Sleep evaluation method, sleep evaluation system, and program

Abstract

The present invention: determines weighting information (124) for an individual evaluation standard (122) and a general evaluation standard (123), said individual evaluation standard being determined on the basis of a sleep history (121) including the history of specific sleep information pertaining to the sleep of a specific user (100) and the general evaluation standard being determined on the basis of sleep information pertaining to the sleep of a plurality of users (200); and uses the individual evaluation standard (122), the general evaluation standard (123), and the weighting information (124) and executes evaluation processing that makes an evaluation pertaining to the sleep of the specific user (100) from the specific sleep information.

Description

Technical Field

[0001] The present disclosure generally relates to a sleep evaluation method, a sleep evaluation system, a terminal device, and a program. In particular, the present disclosure relates to a sleep evaluation method, a sleep evaluation system, a terminal device, and a program for evaluating the sleep of a specific user.

Background Art

[0002] Patent Document 1 discloses a sleep state determination device (sleep evaluation system) for determining a user's sleep state. The sleep state determination device of Patent Document 1 includes a first data acquisition unit that acquires vital data of a user during sleep, and a second data acquisition unit that acquires subjective data of the user regarding sleep. The sleep state determination device of Patent Document 1 includes a first determination unit that determines the user's sleep state based on the data acquired by the first and second data acquisition units.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In Patent Document 1, the sleep state is determined based on the user's subjectivity. However, for an appropriate evaluation of sleep, the user's subjectivity alone is insufficient.

[0005] The problem is to provide a sleep evaluation method, a sleep evaluation system, a terminal device, and a program that can improve the appropriateness of the evaluation regarding sleep.

Means for Solving the Problems

[0006] One aspect of the present disclosure is a sleep evaluation method, which determines individual evaluation criteria determined based on a sleep history including a history of specific sleep information regarding the sleep of a specific user, and weight information of general evaluation criteria determined based on sleep information regarding the sleep of a plurality of users, and performs an evaluation process for evaluating the sleep of the specific user from the specific sleep information using the individual evaluation criteria, the general evaluation criteria, and the weight information.

[0007] One aspect of the present disclosure is a sleep evaluation system, which includes a weight determination unit that determines individual evaluation criteria determined based on a sleep history including a history of specific sleep information regarding the sleep of a specific user, and weight information of general evaluation criteria determined based on sleep information regarding the sleep of a plurality of users, and an evaluation unit that performs an evaluation process for evaluating the sleep of the specific user from the specific sleep information using the individual evaluation criteria, the general evaluation criteria, and the weight information.

[0008] One aspect of the present disclosure is a sleep evaluation system, which includes a server and a terminal device communicable with the server. The server includes a weight determination unit that determines individual evaluation criteria determined based on a sleep history including a history of specific sleep information regarding the sleep of a specific user, and weight information of general evaluation criteria determined based on sleep information regarding the sleep of a plurality of users, and an evaluation unit that performs an evaluation process for evaluating the sleep of the specific user from the specific sleep information using the individual evaluation criteria, the general evaluation criteria, and the weight information. The terminal device includes a communication unit communicable with the server, an output unit that outputs information from the terminal device, and a processing unit that controls the communication unit and the output unit. The processing unit receives the result of the evaluation process from the evaluation unit of the server through the communication unit, and outputs the result of the evaluation process through the output unit.

[0009] One aspect according to the present disclosure is a terminal device capable of communicating with a server. The server includes a weight determination unit that determines individual evaluation criteria determined based on a sleep history including a history of specific sleep information related to the sleep of a specific user, and weight information of general evaluation criteria determined based on sleep information related to the sleep of a plurality of users, and an evaluation unit that executes an evaluation process for evaluating the sleep of the specific user from the specific sleep information using the individual evaluation criteria, the general evaluation criteria, and the weight information. The terminal device further includes a communication unit capable of communicating with the server, an output unit that outputs information from the terminal device, and a processing unit that controls the communication unit and the output unit. The processing unit receives the result of the evaluation process from the evaluation unit of the server through the communication unit and outputs the result of the evaluation process through the output unit.

[0010] One aspect according to the present disclosure is a program for causing one or more processors to execute a sleep evaluation method for determining individual evaluation criteria determined based on a sleep history including a history of specific sleep information related to the sleep of a specific user, and weight information of general evaluation criteria determined based on sleep information related to the sleep of a plurality of users, and executing an evaluation process for evaluating the sleep of the specific user from the specific sleep information using the individual evaluation criteria, the general evaluation criteria, and the weight information.

[0011] One aspect of the present disclosure is a program including a server and a terminal device communicable with the server. The server includes a weight determination unit that determines individual evaluation criteria determined based on a sleep history including a history of specific sleep information regarding a specific user's sleep and weight information of general evaluation criteria determined based on sleep information regarding a plurality of users' sleep, and an evaluation unit that executes an evaluation process for evaluating the specific user's sleep from the specific sleep information using the individual evaluation criteria, the general evaluation criteria, and the weight information. The terminal device includes a communication unit communicable with the server, an output unit that outputs information from the terminal device, and a processing unit that controls the communication unit and the output unit. The processing unit causes one or more processors of the processing unit of the terminal device in the sleep evaluation system to execute a step of receiving, by the communication unit, a result of the evaluation process from the evaluation unit of the server, and a step of outputting, by the output unit, the result of the evaluation process.

Effect of the Invention

[0012] According to an aspect of the present disclosure, there is an effect that the appropriateness of the evaluation regarding sleep can be improved.

Brief Description of the Drawings

[0013]

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DETAILED DESCRIPTION OF THE INVENTION

[0014] (1) Embodiment (1-1) Overview FIG. 1 is an explanatory diagram of a sleep evaluation system 1 according to an embodiment. The sleep evaluation system 1 is a system for evaluating the sleep of a specific user 100. In this embodiment, the specific user 100 is one of a plurality of users 200.

[0015] As shown in FIG. 2, the sleep evaluation system 1 includes an evaluation criterion determination unit 132 and an evaluation unit 134. The evaluation criterion determination unit 132 determines individual evaluation criteria 122 based on a sleep history 121 including a history of specific sleep information regarding the sleep of the specific user 100. The evaluation unit 134 executes an evaluation process for evaluating the sleep of the specific user 100 from the specific sleep information by using the individual evaluation criteria 122 and the general evaluation criteria 123 determined based on the sleep information of the plurality of users 200 in combination.

[0016] According to the sleep evaluation system 1 of this embodiment, the evaluation of the sleep of the specific user 100 is performed by using the individual evaluation criteria 122 and the general evaluation criteria 123 in combination. Therefore, in the sleep evaluation system 1, an evaluation with objectivity can be performed more than when evaluating only using the individual evaluation criteria 122. Furthermore, in the sleep evaluation system 1, an evaluation suitable for the specific user 100 can be performed more than when evaluating only using the general evaluation criteria 123. Thus, according to the sleep evaluation system 1, it is possible to evaluate the sleep of the specific user 100 by comparing and weighing the evaluation result by the individual evaluation criteria 122 and the evaluation result by the general evaluation criteria 123. Therefore, according to the sleep evaluation system 1, it is possible to improve the appropriateness of the evaluation regarding sleep. In particular, by using the individual evaluation criteria 122, the evaluation result and the perception of the specific user 100 are likely to match, and as a result, an improvement in the satisfaction of the specific user 100 with respect to the sleep evaluation by the sleep evaluation system 1 can be expected. On the other hand, by using the general evaluation criteria 123, it is possible to evaluate sleep taking into account an ideal sleep state considered academically good, obtained from the sleep information of the plurality of users 200, and an effect of sleep improvement can be expected.

