JP6555696B2 - Sleep state determination device, sleep state determination method, sleep state determination system, and sleep state determination program - Google Patents

Description

  The present invention relates to a sleep state determination device, a sleep state determination method, a sleep state determination system, and a sleep state determination program, and in particular, a sleep state determination device that determines a sleep state in consideration of subjective data, daytime activity data, and the like. The present invention relates to a sleep state determination method, a sleep state determination system, and a sleep state determination program.

  It is said that many modern people have some sleep disorder. Insufficiency in sleep leads to a decline in quality of life (QOL) and productivity, lowering abilities, and, in more serious cases, psychiatric disorders such as depression. Drowsiness can also cause frequent serious accidents for truck and taxi drivers, construction sites and factory workers. For this reason, there is a large potential market aimed at measuring and improving sleep states.

  For the above reasons, various methods for determining and improving the sleep state of the measurement subject have been proposed. For example, in the conventional method, as a method for determining the sleep state of the measurement subject in real time, the movement (body motion) of the measurement subject is detected, and the determination threshold value is detected during a predetermined detection time. It has been proposed that the sleep state is determined to be “awakening” if it exceeds the limit, and “sleep” is determined if it is less than that (for example, see Patent Document 1). Moreover, what advises the health management regarding sleep from the sleep state and the information of the life rhythm input by the person has been proposed (for example, see Patent Document 2).

  In addition, frequency analysis of brain waves is performed to extract each frequency component of δ, α, σ, and β waves, and based on the content and content of each frequency component of δ, α, σ, and β waves And the sleep meter which determines a sleep state for every predetermined time block is proposed (for example, refer patent document 3). In this method, paying attention to the depth of sleep (sleep depth) as a sleep state, the temporal transition of the sleep depth is measured.

JP 2008-142238 A JP 2008-071263 A JP 2009-112402 A

However, the invention proposed in Patent Document 1 is a simple one in which body movement is simply divided by a threshold and “wakefulness” and “sleep” are determined, and the sleep state can be accurately determined. It ’s hard to say. Further, with such simple determination, it is difficult to give appropriate advice to the measurement subject.
Further, the invention proposed in Patent Document 2 has a problem that it takes time for the user to answer. Furthermore, since the data is only self-reported, and an objective life rhythm is not determined, an appropriate sleep state cannot always be evaluated.
Furthermore, in the invention proposed in Patent Document 3, the sleep state is determined based on the content and content rate of each frequency component of δ wave, α wave, σ wave, and β wave extracted by frequency analysis of the electroencephalogram. Highly accurate objective data can be acquired. However, the determination of the sleep state based on objective data does not necessarily coincide with the determination of the subjective sleep state. In addition, since individual differences (individual differences) between subjects are not taken into account, it is difficult to say that a determination suitable for each individual is made.

  As described above, in the conventionally proposed invention, the sleep state of each subject is determined uniformly, and the determination accuracy itself is low, or depending on the individual difference of each subject, the daytime activity status, etc. Judgment was not made. For this reason, it is difficult to say that appropriate advice is given to the user.

  This invention is made | formed in view of the said subject, and provides the sleep state determination apparatus which can determine a user's sleep state appropriately, a sleep state determination method, a sleep state determination system, and a sleep state determination program. With the goal.

  In order to solve the above problems, the sleep state determination device of the present invention is a sleep state determination device that determines a user's sleep state, a first data acquisition unit that acquires the vital data of the user during sleep, and sleep A second data acquisition unit that acquires subjective data of the user and a first determination unit that determines a user's sleep state based on data acquired by the first and second data acquisition units. And

  Moreover, the sleep state determination apparatus of this invention is a sleep state determination apparatus which determines a user's sleep state, Comprising: The 1st data acquisition part which acquires the user's vital data during sleep, and user activity other than the time of sleep A third data acquisition unit that acquires at least one of data and environmental data; and a second determination unit that determines a user's sleep state based on data acquired by the first and third data acquisition units. It is characterized by.

  As described above, according to the present invention, it is possible to provide a sleep state determination device, an operation support method, and an operation support program that can appropriately determine a user's sleep state.

It is an example of the schematic block diagram of the sleep state determination system which concerns on 1st Embodiment. It is an example of the block diagram of the user terminal which concerns on 1st Embodiment. It is an example of the block diagram of the server (sleep state determination apparatus) which concerns on 1st Embodiment. It is an example of the data stored in the memory | storage device of the server (sleep state determination apparatus) which concerns on 1st Embodiment. It is a figure which shows an example of the screen displayed on the user terminal which concerns on 1st Embodiment. It is a figure which shows an example of the screen displayed on the user terminal which concerns on 1st Embodiment. It is a figure which shows an example of the screen displayed on the user terminal which concerns on 1st Embodiment. It is a figure which shows an example of the screen displayed on the user terminal which concerns on 1st Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 1st Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 1st Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 1st Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 1st Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 1st Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 1st Embodiment. An example of a method for using the sleep state determination system according to the first embodiment will be described. It is an example of the schematic block diagram of the sleep state determination system which concerns on 2nd Embodiment. It is an example of the block diagram of the server (sleep state determination apparatus) which concerns on 2nd Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 3rd Embodiment. It is a flowchart which shows an example of operation | movement of the sleep state determination system which concerns on 3rd Embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. The sleep of the present invention includes “nap” and “main sleep”. Here, in general, “nap” means sleep for a few minutes to about 2-3 hours in the sense of supplementing sleep, and “main sleep” means sleep for several hours at night. However, for example, in the case of a user whose day and night life is reversed due to a night shift or the like, a “nap” may be performed at night and a “main sleep” may be performed during the day.

(First embodiment)
First, the configuration of the sleep state determination system 1 according to the first embodiment will be described with reference to FIG. The sleep state determination system 1 includes a first sensor group 2, a plurality of user terminals 3, a server 4 (sleep state determination device) connected to the plurality of user terminals 3 via a network 5, and the like.

(First sensor group 2)
The first sensor group 2 includes sensors 2A and 2B that detect vital data of a user (hereinafter, also referred to as a user U) of the sleep state determination system. The sensor 2A is a sensor that detects the vital data of the user U by attaching an electrode or the like mainly to the human body (in contact with the skin), such as the brain wave, electrooculogram, and myoelectric potential of the user U. Can be accurately detected. The sensor 2B is, for example, a sensor that detects the body movement, heart rate, snoring, breathing, and the like of the user U (for example, a body movement sensor placed on a bed, a wristwatch type, or a glasses-type wearable terminal). Although the accuracy is lower than that, it is not necessary to attach electrodes or the like to the human body, and the sleep state of the user U can be easily detected.

  The sensors 2A and 2B give identifiers to the detected vital data and output them to the user terminal 3. In the first embodiment, the vital data detected by the sensors 2A and 2B will be described as being transmitted to the server 4 via the user terminal 3. However, the vital data detected by the sensors 2A and 2B will be described. The configuration may be such that it is transmitted to the server 4 without going through the user terminal 3. Further, the above description of the sensors 2A and 2B is merely an example, and includes all sensors that detect all vital data that are currently developed and provided in the future. For example, in the above description, the sensor 2A is described as an example of a device that can measure highly accurate sleep data while attached to the human body, but the sensor 2A is not attached to the human body (in a state where it does not contact the skin). In addition, a device that can measure high-accuracy sleep data aligned with an electroencephalogram, an electro-oculogram, a myoelectric potential, and the like, a device that is embedded in a human body, and the like may be included. In FIG. 1, a wristwatch-type wearable terminal is illustrated as the sensor 2B, but the present invention is not limited to this.

(User terminal 3)
FIG. 2 is a configuration diagram of the user terminal 3. The user terminal 3 includes at least a communication unit 301, a storage device 302, an input device 303, a display device 304, and a control unit 305. The user terminal 3 is a portable terminal such as a smartphone or a tablet terminal, and includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), an RTC (Real-Time Clock), and the like. As shown in FIGS. 5 to 8, the user terminal 3 includes a camera 31, a speaker 32, a home button 33, a microphone (not shown), and the like.

