, it is possible to propose a bedtime start time that takes into account the sleep latency characteristics of the occupant.

(6) The respiratory index detector 46 and the body movement index detector 47 detect the respiratory index and the body movement index of the occupant of the own vehicle 2A. The sleep state estimator 48 estimates the sleep state of the occupant of the own vehicle 2A based on the detected respiratory index and body movement index. The total sleep time estimator 50 calculates the total sleep time of the occupant of the own vehicle 2A based on the estimated sleep state.
This makes it possible to estimate the total sleep time that the occupant of the own vehicle 2A actually slept.

(7) The awakening support unit 51 determines whether or not the total sleep time has reached a predetermined length, and performs awakening support for the occupant of the own vehicle 2A when the total sleep time has reached the predetermined length. .
As a result, the occupant of the own vehicle 2A can be woken up when the total sleep time actually slept by the occupant reaches the proposed total sleep time.

(8) The awakening support unit 51 performs awakening support by changing the seat position of the seat on which the passenger of the vehicle 2A sits.
As a result, the occupant of the own vehicle 2A can be easily awakened from sleep.

(9) The respiratory index detector 46 and the body movement index detector 47 detect the respiratory index and body movement index of the occupant of the vehicle 2A. The awakening period estimator 53 detects the activity status of the occupant of the vehicle 2A, and estimates the awakening period of the occupant of the vehicle 2A based on the detected activity status. The teacher data transmission unit 54 transmits the respiratory index and body movement index detected during the estimated wakefulness period to the server device 3 . The server device 3 adjusts the parameters of the sleep state estimation function by learning processing using the breathing index and the body movement index as teacher data. The parameter reception unit 49 receives the adjusted parameters from the server device 3 .
As a result, erroneous determination that the driver is asleep based on the respiratory index and body movement index during wakefulness is suppressed, and the total sleeping time can be estimated appropriately.

(10) The teacher data transmission unit 54 prompts the occupant of the own vehicle 2A to detect the breathing index and the body movement index during the waking period by proposing the use of the content. This makes it easier to collect teacher data in the wakefulness stage for adjusting the parameters of the sleep state estimation function.

DESCRIPTION OF SYMBOLS 1... Sleep proposal system, 2A... own vehicle, 2B... other vehicle, 3... server apparatus, 10A, 10B... navigation apparatus, 11A, 11B... vehicle-mounted sensor, 12A, 12B... driving control part, 13A, 13B... actuator, 14A , 14B... Sleep suggestion device, 15A, 15B... Interior equipment, 16... Processor, 17... Storage device, 20... Communication device, 21... Breathing index sensor, 22... Body movement index sensor, 23... Activity sensor, 24... Controller, 25 User interface 26 Processor 27 Storage device 28 Input device 29 Speaker 30 Display device 40 Sleep history receiver 41 Traffic condition receiver 42 Sleep suitability calculator 43 Total sleep time calculation unit 44 Sleep start time calculation unit 45 Bedtime presentation unit 46 Respiration index detection unit 47 Body movement index detection unit 48 Sleep state estimation unit 49 Parameter reception unit , 50 ... total sleep time estimation unit, 51 ... awakening support unit, 52 ... sleep state transmission unit, 53 ... awakening period estimation unit, 54 ... teacher data transmission unit, 60 ... sleep state reception unit, 61 ... sleep history search unit, 62... Sleep history transmitter, 63... Traffic situation transmitter, 64... Teacher data receiver, 65... Sleep state estimation function adjuster, 66... Parameter transmitter, 67... Sleep history database, 68... Teacher data group storage unit

Claims (11)

A process of acquiring sleep history information of the occupants of other vehicles at a point on the scheduled route on which the own vehicle will travel from now on;
A process of calculating, for each point on each planned route, a sleep suitability indicating the degree to which the environment of the point on the planned route is suitable for sleep, based on the sleep history information;
Based on the sleep suitability, a process of estimating a bedtime at which the occupant of the vehicle can go to bed while the vehicle travels on the planned route;
a process of proposing the estimated bedtime to the occupant of the own vehicle;
A method for suggesting sleep, wherein the controller executes: a process of acquiring traffic condition information about traffic conditions at points on the scheduled route;
A process of calculating the sleep suitability based on the traffic situation information;
2. The sleep suggestion method of claim 1, wherein the controller performs: 3. The controller executes a process of estimating at least one of a sleep start time and a total sleeping time of the occupant of the vehicle based on the sleep suitability and the sleep cycle of the occupant of the vehicle. 3. The sleep suggestion method according to 1 or 2. The controller executes a process of estimating at least one of a sleep start time and a total sleep time of the occupant of the own vehicle based on the sleep suitability and the sleep stage transition tendency of the occupant of the own vehicle. The sleep suggestion method according to claim 1 or 2. A process of estimating the sleep onset time of the vehicle occupant based on the sleep suitability, and estimating the bedtime start time of the vehicle occupant based on the sleep onset time and the sleep latency characteristics of the vehicle occupant. The method for suggesting sleep according to any one of claims 1 to 4, characterized in that the controller executes: a process of detecting a respiratory index and a body movement index of the occupant of the own vehicle;
a process of estimating a sleep state of the occupant of the own vehicle based on the detected respiratory index and the detected body movement index;
A process of calculating the total sleeping time of the occupant of the own vehicle based on the estimated sleeping state;
The method for suggesting sleep according to any one of claims 1 to 5, wherein the controller executes: A process of determining whether the total sleep time has reached a predetermined length;
A process of assisting the awakening of the occupant of the own vehicle when the total sleep time reaches a predetermined length;
7. The sleep suggestion method of claim 6, wherein the controller performs: 8. The method of suggesting sleep according to claim 7, wherein the controller executes the process of performing the awakening assistance by changing the seat position of the seat on which the passenger of the own vehicle sits. a process of detecting a respiratory index and a body movement index of the occupant of the own vehicle;
a process of detecting the activity status of the occupant of the own vehicle;
a process of estimating an awakening period of the occupant of the own vehicle based on the detected activity status;
a process of transmitting the respiratory index and the body movement index detected during the estimated wakefulness period to a server device;
a process of receiving parameters of a sleep state estimation function adjusted by the server device through a learning process using the respiratory index and the body movement index as teacher data;
The method for suggesting sleep according to any one of claims 1 to 5, wherein the controller executes: 10. The sleep suggestion according to claim 9, wherein the controller executes a process of prompting detection of the breathing index and the body movement index during the waking period by proposing use of content to the occupant of the own vehicle. Method. a communicator;
a user interface including a speaker or display;
Sleep history information of occupants of other vehicles at a point on a planned route that the own vehicle will travel from now on is acquired by the communication device, and based on the sleep history information, the environment at the point on the planned route is suitable for sleep. A sleep suitability indicating degree is calculated for each point on each planned route, and based on the sleep suitability, a sleep time during which the occupant of the own vehicle can sleep while the own vehicle travels on the planned route is determined. a controller that estimates and proposes the estimated bedtime to the occupant of the own vehicle through the user interface;
A sleep suggestion device comprising:

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