[0017] (1-2) Details Hereinafter, the sleep evaluation system 1 of the present embodiment will be described in more detail with reference to the drawings.

[0018] The sleep evaluation system 1 can be connected via a communication network 40 to a terminal device 20. Note that the communication network 40 may include the Internet. The communication network 40 may be composed not only of a network compliant with a single communication protocol but also of a plurality of networks compliant with different communication protocols. The communication protocol can be selected from various well-known wired and wireless communication standards. Although simplified in FIG. 1, the communication network may include data communication devices such as a repeater hub, a switching hub, a bridge, a gateway, and a router.

[0019] The terminal device 20 is an information terminal. The terminal device 20 is, for example, a smartphone. Note that the terminal device 20 is not limited to a smartphone and may be a portable information terminal such as a tablet terminal, a personal computer (such as a desktop computer or a laptop computer), or a smart TV.

[0020] As shown in FIG. 3, the terminal device 20 includes an input unit 21, an output unit 22, a communication unit 23, and a processing unit 24.

[0021] The input unit 21 is used to input information to the terminal device 20. The input unit 21 includes an input device for operating the terminal device 20, a voice input device, and a camera. The input device has, for example, a touch pad and / or one or more buttons. The input device is not limited to a touch pad and may be a keyboard, a pointing device, a mechanical switch, or the like. The input unit 21 may include a plurality of input devices.

[0022] The output unit 22 is used to output information from the terminal device 20. The output unit 22 includes an output device for presenting the information viewed on the terminal device 20. The output device includes an image display device for displaying the information viewed on the terminal device 20. The image display device is a thin display device such as a liquid crystal display or an organic EL display. Note that a touch panel may be configured by the touch pad of the input unit 21 and the image display device of the output unit 22. The output device may include an audio output device for outputting the information viewed on the terminal device 20 as sound.

[0023] The communication unit 23 can be connected to the communication network 40 and has a function of performing communication through the communication network 40. The communication unit 23 can communicate with the server 10. The communication unit 23 complies with a predetermined communication protocol. The predetermined communication protocol can be selected from various well-known wired and wireless communication standards.

[0024] The processing unit 24 can be realized by, for example, a computer system including one or more processors (microprocessors) and one or more memories. The processing unit 24 can be realized by, for example, a computer system including one or more processors (microprocessors) and one or more memories. That is, by one or more processors executing one or more (computer) programs (applications) stored in one or more memories, it functions as the processing unit 24. The program is recorded in advance in the memory of the processing unit 24 here, but may be provided by being recorded through an electric communication line such as the Internet or on a non-temporary recording medium such as a memory card.

[0025] The processing unit 24 is configured to control the entire terminal device 20, that is, to control the input unit 21, the output unit 22, and the communication unit 23. The processing unit 24 has a function of transmitting the information input in response to the operation of the input unit 21 to the sleep evaluation system 1 through the communication network 40 from the communication unit 23. The processing unit 24 has a function of receiving, through the communication network 40, information (the result of the evaluation process of the evaluation unit 134) from the sleep evaluation system 1 by the communication unit 23. The processing unit 24 has a function of outputting the information (the result of the evaluation process of the evaluation unit 134) from the sleep evaluation system 1 by the output unit 22. Thus, the processing unit 24 receives the result of the evaluation process from the evaluation unit 134 of the server 10 by the communication unit 23 and outputs the result of the evaluation process by the output unit 22. The functions of the processing unit 24 are realized by one or more processors of the processing unit 24 executing a program.

[0026] In the present embodiment, the terminal device 20 can communicate with the sensor 30 shown in FIG. 1. The sensor 30 is used to acquire sleep information regarding the sleep of the user 200 (including the specific user 100). Here, the sleep information regarding the specific user 100 is referred to as specific sleep information. The sensor 30 is a so-called sleep meter. Examples of the sleep meter include a stationary sleep meter, a mat-type sleep meter, and a wearable sleep meter. In the present embodiment, the sensor 30 is a wearable sleep meter. In the present embodiment, the terminal device 20 acquires sleep information from the sensor 30 by communicating with the sensor 30. As a result, the specific user 100 can confirm his / her own sleep information using the terminal device 20. The sleep information includes one or more indicators regarding sleep. In the present embodiment, the sleep information includes a plurality of indicators regarding sleep. The plurality of indicators regarding sleep are sleep time, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state immediately before waking up, and proportion of deep sleep. Note that since a conventionally well-known sleep meter can be used as the sensor 30, detailed description thereof is omitted.

[0027] As shown in FIG. 2, the sleep evaluation system 1 includes a communication unit 11, a storage unit 12, and a processing unit 13. The sleep evaluation system 1 can be realized, for example, by the server 10.

[0028] The communication unit 11 is a communication interface. The communication unit 11 can be connected to the communication network 40 and has a function of performing communication through the communication network 40. The communication unit 11 complies with a predetermined communication protocol. The predetermined communication protocol can be selected from various well-known wired and wireless communication standards. The communication unit 11 is communicatively connected to the terminal device 20. Thereby, the sleep evaluation system 1 can communicate with the terminal device 20.

[0029] The storage unit 12 is used to store information used by the processing unit 13 and information generated by the processing unit 13. For example, the storage unit 12 stores a sleep history 121, individual evaluation criteria 122, general evaluation criteria 123, and weight information 124. The storage unit 12 includes one or more storage devices. The storage device is, for example, a RAM (Random Access Memory) or an EEPROM (Electrically Erasable Programmable Read Only Memory).

[0030] The general evaluation criteria 123 are determined based on sleep information regarding the sleep of a plurality of users 200. The general evaluation criteria 123 include evaluation conditions for determining an evaluation value regarding sleep. The evaluation conditions are set based on sleep information regarding the sleep of a plurality of users 200. Here, the evaluation conditions are set such that the higher the quality of sleep, the higher the evaluation value. In the present embodiment, the evaluation value is represented by a score. The result of the sleep evaluation using the general evaluation criteria 123 is represented by 0 to 100 points.

[0031] The general evaluation criteria 123 include the evaluation criteria for each of a plurality of items related to sleep. The evaluation conditions are set for each evaluation criterion. The general evaluation criteria 123 include the evaluation conditions for each evaluation criterion. In this embodiment, the sleep information includes sleep duration, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep. The plurality of items related to sleep correspond to sleep duration, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep. The general evaluation criteria 123 include the evaluation conditions for sleep duration, the evaluation conditions for sleep efficiency, the evaluation conditions for sleep latency, the evaluation conditions for the number of awakenings during sleep, the evaluation conditions for the state just before waking up, and the evaluation conditions for the proportion of deep sleep. The result of the sleep evaluation using the general evaluation criteria 123 is the sum of the evaluation value (sleep duration evaluation value) Vg1 according to the evaluation conditions for sleep duration, the evaluation value (sleep efficiency evaluation value) Vg2 according to the evaluation conditions for sleep efficiency, the evaluation value (sleep latency evaluation value) Vg3 according to the evaluation conditions for sleep latency, the evaluation value (number of awakenings during sleep evaluation value) Vg4 according to the evaluation conditions for the number of awakenings during sleep, the evaluation value (state just before waking up evaluation value) Vg5 according to the evaluation conditions for the state just before waking up, and the evaluation value (proportion of deep sleep evaluation value) Vg6 according to the evaluation conditions for the proportion of deep sleep. Therefore, if the result of the sleep evaluation using the general evaluation criteria 123 is Vg, then Vg = ΣVgn (n = 1 to 6).