  The communication unit 301 receives data transmitted from the server 4, for example, data to be displayed on the display device 304 via the network 5. In addition, the communication unit 301 transmits data such as input contents received by the input device 303 to the server 4 to the server 4 via the network 5. The communication unit 301 receives data detected by the first sensor group 2. In addition, the communication unit 301 transmits data detected by the first sensor group 2 to the server 4.

  The storage device 302 is, for example, an HDD (Hard Disk Drive) or a semiconductor storage device (SSD (Solid State Drive) or the like). The storage device 302 stores an identifier unique to each user terminal 3, an application program for determining the sleep state, and the like.

  The input device 303 is, for example, a keyboard, a mouse, a touch panel, or the like. The user U can input user registration, login, answer to a question, etc. by operating the input device 303.

  The display device 304 performs screen display based on data transmitted from the server 4. This screen includes at least a user registration screen, a login screen, a question answer screen, a sleep information presentation screen, an alert screen, and the like.

  The control unit 305 controls the user terminal 3.

(Server 4)
FIG. 3 is a configuration diagram of the server 4. The server 4 includes a communication unit 401, a storage device 402, a first data acquisition unit 403, a second data acquisition unit 404, a determination unit 405 (first determination unit), a learning unit 406, and a question presentation unit 407. A notification unit 408, an advice presentation unit 409, a screen data generation unit 410, and a control unit 411. The server 4 includes, for example, a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), an RTC (Real-Time Clock), and the like, and when the CPU executes a sleep state determination program, The function shown in FIG. 3 is realized.

  The communication unit 401 receives data transmitted from the user terminal 3 via the network 5. This data includes data input by the user U using the input device 303, for example, attribute information input at the time of user registration, data input at the time of login, answers to questions, etc., for sleep state determination Necessary data etc. are included. In addition, the communication unit 401 transmits screen generation data and the like to the user terminal 3 via the network 5.

  The storage device 402 is, for example, an HDD (Hard Disk Drive) or a semiconductor storage device (SSD (Solid State Drive)). In the storage device 402, user-registered data, as shown in FIG. 4, attribute data of the user U, for example, data such as a user name, login ID, and contact information are registered for each user U in association with the user ID. Yes.

  As shown in FIG. 4, the storage device 402 includes an attribute database BD1 (hereinafter also referred to as attribute DB1), a question database DB2 (hereinafter also referred to as question DB2), a sleep log database DB3 (hereinafter also referred to as sleep log DB3). Learning database DB4 (hereinafter also referred to as learning DB4). Note that these DBs 1 to 4 shown in FIG. 4 may be stored in a computer-readable storage medium, or may be configured to be readable from other computers or servers via a network.

The attribute DB 1 includes attribute information of the user U, for example, identification number (ID), age, gender, occupation, contact information, address, life pattern (sleeping time period, meal time period), habit (whether drinking / smoking) ) And the like, attribute information necessary for determination of the sleep state of the user U is stored in association with the identification number of each user U.
The question DB 2 stores a plurality of questions for acquiring subjective data of the user U with respect to sleep. The questions stored in the question DB 2 include, for example, questions about sleepiness and productivity while waking up, such as “Do you feel sleepy?”, “Did you concentrate on work?”, Etc.
In the sleep log DB 3, data acquired by the first and second data acquisition units 403 and 404, that is, vital data of the user U detected by the first sensor group 2, answers to questions, etc. of each user U Stored in association with the identification number.
In the learning DB 4, teacher data for determining the sleep state and the learning content of the sleep state learned by the learning unit 406 are stored in association with the identification number of each user U.

  Further, in addition to the database DB, the storage device 402 has an advice presented to the user U by the advice presenting unit 409, for example, a meal time zone or an input time zone for obtaining a better sleep state, regular exercise, Stores data such as how to spend before falling asleep and the environment during sleep. In addition, the storage device 402 stores a sleep state determination program and the like according to the first embodiment.

  The first data acquisition unit 403 acquires vital data of the user U detected by the first sensor group 2. The vital data acquired by the first data acquisition unit 403 is stored in the sleep log DB 3 for each user U.

  The second data acquisition unit 404 acquires subjective data of the user U, specifically, answer data to the question presented by the question presentation unit 407. The subjective data acquired by the second data acquisition unit 404 is stored in the sleep log DB 3 for each user U.

  The determination unit 405 includes data acquired by the first data acquisition unit 403 and the second data acquisition unit 404, that is, objective data detected by the first sensor group 2 and acquired by the first data acquisition unit 403. The sleep state of the user U is determined based on the subjective data of the answer to the question acquired by the second data acquisition unit 404. More specifically, the determination unit 405 gives a score (score) to the user U's sleep. In the scoring of the sleep state by the determination unit 405, a sum of values calculated by weighting the data acquired by the first and second data acquisition units 403 and 404 is used as a score. It may be given. Note that the data acquired by the first and second data acquisition units 403 and 404 may be weighted so that the maximum score is 100 points, or normalized so that the maximum score is 100 points. Also good. The determination of the sleep state in the determination unit 405 reflects the learning content of each individual user U in the learning unit 406 described later.

  In the learning unit 406, the sleep state of the user U calculated based on the data acquired by the first data acquisition unit 403 approaches the data acquired by the second data acquisition unit 404, that is, the user U's sense of sleep. In this way, the sleep state of each user U is learned. In the first embodiment, the sleep state of the user U is calculated from data acquired by the first data acquisition unit 403 based on teacher data stored in advance in the learning DB 4. Next, correction is performed so that the calculated sleep state approaches the sense of sleep of the user U acquired by the second data acquisition unit 404. That is, in the learning unit 406, the sleeping state is customized according to each user U.

  The learning unit 406 reflects the learning content of the sleep state of the user U in the learning content of the sleep state of another user U different from the user U based on the attribute of the user U. For example, when there is a user A and a user B who are shift workers (for example, 2 shifts or 3 shifts) who work for the same company, learning of sleep state starts at work (for example, six months ago) first. The learning content of the user A who is in the process may be reflected to the user B who has just started working. Moreover, even if it does not work for the same company or shift, between users U who have similar lifestyles (for example, occupation, sleeping hours), the learning content of a certain user U's sleep state can be transferred to another user U's sleep. You may make it reflect in the learning content of a state.

  In the first embodiment, learning of the sleep state in the learning unit 406 is performed by machine learning using, for example, Bayesian estimation, and an input and an output to be corresponding to the input (a human expert takes a training example) The teacher learns the sleep state with supervised learning that generates a function that maps (which is often provided by labeling, also called a label), but the teacher builds a model from input only (no label) Unsupervised learning, semi-supervised learning that can handle both labeled and unlabeled examples, reinforcement learning that learns how to act by observing the surrounding environment, and learning related problems simultaneously In addition to multitask learning that improves the prediction accuracy of major problems, various methods can be used.

  The question presentation unit 407 extracts a question to be presented to the user U from the question DB 2 and instructs the communication unit 401 to transmit the question to the user terminal 3. The question received by the user terminal 3 is displayed on the display device 304 as a questionnaire. The questionnaire may include a plurality of questions or only one question.

  When the learning unit 406 learns the sleep state of the user U, the question presenting unit 407 changes at least one of the timing of presenting the question to the user U and the question content.

Note that the change in the timing of the question presentation includes at least the following aspects.
(1) Increase / decrease in the number of questionnaires presented within a predetermined period (1 day, 1 week, etc.) (2) The number of questionnaires presented within a predetermined period does not change, but the presented time zone changes For example, a mode in which a questionnaire is presented three times a day (morning, daytime, and nighttime) is included only in the morning, daytime, and nighttime. In addition, for example, a mode in which a questionnaire is presented in the morning and a questionnaire is presented in the evening in accordance with a change in the bedtime of the user U due to a work shift or the like is included.