[0032] The evaluation conditions for sleep duration are the conditions for converting the sleep duration into an evaluation value. The evaluation conditions for sleep duration are set such that if the sleep duration is within an appropriate range, the evaluation value is high, and if the sleep duration is shorter or longer than the appropriate range, the evaluation value becomes lower. In this embodiment, 30 points out of 100 points are assigned to the evaluation value of sleep duration. As an example, in the evaluation conditions for sleep duration, if the sleep duration is 6 hours or more and 9 hours or less, the evaluation value is 30 points. If the sleep duration is 3 hours or less or 12 hours or more, the evaluation value is 0 points. In the range of 3 hours to 6 hours of sleep duration, as the sleep duration increases, the evaluation value monotonically increases from 0 points to 30 points. In the range of 9 hours to 12 hours of sleep duration, as the sleep duration increases, the evaluation value monotonically decreases from 30 points to 0 points.

[0033] The evaluation conditions for sleep efficiency are the conditions for converting sleep efficiency into an evaluation value. The evaluation conditions for sleep efficiency are set such that the higher the sleep efficiency, the higher the evaluation value. In this embodiment, 30 out of 100 points are assigned to the evaluation value of sleep efficiency. As an example, in the evaluation conditions for sleep efficiency, when the sleep efficiency is 0% or more and 50% or less, the evaluation value is 0 points. When the sleep efficiency is in the range of 50% to 95%, the evaluation value monotonically increases from 0 points to 30 points as the sleep efficiency increases. When the sleep efficiency is 95% or more and 100% or less, the evaluation value is 30 points.

[0034] The evaluation conditions for sleep latency are the conditions for converting sleep latency into an evaluation value. The evaluation conditions for sleep latency are set such that if the sleep latency is within an appropriate range, the evaluation value is high, and the evaluation value decreases as the sleep latency is shorter or longer than the appropriate range. In this embodiment, 10 out of 100 points are assigned to the evaluation value of sleep latency. As an example, in the evaluation conditions for sleep latency, if the sleep latency is 10 minutes or more and 30 minutes or less, the evaluation value is 10 points. If the sleep latency is 60 minutes or more, the evaluation value is 0 points. In the range of 0 minutes to 10 minutes of sleep latency, the evaluation value monotonically increases from 5 points to 10 points as the sleep latency increases. In the range of 30 minutes to 60 minutes of sleep latency, the evaluation value monotonically decreases from 10 points to 0 points as the sleep latency increases.

[0035] The evaluation conditions for the number of awakenings during sleep are the conditions for converting the number of awakenings during sleep into an evaluation value. The evaluation conditions for the number of awakenings during sleep are set such that the fewer the number of awakenings during sleep, the higher the evaluation value. In this embodiment, 10 out of 100 points are assigned to the evaluation value of the number of awakenings during sleep. As an example, in the evaluation conditions for the number of awakenings during sleep, when the number of awakenings during sleep is 0, the evaluation value is 10 points. When the number of awakenings during sleep is 1, the evaluation value is 7 points. When the number of awakenings during sleep is 2, the evaluation value is 5 points. When the number of awakenings during sleep is 3 or more, the evaluation value is 0 points.

[0036] The evaluation conditions for the state immediately before waking up are the conditions for converting the state immediately before waking up into an evaluation value. The evaluation conditions for the state immediately before waking up are set according to the state immediately before waking up. The state immediately before waking up refers to the sleep stage at the time of waking up. The sleep stage includes a period of rapid eye movement (REM sleep period) and a period of non-rapid eye movement (non-REM sleep period), and the non-rapid eye movement period (non-REM sleep period) is divided into a period of light sleep and a period of deep sleep. In this embodiment, the state immediately before waking up includes the REM sleep period, the light sleep period, the deep sleep period, and an abnormal value. The abnormal value is the case where it does not correspond to any of the REM sleep period, the light sleep period, and the deep sleep period. In this embodiment, 10 out of 100 points are assigned to the evaluation value of the state immediately before waking up. As an example, in the evaluation conditions for the state immediately before waking up, when the state immediately before waking up is the REM sleep period, the evaluation value is 5 points. When the state immediately before waking up is the light sleep period, the evaluation value is 10 points. When the state immediately before waking up is the deep sleep period, the evaluation value is 0 points. When the state immediately before waking up is an abnormal value, the evaluation value is 5 points.

[0037] The evaluation conditions for the proportion of deep sleep are the conditions for converting the proportion of deep sleep into an evaluation value. The evaluation conditions for the proportion of deep sleep are set such that the higher the proportion of deep sleep, the higher the evaluation value. In this embodiment, 10 out of 100 points are assigned to the evaluation value of the proportion of deep sleep. As an example, in the evaluation conditions for the proportion of deep sleep, when the proportion of deep sleep is 0% or more and 30% or less, the evaluation value is 0 points. When the proportion of deep sleep is in the range of 30% to 50%, the evaluation value monotonically increases from 0 points to 10 points as the proportion of deep sleep increases. When the proportion of deep sleep is 50% or more and 100% or less, the evaluation value is 10 points.

[0038] The processing unit 13 is configured to control the overall operation of the sleep evaluation system 1, that is, to control the communication unit 11 and the storage unit 12. The processing unit 13 can be implemented by, for example, a computer system including one or more processors (microprocessors) and one or more memories. That is, by one or more processors executing one or more (computer) programs (applications) stored in one or more memories, it functions as the processing unit 13. The program is recorded in advance in the memory of the processing unit 13 here, but may be provided by being recorded through a telecommunication line such as the Internet or a non-temporary recording medium such as a memory card.

[0039] As shown in FIG. 2, the processing unit 13 includes an acquisition unit 131, an evaluation criterion determination unit 132, a weight determination unit 133, an evaluation unit 134, and a presentation unit 135. In FIG. 2, the acquisition unit 131, the evaluation criterion determination unit 132, the weight determination unit 133, the evaluation unit 134, and the presentation unit 135 do not show physical configurations, but show functions realized by the processing unit 13.

[0040] The acquisition unit 131 acquires specific sleep information. The specific sleep information is sleep information related to the sleep of the specific user 100. As described above, in this embodiment, the terminal device 20 communicates with the sensor 30 to acquire specific sleep information from the sensor 30. Therefore, the acquisition unit 131 can acquire specific sleep information from the terminal device 20. The acquisition unit 131 stores the specific sleep information acquired from the terminal device 20 in the storage unit 12. The sleep history 121 stored in the storage unit 12 is a history of specific sleep information.

[0041] The evaluation criterion determination unit 132 determines the individual evaluation criterion 122 based on the sleep history 121 including the history of specific sleep information related to the sleep of the specific user 100.