In addition, the change in the question content includes at least the following aspects.
(1) Increase / decrease in the number of questions presented in one questionnaire (2) Simplification of answers to questions presented in one questionnaire (3) Change in question text presented in one questionnaire For example, an aspect in which 10 questions are presented in a single questionnaire is not presented for questions that have advanced learning, and only 5 questions are presented. In the first embodiment, the answer to the question is made in a five-step evaluation, but an aspect in which the question that has advanced learning is changed to a simple answer of YES or NO is included. Furthermore, the aspect that a question sentence becomes simpler about the question which progressed learning is included.

  Moreover, the question presentation unit 407 stops presenting the question to the user U who has learned the sleep state by the learning unit 406 (based on the learning state of the sleep state of the user U by the learning unit 406, subjective data Stop getting). Note that the question presentation unit 407 resumes acquisition of subjective data based on the data acquired by the first data acquisition unit 403 or the passage of a period. Specifically, the question presenting unit 407 presents a question to the user U when the sleep state changes such as when the user U's sleep time zone changes from the data acquired by the first data acquisition unit 403. To resume. The question presenting unit 407 resumes presenting the question to the user U when a predetermined time (for example, one month) elapses after the presenting of the question to the user U is stopped.

  Here, the question presentation unit 407 changes the question presentation timing and content or stops the question presentation based on the learning state in the learning unit 406, but is acquired by the first data acquisition unit 403, for example. If the coincidence rate of the sleep state of the user U estimated by the learning unit 406 with the data acquired by the second data acquisition unit 404 is less than 50% based on the data obtained, the question is presented as usual, When the matching rate is in the range of 50% to 90%, as the matching rate increases, at least one of the number of questionnaires and the number of questions is gradually decreased, and when the matching rate exceeds 90%, the presentation of questions is stopped. You may do it. Note that the above is merely an example, and does not preclude changing the question presentation timing or content by other methods or stopping the question presentation.

  The notification unit 408 performs notification that alerts the user U based on the data acquired by the first and second data acquisition units. Specifically, the notification unit 408, for example, when there is an omission in data acquired by the first data acquisition unit 403, such as forgetting to put on the sensors 2A and 2B for detecting vital data and going to bed, or when the user terminal 3 If there is a missing data in the data acquired by the second data acquisition unit 404 due to forgetting to input the answer to the questionnaire (question) by the push notification from the application installed in the acquired data, the acquired data to the display device 304 of the user terminal 3 To display that there is a gap. In addition, when the data can be re-input, such as a questionnaire, the notification unit 408 displays a data re-input screen on the display device 304 of the user terminal 3 and prompts the user U to re-input the data. In addition, the notification unit 408 is out of the predetermined range (for example, when the data acquired by the first data acquisition unit 403 is out of the average value within ± 3 sd (within a range of 98.73%)). If the data acquired by the first data acquisition unit 403 is out of the predetermined range, an alert is displayed (notified) on the display device 304 of the user terminal 3.

  The advice presenting unit 409 presents advice for improving the sleep state to the user U based on the determination result (score) of the sleep state in the determination unit 405 and the learning content in the learning unit 406. Specifically, the advice presentation unit 409 is a meal time zone or input time zone for obtaining a better sleep state (in order to increase the determination unit 405 score), regular exercise, how to spend before sleep, sleep Present the environment of time to the user U. In addition, when the value of the determination result (score) of the sleep state in the determination unit 405 is less than the threshold value, or when the user U operates the input device 303 of the user terminal 3 and requests advice regarding sleep, the advice presentation unit 409 May be configured to present advice to the user U to improve sleep. In addition, when it is known in advance that the lifestyle changes, such as shift work, the advice presenting unit 409 determines a better sleep state based on the learning content of another user U whose attributes are similar to the lifestyle after the change Advice (to increase the determination unit 40 score) may be presented.

  The screen data generation unit 410 generates screen data to be displayed on the display device 304 of the user terminal 3. A screen displayed on the display device 304 of the user terminal 3 by the screen data generated by the screen data generation unit 410 will be described later with reference to the drawings.

  The control unit 411 controls the server 4.

  In addition, the contents of the notification by the notification unit 408 and the advice by the advice presentation unit 409 are not only included with the user U, but also with the supervisor, manager, working doctor, etc. registered in advance as a notification destination together with the user name. You may make it transmit. In this way, it is possible to grasp the sleep state of the company employee, and to perform appropriate advice, change of working hours, rearrangement, and the like. As a result, the working style of the company employees is improved (work style reform). Moreover, daytime productivity is improved by improving the sleep state.

  Next, screens displayed on the display device 304 of the user terminal 3 in the first embodiment will be described with reference to FIGS. 5-8 is a figure which shows an example of the screen displayed on the user terminal which concerns on 1st Embodiment. The screens shown in FIGS. 5 to 8 are displayed on the display device 304 by generating screen data by the screen data generation unit 410 of the server 4 and transmitting the screen data to the user terminal 3.

  FIG. 5A is a login screen displayed on the display device 304 of the user terminal 3. In the login screen shown in FIG. 5A, the user U operates the input device 303 of the user terminal 3 to input the registered login ID into the frame 501 and the password into the frame 502. After entering, you can log in by touching the execution (return key) icon. Further, by checking the frame 503, it is possible to have a logged-in state.

  FIG. 5B is a home screen displayed after login. On the home screen, an icon (photograph or avatar) of the user U and a user name are displayed on the upper section 504 of the display device 304. In addition, a sleep determination value (score) for the current month, a sleep determination value (score) for the current week, and a sleep determination value (score) for the current day are displayed on the middle stage 505 of the display device 304. Further, advice for obtaining a more comfortable sleep for the user U is displayed on the lower stage 506 of the display device 304. Further, an icon group (four in the first embodiment) is displayed on the lowermost part 507 of the display device 304, and the user U operates the input device 303 to select any icon to cope with an unconfirmation. Transition to the attached screen.

  FIG. 6A is a question selection screen displayed on the display device 304 of the user terminal 3. In the screen illustrated in FIG. 6A, the user U operates the input device 303 of the user terminal 3 to select either weekly 601 or daily 602. When selecting weekly 601, the screen transits to a screen on which a question for each week is presented. When selecting daily 602, the screen transits to a screen on which a daily question is presented. FIG. 6B is a question answer input screen. In the screen shown in FIG. 6B, questions Q1 to Q3 to the user U are displayed (presented), and the user U operates the input device 303 of the user terminal 3 so that each of the questions Q1 to Q3 is displayed below. Answer boxes 603 to 605 consisting of five groups of boxes to be displayed are selected to answer each question. In the example shown in FIG. 6A, the number of displayed questions is three. However, the number of questions is not limited to three, and an arbitrary number can be presented. In the example shown in FIG. 6 (b), the answer is given in a five-step evaluation for each question. However, the answer is not limited to the five steps, and the evaluation is made in other forms such as three or ten steps, YES or NO. It is good.

  In the history browsing screen illustrated in FIG. 7, the user U can browse past sleep states. In FIG. 7A, past sleep state determination values (scores) are displayed in a list as a bar graph. In FIG. 7A, when the month display is selected, the sleep state determination values (scores) for the days of the selected month (for example, from 1st to 30th in September) are listed as a bar graph for each day. When the year display is selected, a list of sleep state determination values (scores) from January to December of the selected year is displayed as a bar graph for each month. Further, in FIG. 7B, a sleep score 702 for the selected day, a sleep / activity cycle 704 in a pie chart shape, a sleep transition diagram 705 in a curve graph, and the like are displayed. By listing the history of past sleep states, it is possible to intuitively understand when sleep states were good and bad. Moreover, when the history of the past sleep state is selected (tapped), the behavior history (life log) of the day may be displayed. With such a configuration, it is possible to intuitively understand what behavior pattern leads to good sleep.

  On the work time input / confirmation screen shown in FIG. 8A, the user U can input and confirm the work time by operating the input device 303 of the user terminal 3. In addition, it is good also as a structure which can input and confirm not only working hours but sleep time and the activity time of the daytime. Further, data may be acquired from an application program having a schedule or calendar function installed in the user terminal 3. In addition, in the device cooperation screen shown in FIG. 8B, the setting and confirmation of the cooperation with the first sensor group 2 can be performed. In the screen of FIG. 8B, a list of device (sensor) names that can be connected by wireless communication (WiFi or Bluetooth (registered trademark)) or the like is displayed. A check mark appears on the right side.

  FIGS. 9-14 is a flowchart which shows an example of operation | movement of the sleep state determination system 1 which concerns on 1st Embodiment. Hereinafter, although the operation of the sleep state determination system 1 according to the first embodiment will be described with reference to the drawings, the same components as those described with reference to FIGS. Therefore, duplicate explanations are omitted.

FIG. 9 is a flowchart showing the user registration operation of the sleep state determination system 1 according to the first embodiment.
(Step S101)
First, the user U accesses the server 4 by operating the input device 303 of the user terminal 3. When the access from the user terminal 3 is accepted, the screen data generation unit 410 of the server 4 generates screen data for inputting the attribute information of the user U. The screen data generated by the screen data generation unit 410 is transmitted from the communication unit 401 to the user terminal 3 via the network 5.

(Step S102)
The screen data received by the communication unit 301 of the user terminal 3 is displayed on the display device 304 as an input screen for user U attribute information. Here, attribute information is information, such as a user name, age, sex, contact information (address, telephone number, e-mail address, etc.), work place, working time, and the like.

(Step S103)
When the user U operates the input device 303 of the user terminal 3 to input an attribute and selects a predetermined icon (for example, “register” icon) on the screen, the input attribute information is the communication unit 301 of the user terminal 3. Is transmitted via the network 5 and received (accepted) by the communication unit 401 of the server 4.

(Step S104)
The control unit 411 stores the attribute information received by the communication unit 401 in the storage device 402. In addition, the control unit 411 issues a login ID and a password. The login ID and password are automatically issued by the server 4 without duplication.

  The user registration may be configured such that temporary registration is performed once with the input attribute information, an invitation URL is sent to the registered mail address, and formal registration is performed by accessing from the URL. User registration may be an invitation system. By adopting the invitation system, you can control the user group that you use, and eliminate the possibility that the number of users who are only registered with interest will increase, or that there will be many users who are not intended (low quality) by the management side. Can do. For this reason, it is possible to suppress the occurrence of a situation where the impression of the service is deteriorated at the entrance stage and the target user does not settle even if it flows.

FIG. 10 is a flowchart showing the operation of the sleep state determination system 1 according to the first embodiment.
(Step S201)
First, the user U operates the input device 303 of the user terminal 3 to access the server. When accessed from the user terminal 3, the screen data generation unit 410 of the server 4 generates screen data for inputting a login ID and PW. The screen data generated by the screen data generation unit 410 is transmitted from the communication unit 401 to the user terminal 3 via the network 5.

  The screen data received by the communication unit 301 of the user terminal 3 is displayed on the display device 304 as an input screen for user U login information. When the user U operates the input device 303 of the user terminal 3 to input a login ID and a password and selects a predetermined icon (for example, a “send” icon) on the screen, the input attribute information is stored in the user terminal 3. Are transmitted from the communication unit 301 via the network 5.

(Step S202)
The control unit 411 of the server 4 determines whether the login ID and password combination transmitted from the user terminal 3 matches the login ID and password combination stored in the storage device 402. If the combination of the login ID and the password does not match (NO in S202), the control unit 411 returns to the operation in S201. Note that a login error may be displayed on the display device 304 of the user terminal 3 when returning to the operation of S201. When the combination of the login ID and the password matches (YES in S202), the control unit 411 permits login.

(Step S203)
When the user U operates the input device 303 of the user terminal 3 to execute device cooperation, the screen data generation unit 410 of the server 4 generates screen data for cooperation of the devices. The screen data generated by the screen data generation unit 410 is transmitted from the communication unit 401 to the user terminal 3 via the network 5. The screen data received by the communication unit 301 of the user terminal 3 is displayed on the display device 304 as a device cooperation screen shown in FIG.
When a list of connectable device (sensor) names is displayed as shown in FIG. 8B, the user U operates the input device 303 of the user terminal 3 to link the devices (sensors), and the user When connected to the terminal 3, a check mark is displayed to the right of the device (sensor) name displayed in a list.

(Step S204)
Next, the first data acquisition unit 403 acquires data (objective data) from the linked device, that is, the first sensor group 2.

(Step S205)
The question presentation unit 407 extracts a question to be presented to the user U from the question DB 2 and instructs the communication unit 401 to transmit the question to the user terminal 3. The screen data generation unit 410 of the server 4 generates screen data for presenting a question. The screen data generated by the screen data generation unit 410 is transmitted from the communication unit 401 to the user terminal 3 via the network 5. The screen data received by the communication unit 301 of the user terminal 3 is displayed on the display device 304 as a questionnaire (question) screen shown in FIG.

  When the user U operates the input device 303 of the user terminal 3 to answer the question, the answer is transmitted from the communication unit 301 of the user terminal 3 to the server 4 and received by the communication unit 401. The second data acquisition unit 404 acquires answer data (subjective data) to the question received by the communication unit 401.

(Step S206)
In the learning unit 406, the sleep state of the user U calculated based on the data acquired by the first data acquisition unit 403 approaches the data acquired by the second data acquisition unit 404, that is, the user U's sense of sleep. In this way, the sleep state of each user U is learned.

(Step S207)
The determination unit 405 includes data acquired by the first data acquisition unit 403 and the second data acquisition unit 404, that is, objective data detected by the first sensor group 2 and acquired by the first data acquisition unit 403. The sleep state of the user U is determined based on the subjective data of the answer to the question acquired by the second data acquisition unit 404, and a score (score) is given to the sleep of the user U.

(Step S208)
The advice presenting unit 409 presents advice for improving the sleep state to the user U based on the determination result (score) of the sleep state in the determination unit 405 and the learning content in the learning unit 406. Specifically, the advice presentation unit 409 is a meal time zone or input time zone for obtaining a better sleep state (in order to increase the determination unit 40 score), regular exercise, how to spend before sleep, sleep Present the environment of time to the user U. The screen data generation unit 410 of the server 4 generates screen data for presenting advice by the advice presentation unit 409. The screen data generated by the screen data generation unit 410 is transmitted from the communication unit 401 to the user terminal 3 via the network 5. The screen data received by the communication unit 301 of the user terminal 3 is displayed on the display device 304 as a sleep solution at the bottom of the screen shown in FIG.

(Step S209)
The control unit 411 determines whether operations based on subjective data such as learning and improvement point presentation have been completed. If the operation has not ended, the process returns to the subjective data acquisition operation.

  In the operation described with reference to FIG. 10, the operation starts from the login. However, when the user has already logged in, the operation may be started from S203.

FIG. 11 is a flowchart illustrating a stop operation of question presentation (subjective data acquisition) by the question presentation unit 407 of the sleep state determination system 1 according to the first embodiment.
(Step S301)
First, the question presentation unit 407 matches the data acquired by the second data acquisition unit 404 with the sleep state of the user U estimated by the learning unit 406 based on the data acquired by the first data acquisition unit 403. It is determined whether the rate exceeds a threshold value TH1 (for example, 90%).

(Step S302)
When the matching rate between the sleep state of the user U estimated by the learning unit 406 and the data acquired by the second data acquisition unit 404 exceeds the threshold value TH1 (YES in S302), the question presenting unit 407 Stop presenting questions to and stop acquiring subjective data.

(Step S303)
When the matching rate of the sleep state of the user U estimated by the learning unit 406 and the data acquired by the second data acquisition unit 404 is equal to or less than the threshold value TH1 (NO in S302), the question presenting unit 407 The coincidence rate of the sleep state of the user U estimated by the learning unit 406 based on the data acquired by the one data acquisition unit 403 with the data acquired by the second data acquisition unit 404 is a threshold value TH2 (for example, 50%). Determine if it exceeds.