[0042] The individual evaluation criteria 122 include the evaluation criteria for each of a plurality of items related to sleep. The evaluation conditions are set for each evaluation criterion. The individual evaluation criteria 122 include the evaluation conditions for each evaluation criterion. The plurality of items related to sleep in the individual evaluation criteria 122 are the same as the plurality of items related to sleep in the general evaluation criteria 123. Therefore, the plurality of items related to sleep in the individual evaluation criteria 122 correspond to sleep duration, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep. Similar to the general evaluation criteria 123, the individual evaluation criteria 122 include the evaluation conditions for sleep duration, the evaluation conditions for sleep efficiency, the evaluation conditions for sleep latency, the evaluation conditions for the number of awakenings during sleep, the evaluation conditions for the state just before waking up, and the evaluation conditions for the proportion of deep sleep. The result of the sleep evaluation using the individual evaluation criteria 122 is the sum of the evaluation values (sleep duration evaluation value) Vs1 according to the evaluation conditions for sleep duration, the evaluation value (sleep efficiency evaluation value) Vs2 according to the evaluation conditions for sleep efficiency, the evaluation value (sleep latency evaluation value) Vs3 according to the evaluation conditions for sleep latency, the evaluation value (number of awakenings during sleep evaluation value) Vs4 according to the evaluation conditions for the number of awakenings during sleep, the evaluation value (state just before waking up evaluation value) Vs5 according to the evaluation conditions for the state just before waking up, and the evaluation value (proportion of deep sleep evaluation value) Vs6 according to the evaluation conditions for the proportion of deep sleep. Therefore, if the result of the sleep evaluation using the individual evaluation criteria 122 is Vs, then Vs = ΣVsn (n = 1 to 6).

[0043] In this embodiment, the evaluation criterion determination unit 132 determines the individual evaluation criterion 122 such that the statistical information regarding the evaluation value obtained from the sleep history 121 satisfies a predetermined condition. The evaluation criterion determination unit 132 determines, with respect to the individual evaluation criterion 122, the evaluation conditions for sleep duration, sleep efficiency, sleep latency, number of mid-sleep awakenings, state immediately before waking up, and proportion of deep sleep. When determining the individual evaluation criterion 122, the evaluation criterion determination unit 132 uses the general evaluation criterion 123. The evaluation criterion determination unit 132 uses the general evaluation criterion 123 to obtain the evaluation value of the sleep information (specific sleep information) included in the sleep history 121 for each evaluation condition. The evaluation criterion determination unit 132 obtains the statistical information of the evaluation value for each evaluation condition. The statistical information may include the average value, variance value, and standard deviation of the evaluation value. If the average value, variance value, and standard deviation included in the statistical information are within the predetermined ranges respectively defined, it is determined that the statistical information satisfies the predetermined condition. The evaluation criterion determination unit 132 adjusts the evaluation conditions so that the statistical information satisfies the predetermined condition.

[0044] As an example, the method of determining the evaluation condition for the number of mid-sleep awakenings is shown. The evaluation condition of the general evaluation criterion 123 is as shown in Table 1 below.

[0045]

Table 1

[0046] The evaluation criterion determination unit 132 obtains the evaluation value of the sleep information (specific sleep information) included in the sleep history 121 by using the evaluation condition of the number of mid-sleep awakenings in the general evaluation criterion 123. Further, the evaluation criterion determination unit 132 obtains the statistical information of the evaluation value. Here, the statistical information includes the average value and the standard deviation of the evaluation value. The evaluation criterion determination unit 132 searches for the evaluation condition of the number of mid-sleep awakenings such that the average value is in the range of 7.4 to 7.7 and the standard deviation is in the range of 2.8 to 3.2. Specifically, the evaluation criterion determination unit 132 generates an evaluation condition with the evaluation value for the number of mid-sleep awakenings changed, obtains the statistical information of the evaluation value according to the generated evaluation condition, and determines whether the obtained statistical information satisfies a predetermined condition. The evaluation criterion determination unit 132 repeats the process of changing the evaluation value for the number of mid-sleep awakenings until an evaluation condition that satisfies the predetermined condition is obtained for the statistical information. Thereby, the evaluation criterion determination unit 132 determines the evaluation condition of the number of mid-sleep awakenings to be used as the individual evaluation criterion 122. For example, when the statistical information obtained according to the evaluation condition shown in Table 2 below satisfies the predetermined condition, the evaluation criterion determination unit 132 adopts the evaluation condition shown in Table 2 below.

[0047]

Table 2

[0048] The evaluation criterion determination unit 132 determines the individual evaluation criterion 122 when a certain amount of specific sleep information is accumulated. In the present embodiment, the evaluation criterion determination unit 132 determines the individual evaluation criterion 122 when the number of days of the specific sleep information included in the sleep history 121 reaches a predetermined number of days. The predetermined number of days may be the number of days when a sufficient amount of specific sleep information for determining the individual evaluation criterion 122 is obtained. As an example, the predetermined number of days may be 30 days or more.

[0049] The individual evaluation criterion 122 determined by the evaluation criterion determination unit 132 is stored in the storage unit 12.

[0050] The weight determination unit 133 determines the weight information 124 of the general evaluation criteria 123 and the individual evaluation criteria 122. In this embodiment, the weight information 124 is information for weighting the evaluation values. Each of the general evaluation criteria 123 and the individual evaluation criteria 122 includes evaluation criteria for each of a plurality of items related to sleep. The weight information 124 includes the weights for each of the plurality of evaluation criteria. The weight is a coefficient (weight coefficient) that is multiplied by the evaluation value. Here, for the same evaluation value, if the weight coefficient for the individual evaluation criteria 122 is ws and the weight coefficient for the general evaluation criteria 123 is wg, then ws is a value between 0 and 1, and ws + wg = 1. More specifically, the weight information 124 includes weight coefficients ws1, ws2, ws3, ws4, ws5, ws6 corresponding to the sleep time evaluation value Vs1, the sleep efficiency evaluation value Vs2, the sleep latency evaluation value Vs3, the number of mid - sleep awakenings evaluation value Vs4, the state evaluation value Vs5 immediately before waking up, and the deep sleep ratio evaluation value Vs6 of the individual evaluation criteria 122 respectively. The weight information 124 includes weight coefficients wg1, wg2, wg3, wg4, wg5, wg6 corresponding to the sleep time evaluation value Vg1, the sleep efficiency evaluation value Vg2, the sleep latency evaluation value Vg3, the number of mid - sleep awakenings evaluation value Vg4, the state evaluation value Vg5 immediately before waking up, and the deep sleep ratio evaluation value Vg6 of the general evaluation criteria 123 respectively. Here, wsn (n = 1 to 6) are all values between 0 and 1, and wsn+wgn = 1 (n = 1 to 6).

[0051] The weight determination unit 133 determines the weight information 124 (ws1 to ws6, wg1 to wg6) based on the result of comparison between the first representative value and the second representative value.

[0052] The first representative value is a representative value of the result of evaluating the sleep of the specific user 100 using the general evaluation criteria 123. The representative value can be appropriately selected from the maximum value, the minimum value, the average value, the mode value, etc. In this embodiment, the representative value is the average value. For example, the weight determination unit 133Using the general evaluation criteria 123, a plurality of evaluation results (evaluation values) regarding the sleep of the specific user 100 are obtained from a plurality of specific sleep information, and the representative value of the plurality of results (evaluation values) is used as the first representative value. As an example, if the evaluation value is the sleep efficiency evaluation value Vg2, the first representative value is the average value of the sleep efficiency evaluation value Vg2. The weight determination unit 133 obtains the first representative value when the number of specific sleep information included in the sleep history 121 reaches a predetermined number. In other words, the weight determination unit 133 performs an evaluation using the general evaluation criteria 123 on the specific sleep information accumulated during a predetermined period (a period of a predetermined number of days), and obtains a representative value (the first representative value) of a plurality of evaluation results (evaluation values) for the specific user 100.