(Step S304)
When the matching rate between the sleep state of the user U estimated by the learning unit 406 and the data acquired by the second data acquisition unit 404 exceeds the threshold value TH2 (YES in S303), the question presentation unit 407 Change at least one of the timing and content of questions.

(Step S305)
In addition, the question presenting unit 407 whose matching rate between the sleep state of the user U estimated by the learning unit 406 and the data acquired by the second data acquisition unit 404 is equal to or less than the threshold value TH2 maintains the timing and content of the question. .

FIG. 12 is a flowchart showing an operation of resuming question presentation (resuming subjective data acquisition) by the question presentation unit 407 of the sleep state determination system 1 according to the first embodiment.
(Step S401)
First, the question presentation unit 407 determines whether a predetermined period (for example, one month) has elapsed since the presentation of the question was stopped.

(Step S402)
When the predetermined period has not elapsed since the question presentation is stopped (NO in S401), the question presenting unit 407 changes to data acquired by the first and second data acquiring units 403 and 404 (for example, bedtime). Change). When there is no change (for example, change in bedtime) in the data acquired by the first and second data acquisition units 403 and 404 (NO in S402), the question presentation unit 407 ends the operation of restarting acquisition of subjective data. To do.

(Step S403)
When the predetermined period has elapsed since the presentation of the question has been stopped (YES in S401) or when the data acquired by the first and second data acquisition units 403 and 404 has changed (YES in S402), the question is presented The unit 407 resumes presenting the question to the user U and resumes acquisition of subjective data.

  In the flow shown in FIG. 12, only one of step S401 and step S402 may be determined.

FIG. 13 is a flowchart showing an alert notification operation of the sleep state determination system 1 according to the first embodiment.
(Step S501)
The notification unit 408 determines whether or not the data acquired by the first and second data acquisition units 403 and 404 has a defect (missing).

(Step S502)
When the data acquired by the first and second data acquisition units 403 and 404 are not missing (missed) (NO in S501), the data acquired by the first data acquisition unit 403 is within a predetermined range (for example, from the average value). It is determined whether or not it is out of the plus or minus 3 sd (in the range of 98.73%). When the data acquired by the first data acquisition unit 403 is not out of the predetermined range (NO in S502), the notification unit 408 ends the operation without performing notification.

(Step S503)
When the data acquired by the first and second data acquisition units 403 and 404 are missing (missed) (YES in S501), or when the data acquired by the first data acquisition unit 403 is out of the predetermined range (YES in S502), the notification unit 408 notifies the user U of an alert.

FIG. 14 is a flowchart illustrating the learning content application operation by the learning unit of the sleep state determination system 1 according to the first embodiment.
(Step S601)
The learning unit 406 confirms attribute information of two or more users U.

(Step S602)
Next, the learning unit 406 determines whether the attribute information between different users U has matching points or similar points, for example, whether there are matching points or similar points in work hours, work contents, or the like.

(Step S603)
Next, when there is a match or similarity between the attribute information between different users U, the learning unit 406 learns the learning content of the sleep state of the user U and the learning content of the sleep state of another user U different from the user U. To reflect. Moreover, the learning part 406 complete | finishes operation | movement, when there is no coincidence point or similarity in the attribute information between different users U.

  Next, a usage example of the system 1 according to the first embodiment will be described with reference to FIG. The right side of FIG. 15 represents the action of the user U, and the left side represents the operation of the system 1. Further, in FIG. 15, it is assumed that the upper side of the page is the wake-up time zone and the lower side of the page is the bedtime time zone, and the time advances from the upper side to the lower side of the page. In the following description, it is assumed that user registration has been performed and cooperation setting with the device (sensor group 2) has been performed.

  First, the user U starts up an application installed in the user terminal 3 before falling asleep (when the application is not activated). When the application is launched, a user ID / password input screen is displayed on the display device 304 of the user terminal 3. Next, the user U operates the input device 303 of the user terminal 3 and inputs a user ID and a password. The input user ID and password are transmitted from the user terminal 3 to the server 4, and the server 4 performs authentication. In addition, the user terminal 3 recognizes the sensor group 2 that is a device for which cooperation is set, and performs authentication for cooperation.

  Further, data detected by the sensor group 2 is acquired during the sleep of the user U. Data detected by the sensor group 2 is acquired from the first data acquisition unit 403 of the server 4 via the user terminal 3. Next, when the user U wakes up, the advice presenting unit 409 of the server 4 presents the user U with advice regarding sleep (for example, acquisition of a nap). The advice presented by the first determination unit 405 is pushed to the user U by the application program installed in the user terminal 3. Moreover, the 1st determination part 405 performs a reminder when the nap time (for example, lunch break time) approaches. Specifically, the 1st determination part 405 presents the advice regarding sleep (for example, acquisition of a nap) to the user U again.

  The user U takes a nap according to the advice. Further, the question presentation unit 407 of the server 4 presents a question to the user U. The question presented by the question presentation unit 407 is pushed to the user U by an application program installed in the user terminal 3. The user U operates the input device 303 of the user terminal 3 to input a question answer. The answer input by the user U is acquired by the second data acquisition unit 404 of the server 4. In the server 4, the first determination unit 405 of the server 4 includes data acquired by the first data acquisition unit 403, learning contents of the learning unit 406, data acquired by the second data acquisition unit 404 during the day, and the like. The user's U sleep state is determined based on the above and presented to the user U.

In addition, the advice presenting unit 409 of the server 4 presents advice regarding sleep to the user U (for example, change of an input time zone or a sleep time zone). The advice presented by the first determination unit 405 is pushed to the user U by the application program installed in the user terminal 3.
In addition, the user U inputs other data (for example, working hours, etc.) as appropriate using the idle time. Further, when the sleep time approaches, the server 4 presents a sleep reminder, and the user U falls asleep according to the presented time.

  As described above, the sleep state determination device 4 according to the first embodiment is a sleep state determination device that determines the sleep state of the user U, and the first data acquisition unit 403 that acquires vital data of the user U during sleep. And a second data acquisition unit 404 that acquires subjective data of the user U with respect to sleep, and a determination unit that determines the sleep state of the user U based on data acquired by the first and second data acquisition units 403 and 404 405.

  That is, since the sleep state determination device 4 according to the first embodiment determines the sleep state in consideration of the subjective data of the user U with respect to sleep in addition to the objective data of vital data, the user U actually feels it. The sleep state can be determined in consideration of the sense of sleep that is present. In addition, since the subjective data of the user U is taken into consideration, the sleep state can be determined in consideration of individual differences in accordance with the actual situation of the user U, not a uniform determination.

  The first data acquisition unit 403 of the sleep state determination device 4 acquires data from the first sensor 2A and the second sensor 2B that detect vital data, and the vital data detected by the first sensor 2A is the second sensor. The accuracy is higher than the vital data detected by 2B. That is, when acquiring the vital data of the user U, the first sensor 2A having a high accuracy for detecting an electroencephalogram, an electrooculogram, a myoelectric potential, etc. By combining the second sensor 2B that detects body movement (acceleration sensor), heart rate, snoring, etc., vital data during sleep can be acquired more effectively. Moreover, mutual data can be complemented by combining the data detected by the first sensor 2A and the data detected by the second sensor 2B. For this reason, the determination accuracy of the sleep state by vital data improves. In addition, even when data cannot be acquired from one of the first sensor 2A or the second sensor 2B due to some factor (for example, sensor disconnection, noise, etc.), the sleep state is determined by complementing the data with the other data. be able to.

  In addition, the sleep state determination device 4 acquires the learning unit 406 that learns the sleep state of the user U based on the data acquired by the first data acquisition unit 403 and the second data acquisition unit 404, and acquires subjective data. A question presenting unit 407 for presenting the above question. Then, the question presentation unit 407 changes at least one of the question presentation timing and the presentation content based on the learning state of the user U's sleep state by the learning unit 406. For this reason, when sleep state learning has progressed (for example, subjective data in which the sleep state of the user U estimated based on data acquired by the first data acquisition unit 403 is acquired by the second data acquisition unit 404) If the ratio that matches the above exceeds a predetermined value), reduce the number of questions to be made to the user U to obtain subjective data, change the timing (time) of the question, change the answer time when the question is asked, Therefore, the user U can improve the convenience of the user U by flexible operation such as reducing the number of questions per time to make the content of the answer to be more easily answered. In addition, since the same question is repeated many times or it becomes unnecessary to answer many questions at once, the user U can answer without feeling bothered. As a result, since the answer is made in a stress-free state, the subjective data can be acquired more in line with the intuition of the user U, and the quality of the sleep state determination is improved.

Moreover, the question presentation unit 407 of the sleep state determination device 4 stops presenting the question to the user U based on the learning state of the user U's sleep state by the learning unit 406.
For example, when learning of the sleep state progresses and the sleep state can be accurately determined based on the data acquired by the first data acquisition unit 403, the acquisition of subjective data is stopped. Since it becomes unnecessary to answer a question regularly, the convenience of the user U improves. Further, the user U is freed from the troublesomeness of answering the questions periodically. In addition, regarding a question in which the rate at which the sleep state of the user U estimated based on the data acquired by the first data acquisition unit 403 matches the subjective data acquired by the second data acquisition unit 404 exceeds a predetermined value, the user You may make it stop the question to U.

In addition, the question presentation unit 407 of the sleep state determination device 4 resumes the presentation of the question based on the data acquired by the first data acquisition unit 403 or the passage of the period.
For example, when there is a change in the lifestyle of the user U (for example, increase or decrease in sleep time, change in sleep time or wake-up time), or when a predetermined period has passed, learning is resumed by restarting acquisition of subjective data It is possible to suppress a difference between the sleep state determination result determined based on the learning state learned in the unit and the subjectivity of the user U, and to determine the sleep state with higher accuracy.

In addition, the learning unit 406 of the sleep state determination device 4 reflects the learning content of the sleep state of the user U on the learning content of the sleep state of another user U different from the user U based on the attribute of the user U.
That is, since the learning content of the sleep state of a certain user U is reflected in the learning content of the sleep state of another user U based on the attribute of the user U, the time and data amount necessary for learning the sleep state are reduced. . For this reason, the frequency | count and content of a question with respect to the user U need be few, and the user U becomes difficult to feel troublesome in the answer to a question. As a result, the convenience for the user U is improved.

In addition, the sleep state determination device 4 determines that at least one data of the first and second data acquisition units 403 and 404 has an abnormality, that is, at least one data of the first and second data acquisition units 403 and 404. When a deficiency occurs or when it is out of a predetermined range, a notification unit 408 that notifies the user U of an alert is provided.
By notifying the alert when data is missing or when the data is out of the predetermined range, the missing data can be supplemented or the data can be normally acquired from the next time onward. Further, it can be notified that there is an abnormal value in the data. For this reason, the sleep state of the user U can be determined more accurately. Further, by notifying the alert so that the user U does not lose data after the next time, an improvement in the data acquisition rate can be expected, and the accuracy of the sleep state determination is improved.

The sleep state determination device 4 includes an advice presenting unit 409 that presents sleep advice for each user U according to the learning content of each user U learned by the learning unit 406.
That is, since the advice can be presented according to the individual lifestyle (for example, morning type, night type, etc.) and subjectivity of the user U, the misguided advice that does not match the actual situation of the user U is not presented. . For this reason, the quality of sleep of the user U can be improved more effectively by following the advice.

  Moreover, the sleep state determination method which concerns on 1st Embodiment is a sleep state determination method which determines the sleep state of the user U, The process in which the 1st data acquisition part 403 acquires the user U's vital data during sleep, The process in which the second data acquisition unit 404 acquires the subjective data of the user U with respect to sleep, and the determination unit 405 determines the sleep state of the user U based on the data acquired by the first and second data acquisition units. And having.

  In addition, the sleep state determination program according to the first embodiment is a sleep state determination program for determining the sleep state of the user U, and the first data acquisition unit 403 acquires the vital data of the user U while sleeping on the computer. The determination unit 405 that determines the sleep state of the user U based on the data acquired by the second data acquisition unit 404 and the first and second data acquisition units 403 and 404 that acquire the subjective data of the user U with respect to sleep. To act as.

  Moreover, the sleep state determination system which concerns on 1st Embodiment is a sleep state determination system which determines the sleep state of the user U which determines the sleep state of the user U, Comprising: The sensor which detects the vital data of the user U during sleep Group 2, terminal 3 that accepts input of subjective data of user U for sleep, first data acquisition unit 403 that acquires vital data from sensor group 2, and second data acquisition that acquires subjective data input to the terminal And a sleep state determination device 4 including a determination unit 405 that determines the sleep state of the user U based on the data acquired by the unit 404 and the first and second data acquisition units 403 and 404.

(Second Embodiment)
FIG. 16 is a configuration diagram of the sleep state determination system 6 according to the second embodiment. In the second embodiment, an embodiment will be described in which daytime vital data and environmental data are acquired and the sleep state of the user U is determined and learned. In addition, in the following description, the same code | symbol is attached | subjected to the structure same as the structure demonstrated with the sleep state determination system 1 which concerns on 1st Embodiment, and the overlapping description is abbreviate | omitted.

As shown in FIG. 16, the sleep state determination system 6 according to the second embodiment includes a second sensor group 7 that detects activity data and environmental data of the user U other than during sleep. The second sensor group 7 includes a sensor 7A that detects activity data of the user U and a sensor 7B that detects environmental data. The sensor 7A detects the activity data of the user U, for example, walking distance, working hours, body temperature, blood pressure, and the like. The sensor 7B detects environmental data, for example, temperature, humidity, lightness (brightness), odor, carbon dioxide (CO ₂ ) concentration, and the like. The example of the activity data and the environmental data described here is merely an example, and the sensor 7A and the sensor 7B can be detected without being limited to those described here.

  FIG. 17 is a configuration diagram of a sleep state determination device 4A according to the second embodiment. The sleep state determination device 4A according to the second embodiment further includes a third data acquisition unit 412 and an environment control unit 413.

  The third data acquisition unit 412 acquires at least one of activity data and environmental data of the user U other than sleeping detected by the second sensor group 7. The determination unit 405 (second determination unit) determines the sleep state of the user U based on the data acquired by the first and third data acquisition units 403 and 412. The environment control unit 413 controls the indoor environment according to the determination result of the sleep state. For example, the environment control unit 413 controls the indoor air conditioning (temperature), the humidifier (humidity), and the illumination (brightness) to be optimal for falling asleep. The environment control unit 413 also controls the audio to play music that encourages falling asleep, or releases a scent that encourages falling asleep (fragrance).

  As described above, the sleep state determination device 4A according to the second embodiment includes the first data acquisition unit 403 that acquires the vital data of the user U during sleep, and the activity data and environmental data of the user U other than during sleep. A determination unit 405 (second determination unit) that determines the sleep state of the user U based on data acquired by the third data acquisition unit 412 that acquires at least one and the first and third data acquisition units 403 and 412. With.

  The sleeping state depends not only on the sleeping environment (eg, temperature, humidity, lightness, humidity) but also on the environment and activity other than sleeping. For this reason, in addition to vital data during sleep, it is possible to effectively determine the sleep state by determining the sleep state in consideration of at least one of the daytime activity data and the environment data of the user U. Moreover, the sleep state can be determined with higher accuracy by considering at least one of the daytime activity data and the environmental data of the user U. Also, by controlling the indoor air conditioning (temperature), humidifier (humidity), and lighting (brightness) to be optimal for falling asleep according to the judgment result of the sleep state, it is possible to take optimal sleep, Quality of life and productivity such as daytime work are improved. Other effects are the same as those of the sleep state determination device 4 according to the first embodiment. Moreover, although the said description demonstrated as a structure which controls an indoor environment via the user terminal 3, it is good also as a structure which the server 4 directly controls an indoor environment not via the user terminal 3. FIG. In this case, the server 4 and the indoor air conditioner, lighting, audio, humidifier (humidity) and the like are directly connected via the network 5.