[0053] The second representative value is the representative value of the evaluation results regarding the sleep of a plurality of users 200 using the general evaluation criteria 123. The representative value can be appropriately selected from the maximum value, minimum value, average value, mode value, etc. In the present embodiment, the representative value is the average value. For example, the weight determination unit 133 Using the general evaluation criteria 123, a plurality of evaluation results (evaluation values) regarding the sleep of a plurality of users 200 are obtained from the sleep information regarding the plurality of users 200, and the representative value of the plurality of results (evaluation values) is used as the second representative value. As an example, if the evaluation value is the sleep efficiency evaluation value Vg2, the second representative value is the average value of the sleep efficiency evaluation value Vg2. The sleep information regarding the plurality of users 200 is preferably the sleep information accumulated during the same predetermined period as the specific sleep information.

[0054] In this way, the weight determination unit 133 determines the weight information 124 (ws1 to ws6, wg1 to wg6) based on the evaluation result (the first representative value) regarding the sleep of the specific user 100 using the general evaluation criteria 123 based on the specific sleep information accumulated for a certain number of days or more, and the evaluation result (the second representative value) regarding the sleep of a plurality of users 200 (ordinary people) using the general evaluation criteria 123.

[0055] If the first representative value and the second representative value are equal, the weights (ws1 to ws6) of the individual evaluation criteria 122 are set to the specified values. If there is no significant difference between the first representative value and the second representative value, they may be considered equal. As an example, the specified value is 0.7. If the first representative value is better than the second representative value, the weights (ws1 to ws6) of the individual evaluation criteria 122 are set to values smaller than the specified value. As an example, a value smaller than the specified value is 0.3. If the first representative value is worse than the second representative value, the weights (ws1 to ws6) of the individual evaluation criteria 122 are set to values larger than the specified value. As an example, a value larger than the specified value is 10.

[0056] The weight determination unit 133 uses the weight information 124 (ws1 to ws6, wg1 to wg6) determined in this way as the target weight information 124, and reflects the target weight information 124 in the evaluation from the current weight information 124 over a transition time. The transition time is, for example, about one week, and gradually changes the weight information 124 from the current value to the target value. For example, the weight may be changed linearly from the current value to the target value, or may be changed curvilinearly. This can prevent the specific user 100 from feeling the change in the evaluation value due to the change in the weight information 124. Thus, in this embodiment, when the weight determination unit 133 determines the weight information (target weight information) 124, it reflects the target weight information 124 in the evaluation over a transition time.

[0057] The weight determination unit 133 updates the weight information 124 when a predetermined condition is satisfied. Examples of the predetermined condition include that the number of days of the specific sleep information included in the sleep history 121 has increased by the specified number of days. The predetermined condition may also be when an instruction to update the weight information 124 is received. The instruction to update the weight information 124 can be issued by the terminal device 20.

[0058] The evaluation unit 134 executes an evaluation process. The evaluation process is a process of evaluating the sleep of the specific user 100 from the specific sleep information by using both the individual evaluation criteria 122 and the general evaluation criteria 123. The evaluation unit 134 performs the evaluation process by using the weight information 124. The evaluation unit 134 obtains Vs1 to Vs6 from the specific sleep information by using the individual evaluation criteria 122. The evaluation unit 134 obtains Vg1 to Vg6 from the specific sleep information by using the general evaluation criteria 123. The evaluation unit 134 weights Vs1 to Vs6 and Vg1 to Vg6 according to the weight information 124 to evaluate the sleep of the specific user 100. If the result of the evaluation of the sleep of the specific user 100 is Vt, then Vt = ΣVsn×wsn + Vgn×wgn. For example, if Vs1 is 27 points, Vs2 is 20 points, Vs3 is 7 points, Vs4 is 8 points, Vs5 is 6 points, and Vs6 is 5 points, then the result Vs of the evaluation of the sleep of the specific user 100 using the individual evaluation criteria 122 is 73 points. For example, if Vg1 is 20 points, Vg2 is 17 points, Vg3 is 7 points, Vg4 is 8 points, Vg5 is 6 points, and Vg6 is 7 points, then the result Vg of the evaluation of the sleep of the specific user 100 using the general evaluation criteria 123 is 65 points. When ws1 to ws6 are all 0.7, the result Vt of the evaluation of the sleep of the specific user 100 using both the individual evaluation criteria 122 and the general evaluation criteria 123 is 70.6.

[0059] In the evaluation process, the evaluation unit 134 obtains the result Vt of the evaluation of the sleep of the specific user 100 by using both the individual evaluation criteria 122 and the general evaluation criteria 123. Further, the evaluation unit 134 obtains the result Vs of the evaluation of the sleep of the specific user 100 by using the individual evaluation criteria 122 and the result Vg of the evaluation of the sleep of the specific user 100 by using the general evaluation criteria 123. Therefore, the result of the evaluation process includes the first evaluation result indicating Vs and Vg and the second evaluation result indicating Vt.

[0060] When the weight information 124 is changed, the evaluation unit 134 re-executes the evaluation process using the changed weight information 124. As a result, the evaluation unit 134 reflects the change in the weight information 124 in the past evaluations. As an example, the evaluation unit 134 calculates Vt using the changed weight information 124 based on specific sleep information included in the sleep history 121. Therefore, after the change in the weight information 124, the Vt for the specific sleep information on the same date in the past also changes. As a result, the evaluation unit 134 can execute the evaluation process consistently.

[0061] Before the evaluation criteria determination unit 132 determines the individual evaluation criteria 122, the evaluation unit 134 evaluates the sleep of the specific user 100 using the general evaluation criteria 123. This is because when a certain amount of specific sleep information is accumulated, Evaluation criterion determination unit 132 the determination of the individual evaluation criteria 122 is considered. Therefore, even before a certain amount of specific sleep information is accumulated, the evaluation unit 134 can present the evaluation results to the specific user 100.

[0062] The presentation unit 135 presents the results of the evaluation process executed by the evaluation unit 134. As described above, the results of the evaluation process include a first evaluation result indicating the evaluation results Vs and Vg regarding the sleep of the specific user 100 using either the individual evaluation criteria 122 or the general evaluation criteria 123, and a second evaluation result indicating the evaluation result Vt regarding the sleep of the specific user 100 using both the individual evaluation criteria 122 and the general evaluation criteria 123. Furthermore, the presentation unit 135 has a function of presenting a comparison between the first evaluation result and the second evaluation result. This makes it easier to grasp the evaluation regarding sleep. The presentation unit 135 functions as an advice generation unit that generates advice regarding the sleep of the specific user 100. For example, the advice generation unit may determine the sleep type of the specific user 100 from the sleep history 121 and generate advice according to the sleep type. Examples of sleep types include a type that has difficulty falling asleep, a type that has poor waking up, a type that wakes up in the middle, an early morning waking type, and a light sleep type. Since advice regarding sleep can be generated by various conventionally well-known methods, it will not be described in detail.