  Moreover, the sleep state determination method which concerns on 2nd Embodiment is a sleep state determination method which determines the sleep state of the user U, and the process in which the 1st data acquisition part 403 acquires the user U's vital data during sleep, A step in which the third data acquisition unit 412 acquires at least one of activity data and environmental data of the user U other than during sleep, and a determination unit 405 (second determination unit) by the first and third data acquisition units 403 and 412 Determining the sleep state of the user U based on the acquired data.

  Moreover, the sleep state determination program which concerns on 2nd Embodiment is a sleep state determination program which determines the sleep state of the user U, The 1st data acquisition part 403 which acquires the vital data of the user U during sleep, Based on the data acquired by the third data acquisition unit 412 and the first and third data acquisition units 403 and 412 that acquire at least one of the activity data and environmental data of the user U other than during sleep, the sleep state of the user U Is operated as a determination unit 405 (second determination unit).

  The sleep state determination system according to the second embodiment is a sleep state determination system that determines the sleep state of the user U, the first sensor group 2 that detects vital data of the user U during sleep, and other than during sleep The second sensor group 7 that detects at least one of the user U's activity and the user U's environmental data, the first data acquisition unit 403 that acquires vital data from the first sensor group 2, and the activity from the second sensor group 7 A third data acquisition unit 412 that acquires at least one of data and environmental data, and a determination unit 405 that determines the sleep state of the user U based on data acquired by the first and third data acquisition units 403 and 412. A second determination unit).

(Third embodiment)
In the first and second embodiments, the question presentation unit 407 stops presenting the questionnaire (question) to the user U according to the progress of the learning content by the learning unit 406. In other words, the second data acquisition The embodiment in which the acquisition of the answer (objective data) to the question by the unit 404 has been described. In the third embodiment, an embodiment will be described in which the acquisition of vital data (objective data) by the first data acquisition unit 403 is stopped in accordance with the progress of learning content by the learning unit 406.

  The sensor group 2 that acquires the vital data of the user U requires preparations such as attaching an electrode to the body or setting the sensor, and thus involves some annoyance and mental burden. Therefore, in the third embodiment, an embodiment will be described in which the acquisition of vital data (objective data) by the first data acquisition unit 403 is stopped according to the progress of the learning content by the learning unit 406. Further, in the third embodiment, the acquisition of subjective data by the second data acquisition unit 404 is continued, and some triggers (events) such as a change in sleep state determination based on subjective data (for example, a fall in sleep evaluation) are observed. When this occurs, the acquisition of vital data (objective data) by the first data acquisition unit 403 is resumed.

  The details of the third embodiment will be described below with reference to FIGS. 18 and 19. The same reference numerals are given to the same components as those described in the first and second embodiments (FIGS. 1 to 16). Therefore, duplicate explanations are omitted.

FIG. 18 is a flowchart showing a stop operation of the acquisition of vital data (objective data) of the user U by the first data acquisition unit 403 of the sleep state determination system 1 according to the third embodiment.
(Step S701)
First, the learning unit 406 determines whether learning of the sleep state of the user U by the objective data acquired by the first data acquisition unit 403 and the data acquired by the second data acquisition unit 404 is sufficient. For this determination, for example, the matching rate at which the sleep state of the user U estimated by the learning unit 406 based on the data acquired by the first data acquisition unit 403 matches the data acquired by the second data acquisition unit 404 Can be determined by whether or not exceeds a predetermined threshold (for example, 90%). Note that this determination method is an example, and it may be determined whether learning of the sleep state of the user U is sufficient by another method.

(Step S702)
When learning of the sleep state of the user U by the learning unit 406 is sufficient (YES in S702), the first data acquisition unit 403 includes the vital data (objective data) of the user U detected by the first sensor group 2. Stop acquisition. Further, the first data acquisition unit 403 instructs the screen data generation unit 410 to present that the acquisition of the vital data (objective data) of the user U has been stopped.

(Step S703)
The screen data generation unit 410 generates screen data indicating that acquisition of vital data (objective data) has been stopped. The screen data generated by the screen data generation unit 410 is transmitted from the communication unit 401 to the user terminal 3 via the network 5. The screen data received by the communication unit 301 of the user terminal 3 is displayed (notified) on the display device 304, and the user U knows that acquisition of objective data has been stopped. Thereby, the user U knows that it is not necessary to prepare the sensor group 2 every time it sleeps for vital data acquisition.

(Step S704)
When the learning of the sleep state of the user U by the learning unit 406 is not sufficient (NO in S702), the first data acquisition unit 403 acquires the vital data (objective data) of the user U detected by the first sensor group 2. Continue. At this time, the fact that vital data acquisition needs to be continued may be displayed on the display device 304 of the user terminal 3 (for example, by a push notification) and presented to the user U.

FIG. 19 is a flowchart illustrating a restart operation for acquiring vital data (objective data) of the user U by the first data acquisition unit 403 of the sleep state determination system 1 according to the third embodiment.
(Step S801)
First, the first data acquisition unit 403 determines whether a predetermined period (for example, one month) has elapsed since the acquisition of vital data (objective data) is stopped.

(Step S802)
If the predetermined period has not elapsed since the acquisition of vital data (objective data) has been stopped (NO in S801), the first data acquisition unit 403 uses the data (subjective data) acquired by the second data acquisition unit 404. It is determined whether there is a change, in other words, some trigger (eg, an event such as a fall in sleep rating (score)). When there is no trigger (event) in the data acquired by the second data acquisition unit 404 (NO in S802), the first data acquisition unit 403 ends the operation without restarting the acquisition of vital data (objective data).

(Step S803)
When a predetermined period has elapsed since the acquisition of vital data (objective data) has been stopped (YES in S801) or when there is a trigger (event) in the objective data acquired by the second data acquisition unit 404 (YES in S802) ), The first data acquisition unit 403 resumes the acquisition of vital data.
Note that in the flow shown in FIG. 19, only one of step S701 and step S702 may be determined.

  As described above, the first data acquisition unit 403 of the sleep state estimation device 4 included in the sleep state determination system according to the third embodiment is based on the learning state of the user U's sleep state by the learning unit 406. Stop acquiring vital data. That is, the sleep state is determined without causing the user U to feel bothersome or mental burden by stopping the acquisition of vital data that requires preparations such as attaching electrodes to the body or installing sensors. Can improve convenience. As a result, it can be expected that the user U will use the system for a longer time. Moreover, since acquisition of subjective data is continued, the accuracy of sleep state determination is ensured.

  In addition, the first data acquisition unit 403 of the sleep state estimation device 4 included in the sleep state determination system according to the third embodiment is based on the objective data acquired by the second data acquisition unit 404 or the passage of a period of time. Resume vital data acquisition for. In other words, acquisition of subjective data continues, and if any trigger (event) occurs, such as a change in sleep state determination based on subjective data (for example, a decline in sleep evaluation), the acquisition of vital data (objective data) is prompted. Then, the acquisition of vital data (objective data) by the first data acquisition unit 403 is resumed to correct the sleep rhythm. For this reason, it can suppress performing determination with a gap having arisen in the determination of the sleep state by having stopped acquisition of vital data (objective data), and can guarantee the accuracy of sleep state determination.

  In the description of the third embodiment, vital data detected by both of the sensors 2A and 2B constituting the sensor group 2 is a subject of acquisition stop / acquisition restart, but attachment of electrodes and the like is necessary. Only vital data acquired by the sensor 2A, which has a greater mental burden on data acquisition, may be subject to acquisition stop / resumption of acquisition.