[0063] Figures 4 and 5 show an example of a screen (result display screen) displayed by the presentation unit 135. In Figures 4 and 5, the result display screen is displayed on the image display device of the terminal device 20. The result display screen G11 shown in Figure 4 is a screen presenting the result of the evaluation process before the evaluation criteria determination unit 132 determines the individual evaluation criteria 122. The result display screen G11 includes a first region R11, a second region R12, a third region R13, a fourth region R14, and a fifth region R15. The first region R11 indicates the date of the specific sleep information that is the subject of the evaluation process in the evaluation unit 134. The second region R12 displays a graph showing an overview of the specific sleep information. In Figure 4, the second region R12 shows, by the graph, the time change in the depth of sleep and the sleep time. The third region R13 is a region presenting the result of the evaluation process. In Figure 4, the third region R13 displays, as a sleep score, the result Vg (first evaluation result) of the evaluation regarding the sleep of the specific user 100 using the general evaluation criteria 123. The fourth region R14 displays, in a radar chart, the breakdown of the sleep score (here, the sleep time evaluation value Vg1, the sleep efficiency evaluation value Vg2, the sleep latency evaluation value Vg3, the number of awakenings during sleep evaluation value Vg4, the state evaluation value Vg5 immediately before waking up, and the proportion evaluation value Vg6 of deep sleep). The fifth region R15 is a region for displaying text regarding advice on the sleep of the specific user 100. The advice is generated by the presentation unit 135.

[0064] The result display screen G12 shown in FIG. 5 is a screen that presents the results of the evaluation process after the evaluation criteria determination unit 132 determines the individual evaluation criteria 122. Similar to the result display screen G11, the result display screen G12 includes a first region R11, a second region R12, a third region R13, a fourth region R14, and a fifth region R15. In FIG. 5, the third region R13 displays, as a sleep score, the result Vt of the evaluation regarding the sleep of the specific user 100 using both the individual evaluation criteria 122 and the general evaluation criteria 123. The fourth region R14 displays the breakdown of the sleep score in a radar chart. The fourth region R14 includes a first radar chart 141 and a second radar chart 142. The first radar chart 141 corresponds to the result Vg of the evaluation regarding the sleep of the specific user 100 using the general evaluation criteria 123. The second radar chart 142 corresponds to the result Vt of the evaluation regarding the sleep of the specific user 100 using both the individual evaluation criteria 122 and the general evaluation criteria 123. That is, the fourth region R14 presents a comparison between the first evaluation result and the second evaluation result.

[0065] (1-3) Operations Hereinafter, with reference to FIGS. 6 to 20, an example of the operation of the sleep evaluation system 1 will be briefly described.

[0066] FIG. 6 shows a flowchart of the operation in which the sleep evaluation system 1 determines the individual evaluation criteria 122. The evaluation criteria determination unit 132 determines whether the number of specific sleep information included in the sleep history 121 has reached a predetermined number (S11). When the number of specific sleep information included in the sleep history 121 reaches the predetermined number (S11: Yes), the evaluation criteria determination unit 132 determines the individual evaluation criteria 122 (S12).

[0067] Once the individual evaluation criteria 122 are determined, it becomes possible to determine the weight information 124. FIG. 7 shows a flowchart of the operation in which the sleep evaluation system 1 determines the weight information. The weight determination unit 133 acquires specific sleep information from the sleep history 121 (S21). The weight determination unit 133 obtains a first representative value of the evaluation result regarding the sleep of the specific user 100 from the acquired specific sleep information using the general evaluation criteria 123 (S22). The weight determination unit 133 obtains a second representative value of the evaluation result regarding the sleep of the plurality of users 200 from the sleep information regarding the plurality of users 200 using the general evaluation criteria 123 (S23). The weight determination unit 133 compares the first representative value with the second representative value (S24, S26). If the first representative value and the second representative value are equal (S24: YES), the weight determination unit 133 sets the weights (ws1 to ws6) of the individual evaluation criteria 122 to the specified values (S25). If the first representative value is better than the second representative value (S24: NO, S26: YES), the weight determination unit 133 sets the weights (ws1 to ws6) of the individual evaluation criteria 122 to values smaller than the specified values (S27). If the first representative value is worse than the second representative value (S24: NO, S26: NO), the weights (ws1 to ws6) of the individual evaluation criteria 122 are set to values larger than the specified values (S28).

[0068] FIG. 8 shows a flowchart of an operation in which the sleep evaluation system 1 evaluates the sleep of a specific user 100. The evaluation unit 134 acquires specific sleep information from the sleep history 121 (S31). The evaluation unit 134 performs an evaluation of the sleep of the specific user 100 using the general evaluation criteria 123 (S32) and an evaluation of the sleep of the specific user 100 using the individual evaluation criteria 122 (S33) on the acquired specific sleep information. The evaluation unit 134 obtains an evaluation result Vt of the sleep of the specific user 100 using both the individual evaluation criteria 122 and the general evaluation criteria 123 from the evaluation result (for example, Vg1 to Vg6) using the general evaluation criteria 123, the evaluation result (for example, Vs1 to Vs6) using the individual evaluation criteria 122, and the weight information (ws1 to ws6) (S34). In this way, the evaluation unit 134 executes an evaluation process of evaluating the sleep of the specific user 100 from the specific sleep information using the individual evaluation criteria 122, the general evaluation criteria 123, and the weight information 124, and obtains an evaluation result Vt of the sleep of the specific user 100. The presentation unit 135 presents the evaluation result in the evaluation unit 134 (that is, the result of the evaluation process) (S35).

[0069] FIG. 9 shows a flowchart of an operation in which the sleep evaluation system 1 changes the weight information 124 based on the number of accumulated days and performs an evaluation using the changed weight information 124. FIG. 10 is a diagram showing an example of a graph indicating the ratio of the weight of the individual evaluation criteria 122 with respect to the number of accumulated days.

[0070] The weight determination unit 133 changes the weight information 124 so that the ratio of the weight of the individual evaluation criterion 122 to the sum of the weight of the individual evaluation criterion 122 and the weight of the general evaluation criterion 123 increases as the number of days of accumulation of the specific sleep information increases (S41). That is, the weight determination unit 133 changes the weight information 124 so that the ratio of the weight of the general evaluation criterion 123 to the sum of the weight of the individual evaluation criterion 122 and the weight of the general evaluation criterion 123 decreases as the number of days of accumulation increases. For example, as shown in FIG. 10, the weight determination unit 133 linearly increases the ratio of the weight of the individual evaluation criterion 122. When the number of days of accumulation is 0 days, the ratio of the weight of the individual evaluation criterion 122 is 0, that is, the ratio of the weight of the general evaluation criterion 123 is 10. When the number of days of accumulation is 3 days, the ratio of the weight of the individual evaluation criterion 122 is 3.5, that is, the ratio of the weight of the general evaluation criterion 123 is 6.5. Specifically, for example, when the number of days of accumulation is 0 days, wsn = 0 and wgn = 10, and when the number of days of accumulation is 3 days, wsn = 3.5 and wgn = 6.5. In this way, the weight determination unit 133 changes the weight information 124 based on the number of days of accumulation.

[0071] The evaluation unit 134 executes an evaluation process using the changed weight information 124 (S42).

[0072] In addition, the evaluation unit 134 re-executes the evaluation process executed using the weight information 124 before the change using the weight information 124 after the change (S43).

[0073] FIG. 11 shows a flowchart of the operation of the sleep evaluation system 1 for changing the weight information 124 based on the number of days of accumulation and performing an evaluation using the changed weight information 124. FIG. 12 is a diagram showing an example of a graph indicating the ratio of the weight of the individual evaluation criterion 122 with respect to the number of days of accumulation.