Further, as learning progresses in the learning unit 406, at least one of the timing of acquiring vital data and the acquired data may be changed. For example, a change in timing for acquiring vital data includes at least the following aspects.
(1) Increase / decrease in the number of times vital data is acquired within a predetermined period (1 week, 1 month, etc.) (2) Increase / decrease in the number of sensors from which vital data is acquired Specifically, for example, every day (7 times a week) ) What is required to acquire vital data includes an aspect in which it becomes better to acquire vital data three times a week or twice a week with the progress of learning in the learning unit 406. In addition, for example, a mode in which acquisition of four types of vital data is required, and acquisition of two types or one type of vital data is improved as the learning unit 406 progresses learning is included. At this time, vital data acquired by the sensor 2A having a greater mental burden for data acquisition may be preferentially subject to data acquisition stop.

  In the above description, the configuration in which the first data acquisition unit 403 stops and restarts the acquisition of vital data is described. However, the sensor group 2 may be configured to stop and restart the detection of data. In this case, for example, when learning by the learning unit 406 is determined to be sufficient, the sensor group 2 is instructed (controlled) to stop detection of vital data via the user terminal 3, and an event (for example, sleep evaluation ( It may be configured to instruct (control) the sensor group 2 to resume detection of vital data via the user terminal 3 when the score) falls.

  In the above description, the configuration in which the first data acquisition unit 403 stops and restarts the acquisition of vital data is described. However, the user terminal 3 receives the data detected by the sensor group 2 or transfers it to the server 4. It is good also as a structure which stops and restarts. In this case, for example, when learning by the learning unit 406 is determined to be sufficient, an instruction (control) to stop transmission of data detected by the sensor group 2 from the server 4 to the user terminal 3 or transfer to the server 4. When an event (for example, a fall in sleep evaluation (score)) occurs, the user terminal 3 may be instructed (controlled) to restart the transmission of data detected by the sensor group 2 or transfer to the server 4. .

  Further, when learning by the learning unit 406 is determined to be sufficient, the user terminal 3 may be configured to present (push notification) to the user U that it is no longer necessary to acquire vital data. The user knows from the push notification from the user terminal 3 that it is not necessary to prepare the sensor group 2 every time he / she sleeps in order to acquire vital data, and the user U turns off the power of the sensor group 2. The detection of vital data is stopped by quitting. Further, when the acquisition of vital data is resumed, the user terminal 3 may be configured to present (push notification) to the user U that the vital data acquisition needs to be resumed. At this time, the reason for restarting the collection of vital data (for example, a fall in sleep evaluation (score)) may be presented together (push notification). The user knows that the vital data acquisition needs to be restarted by the push notification from the user terminal 3, and the user U turns on the power of the sensor group 2 or wears the sensor group 2 so that the vital data is obtained. Detection resumes.

(Other embodiments)
The present invention is not limited to the structures and shapes of the above-described embodiments, and can be embodied by appropriately modifying the design without departing from the gist thereof. For example, you may combine the structure with which the sleep state determination system of 1st-3rd embodiment is provided. For example, while changing at least one of the timing and contents of data acquisition by the first data acquisition unit 403, at least one of the timing and contents of data acquisition by the second data acquisition unit 404 is changed, that is, the question presentation by the question presentation unit 407 It is good also as a structure which changes at least one of the timing and question content. Moreover, you may make it determine a sleep state comprehensively based on the data acquired in the 1st-3rd data acquisition part 403,404,412.

  As described above, the present invention can provide a sleep state determination device, a sleep state determination method, a sleep state determination system, and a sleep state determination program that can appropriately determine a user's sleep state.

DESCRIPTION OF SYMBOLS 1 Sleep state determination system 2 1st sensor group 3 User terminal 4 Server (sleep state determination apparatus)
5 network 6 sleep state determination system 7 second sensor group 301 communication unit 302 storage device 303 input device 304 display device 305 control unit 401 communication unit 402 storage device 403 first data acquisition unit 404 second data acquisition unit 405 determination unit (first 1, second determination unit)
406 Learning unit 407 Question presentation unit 408 Notification unit
409 Advice presentation unit 410 Screen data generation unit 411 Control unit 412 Third data acquisition unit 413 Environment control unit

Claims (11)

A sleep state determination device for determining a user's sleep state,
A first data acquisition unit for acquiring vital data of the user during sleep;
A second data acquisition unit for acquiring subjective data of the user with respect to sleep;
A first determination unit that determines the sleep state of the user based on the data acquired by the first and second data acquisition units;
A learning unit that learns the sleep state of the user based on data acquired by the first data acquisition unit and the second data acquisition unit;
A question presenting unit for presenting a question for obtaining the subjective data,
The question presenting unit
The sleep state determination apparatus characterized by changing at least one of the question presentation timing and the presentation content based on a learning state of the user's sleep state by the learning unit. The question presenting unit
On the basis of the learning condition of the sleeping state of the user by the learning section, a sleep state determining apparatus according to claim 1, characterized in that stop the presentation of questions to the user. The question presenting unit
The sleep state determination device according to claim 2 , wherein the question presentation is resumed based on at least one of vital data acquired by the first data acquisition unit or the passage of a period. The first data acquisition unit includes:
On the basis of by the learning unit learning state of sleep state of the user, the sleep state determining apparatus according to claim 1, characterized in that stopping the acquisition of vital data of the user. The first data acquisition unit includes:
The sleep state determination apparatus according to claim 4 , wherein the acquisition of the vital data is resumed based on subjective data acquired by the second data acquisition unit or a lapse of a period. The learning unit
Based on the attributes of the user, the learning contents of the sleeping state of the user, any one of claims 1 to 5, characterized in that to reflect the learning contents of the sleep state of the different other users with the user The sleep state determination apparatus according to claim 1. If there is abnormality in at least one of data of said first and second data acquisition unit, according to any one of claims 1 to 6, characterized in that it comprises a notifying unit for notifying an alert to the user Sleep state determination device. Depending on the learning content of each user to be learned by the learning portion, sleep according to any one of claims 1 to 7, characterized in that it comprises a presentation unit for presenting the advice to sleep for each of said user State determination device. A sleep state determination method for determining a user's sleep state,
The first data acquiring section, a step of acquiring the vital data of the user during sleep,
The second data acquiring section, a step of acquiring the subjective data of the user on sleep,
First determining unit, the first, on the basis of the data obtained by the second data acquisition unit, and determining a sleep state of the user,
A step of learning a sleep state of the user based on data acquired by the first data acquisition unit and the second data acquisition unit;
A question presenting unit presenting a question for obtaining the subjective data,
The question presenting unit
A sleep state determination method characterized by changing at least one of the question presentation timing and the presentation content based on the learning state of the user's sleep state by the learning unit . A sleep state determination program for determining a user's sleep state,
Computer
A first data acquisition unit for acquiring vital data of the user during sleep;
A second data acquisition unit for acquiring subjective data of the user with respect to sleep;
A first determination unit that determines a sleep state of the user based on data acquired by the first and second data acquisition units;
A learning unit that learns the sleep state of the user based on data acquired by the first data acquisition unit and the second data acquisition unit;
Operate as a question presenting unit that presents a question for obtaining the subjective data,
The question presenting unit
A sleep state determination program that operates to change at least one of the question presentation timing and the presentation content based on the learning state of the user's sleep state by the learning unit . A sleep state determination system for determining a user's sleep state,
A sensor for detecting vital data of the user during sleep;
A terminal that accepts input of subjective data of the user for sleep;
A first data acquisition unit that acquires the vital data from the sensor, a second data acquisition unit that acquires the subjective data input to the terminal, and data acquired by the first and second data acquisition units. A first determination unit that determines the sleep state of the user, and a learning unit that learns the sleep state of the user based on data acquired by the first data acquisition unit and the second data acquisition unit; , have a, a sleep state determining apparatus and a question presentation section for presenting the questions to obtain the subjective data,
The question presenting unit
The sleep state determination system , wherein at least one of the question presentation timing and the presentation content is changed based on a learning state of the user's sleep state by the learning unit .