[0074] The weight determination unit 133 acquires the general evaluation criterion 123 (S51), and calculates the first representative value and the second representative value using the acquired general evaluation criterion 123 (S52). As described above, in the present embodiment, the first representative value is the average value of the evaluation results regarding the sleep of the specific user 100 using the general evaluation criterion 123, and the second representative value is the average value of the evaluation results regarding the sleep of the plurality of users 200 using the general evaluation criterion 123. For example, when using the number of awakenings during sleep of the specific user 100 for 10 days and the number of awakenings during sleep of the plurality of users 200 for the 10 days, the first representative value is the average value of the evaluation values of the number of awakenings during sleep of the specific user 100 for the 10 days calculated using the general evaluation criterion 123, and the second representative value is the average value of the evaluation values of the number of awakenings during sleep of the plurality of users 200 for the 10 days calculated using the general evaluation criterion 123.

[0075] The weight determination unit 133 compares the first representative value and the second representative value, and determines whether the first representative value is worse than the second representative value (S53). For example, when the first representative value is smaller than the second representative value, the weight determination unit 133 determines that the first representative value is worse than the second representative value. On the other hand, when the first representative value is greater than or equal to the second representative value, the weight determination unit 133 determines that the first representative value is not worse than the second representative value.

[0076] When the first representative value is worse than the second representative value (S53: YES), the weight determination unit 133 increases the increase rate of the weight ratio of the individual evaluation criterion 122 with respect to the increase in the accumulation days (S54). For example, as shown in FIG. 12, when the first representative value is worse than the second representative value, the increase rate (the slope of the graph) is increased more than when the first representative value is equal to the second representative value.

[0077] When the first representative value is not worse than the second representative value (S53: NO), the weight determination unit 133 determines whether the first representative value is better than the second representative value (S55). For example, when the first representative value is greater than the second representative value, the weight determination unit 133 determines that the first representative value is better than the second representative value. On the other hand, when the first representative value is equal to the second representative value, the weight determination unit 133 determines that the first representative value is not better than the second representative value.

[0078] When the first representative value is better than the second representative value (S55: YES), the weight determination unit 133 decreases the increase rate of the weight ratio of the individual evaluation criteria 122 with respect to the increase in the accumulation days (S56). For example, as shown in FIG. 12, when the first representative value is better than the second representative value, the increase rate (the slope of the graph) is decreased compared to the case where the first representative value is equal to the second representative value.

[0079] In this way, the weight determination unit 133 changes the increase rate based on the comparison result between the first representative value of the evaluation result regarding the sleep of the specific user 100 using the general evaluation criteria 123 and the second representative value of the evaluation results regarding the sleep of a plurality of users 200 using the general evaluation criteria 123.

[0080] When the first representative value is not better than the second representative value (S55: NO), that is, when the first representative value is equal to the second representative value, the weight determination unit 133 does not change the increase rate of the weight ratio of the individual evaluation criteria 122 with respect to the increase in the accumulation days.

[0081] The weight determination unit 133 changes the weight information 124 based on the increase rate of the weight ratio of the individual evaluation criteria 122 with respect to the increase in the accumulation days (S57). When the weight determination unit 133 changes the increase rate, it changes the weight information 124 based on the changed increase rate. For example, when the weight determination unit 133 changes the increase rate as shown by the dashed-dotted line in FIG. 12, if the accumulation days is 3 days, it changes wsn to 7 and wgn to 3. Also, when the weight determination unit 133 changes the increase rate as shown by the long dashed-dotted line in FIG. 12, if the accumulation days is 3 days, it changes wsn to 1.5 and wgn to 8.5.

[0082] The evaluation unit 134 executes the evaluation process using the changed weight information 124 (S58).

[0083] Also, the evaluation unit 134 re-executes the evaluation process executed using the weight information 124 before the change using the weight information 124 after the change (S59).

[0084] FIG. 13 shows a flowchart of an operation in which the sleep evaluation system 1 changes the weight information 124 based on the response of the specific user 100 and performs an evaluation using the changed weight information 124.

[0085] The evaluation unit 134 refers to the general evaluation criteria 123 (S61), and calculates an evaluation value of the specific user 100 using the general evaluation criteria 123 (S62). For example, the evaluation unit 134 calculates an evaluation value of each index (sleep time, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep) of the specific user 100 using the general evaluation criteria 123.

[0086] The evaluation unit 134 refers to the individual evaluation criteria 122 (S63), and calculates an evaluation value of the specific user 100 using the individual evaluation criteria 122 (S64). For example, the evaluation unit 134 calculates an evaluation value of each index (sleep time, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep) of the specific user 100 using the individual evaluation criteria 122.

[0087] The presentation unit 135 displays the evaluation value calculated using the general evaluation criteria 123 and the evaluation value calculated using the individual evaluation criteria 122, and accepts the response of the specific user 100 (S65). In this way, the presentation unit 135 presents to the specific user 100 the result of the evaluation of the sleep of the specific user 100 using the individual evaluation criteria 122 and the result of the evaluation of the sleep of the specific user 100 using the general evaluation criteria 123, and accepts the response of the specific user 100.

[0088] The weight determination unit 133 determines whether or not the specific user 100 has selected the evaluation value calculated using the individual evaluation criteria 122 (S66).

[0089] When the weight determination unit 133 selects the evaluation value calculated by the specific user 100 using the individual evaluation criteria 122 (YES in S66), the weight of the individual evaluation criteria 122 is made larger than the weight of the general evaluation criteria 123 (S67). For example, the weight determination unit 133 sets wsn > wgn. In this way, when the weight determination unit 133 selects the result of the evaluation regarding the sleep of the specific user 100 using the individual evaluation criteria 122, the weight of the individual evaluation criteria 122 is made larger than the weight of the general evaluation criteria 123.

[0090] When the weight determination unit 133 does not select the evaluation value calculated by the specific user 100 using the individual evaluation criteria 122 (NO in S66), that is, when the weight determination unit 133 selects the evaluation value calculated by the specific user 100 using the general evaluation criteria 123, the weight of the individual evaluation criteria 122 is made smaller than the weight of the general evaluation criteria 123 (S68). For example, the weight determination unit 133 sets wsn < wgn. In this way, when the weight determination unit 133 selects the result of the evaluation regarding the sleep of the specific user 100 using the general evaluation criteria 123, the weight of the individual evaluation criteria 122 is made smaller than the weight of the general evaluation criteria 123.

[0091] The evaluation unit 134 executes an evaluation process using the changed weight information 124 (S69).

[0092] Also, the evaluation unit 134 re - executes the evaluation process executed using the weight information 124 before the change using the weight information 124 after the change (S70).

[0093] FIG. 14 shows a flowchart of the operation in which the sleep evaluation system 1 calculates an evaluation value.

[0094] The evaluation unit 134 acquires an index related to sleep (S71). The evaluation unit 134 determines whether the acquired index is the sleep time (S72). When the acquired index is the sleep time (YES in S72), the evaluation value of the sleep time is calculated (S73).

[0095] When the acquired index is not the sleep time (NO in S72), the evaluation unit 134 determines whether the acquired index is the sleep efficiency (S74). When the acquired index is the sleep efficiency (YES in S74), it calculates the evaluation value of the sleep efficiency (S75).

[0096] When the acquired index is not the sleep efficiency (NO in S74), the evaluation unit 134 determines whether the acquired index is the sleep latency (S76). When the acquired index is the sleep latency (YES in S76), it calculates the evaluation value of the sleep latency rate (S77).

[0097] When the acquired index is not the sleep latency (NO in S76), the evaluation unit 134 determines whether the acquired index is the number of awakenings during sleep (S78). When the acquired index is the number of awakenings during sleep (YES in S78), it calculates the evaluation value of the number of awakenings during sleep (S79).

[0098] When the acquired index is not the number of awakenings during sleep (NO in S78), the evaluation unit 134 determines whether the acquired index is the state just before waking up (S80). When the acquired index is the state just before waking up (YES in S80), it calculates the evaluation value of the state just before waking up (S81).

[0099] When the acquired index is not the state just before waking up (NO in S80), the evaluation unit 134 calculates the evaluation value of the proportion of deep sleep (S82).

[0100] The evaluation unit 134 stores the calculated evaluation value in the storage unit 12 (S83).

[0101] Note that the order of determining the indexes is not limited to the above-mentioned order.

[0102] FIG. 15 shows a flowchart of the operation in which the sleep evaluation system 1 generates advice. FIGS. 16 to 18 are explanatory diagrams of an example of the result display screen by the sleep evaluation system 1.

[0103] The prompting unit 135 refers to the storage unit 12 (S91), determines whether the evaluation value of the sleep duration is less than the reference value (S92), and if the evaluation value of the sleep duration is less than the reference value (YES in S92), generates advice related to the sleep duration (S93). For example, the reference value may be set as 70% of the full score, or may be set as the average value of the evaluation values for a specific user 100 over one week.

[0104] If the evaluation value of the sleep duration is not less than the reference value (NO in S92), the prompting unit 135 determines whether the evaluation value of the sleep efficiency is less than the reference value (S94), and if the evaluation value of the sleep efficiency is less than the reference value (YES in S94), generates advice related to the sleep efficiency (S95).

[0105] If the evaluation value of the sleep efficiency is not less than the reference value (NO in S94), the prompting unit 135 determines whether the evaluation value of the sleep latency is less than the reference value (S96), and if the evaluation value of the sleep latency is less than the reference value (YES in S96), generates advice related to the sleep latency (S97).

[0106] If the evaluation value of the sleep latency is not less than the reference value (NO in S96), the prompting unit 135 determines whether the evaluation value of the number of awakenings during sleep is less than the reference value (S98), and if the evaluation value of the number of awakenings during sleep is less than the reference value (YES in S98), generates advice related to the number of awakenings during sleep (S99).

[0107] If the evaluation value of the number of awakenings during sleep is not less than the reference value (NO in S98), the prompting unit 135 determines whether the evaluation value of the state immediately before waking up is less than the reference value (S100), and if the evaluation value of the state immediately before waking up is less than the reference value (YES in S100), generates advice related to the state immediately before waking up (S101).

[0108] If the evaluation value of the state immediately before waking up is not less than the reference value (NO in S100), the prompting unit 135 determines whether the evaluation value of the proportion of deep sleep is less than the reference value (S102), and if the evaluation value of the proportion of deep sleep is less than the reference value (YES in S102), generates advice related to the proportion of deep sleep (S103).

[0109] When the evaluation value of the deep sleep ratio is not less than the reference value (NO in S102), the advice presenting unit 135 does not generate advice.

[0110] The advice presenting unit 135 stores the generated advice in the storage unit 12 (S104).

[0111] Note that the order of generating advice is not limited to the order described above. For example, advice may be generated in order from the index with a low evaluation value.

[0112] As shown in FIG. 16, for example, when the evaluation value of the sleep efficiency is small compared to the evaluation values of other indexes, the advice presenting unit 135 generates and presents advice regarding the sleep efficiency.

[0113] Also, as shown in FIG. 17, for example, when the evaluation value of the time to fall asleep (sleep latency) is small compared to the evaluation values of other indexes, the advice presenting unit 135 generates and presents advice regarding the time to fall asleep (sleep latency).

[0114] Also, as shown in FIG. 18, for example, the advice presenting unit 135 generates and presents advice based on the result of comparing the evaluation value of the specific user 100 with the evaluation values of a plurality of users 200.

[0115] FIG. 19 shows a flowchart of the operation in which the sleep evaluation system 1 changes the individual evaluation criteria 122. FIG. 20 is an explanatory diagram of an example of the individual evaluation criteria 122 before and after the change.

[0116] The evaluation criteria determination unit 132 determines whether the number of accumulated days is equal to or more than a predetermined number of days (S111). For example, the predetermined number of days is 35 days.

[0117] When the accumulated days are less than or equal to a predetermined number of days (NO in S111), the evaluation criteria determination unit 132 determines again whether the accumulated days are greater than or equal to the predetermined number of days (S111). When the accumulated days are greater than or equal to the predetermined number of days (YES in S111), the evaluation criteria determination unit 132 sets a target value (S112). For example, the target value may include the average value and variance value of the evaluation values for the predetermined number of days. Specifically, for example, when the indicator is the number of mid-sleep awakenings, the target value may include the average value and variance value of the evaluation values of the number of mid-sleep awakenings for the predetermined number of days.

[0118] The evaluation criteria determination unit 132 sets evaluation conditions so as to be close to the set target value (S113). For example, when the evaluation criteria determination unit 132 changes the evaluation conditions for the number of mid-sleep awakenings, it searches for the evaluation conditions for the number of mid-sleep awakenings that are included in the range where the average value is between 7.4 and 7.7 and the standard deviation is between 2.8 and 3.2. For example, as shown in FIG. 20, when the target value can be achieved by setting 0 times as 10 points, 1 time as 8 points, 2 times as 6 points, 3 times as 4 points, and 4 times or more as 0 points, the evaluation criteria determination unit 132 changes the evaluation conditions for the number of mid-sleep awakenings to 0 times as 10 points, 1 time as 8 points, 2 times as 6 points, 3 times as 4 points, and 4 times or more as 0 points.

[0119] (1-4) Summary As described above, the sleep evaluation system 1 includes an evaluation criteria determination unit 132 and an evaluation unit 134. The evaluation criteria determination unit 132 determines individual evaluation criteria based on the sleep history 121 including the history of specific sleep information regarding the sleep of the specific user 100. The evaluation unit 134 executes an evaluation process for evaluating the sleep of the specific user 100 from the specific sleep information, using both the individual evaluation criteria and the general evaluation criteria determined based on the sleep information regarding the sleep of the plurality of users 200. According to this sleep evaluation system 1, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0120] In other words, it can be said that the sleep evaluation system 1 executes a method (sleep evaluation method) as shown in FIGS. 6 to 8. The sleep evaluation method of the present embodiment includes a reference determination step and an evaluation step. The reference determination step is a step of determining individual evaluation criteria based on a sleep history including a history of sleep information regarding the sleep of the specific user 100. The evaluation step is a step of executing an evaluation process for evaluating the sleep of the specific user 100 from specific sleep information by using the individual evaluation criteria and general evaluation criteria determined based on the sleep information regarding the sleep of a plurality of users 200 in combination. According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep. According to this sleep evaluation method, similarly to the sleep evaluation system 1, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0121] The sleep evaluation system 1 is realized by using a computer system. That is, the method (sleep evaluation method) executed by the sleep evaluation system 1 can be realized by the computer system executing a program. This program is a computer program for causing one or more processors to execute the sleep evaluation method. According to such a program, similarly to the sleep evaluation system 1, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0122] (2) Modification The embodiments of the present disclosure are not limited to the above embodiments. If the problems of the present disclosure can be achieved, various changes can be made according to the design and the like. Hereinafter, modification examples of the above embodiments will be listed. The modification examples described below can be applied in appropriate combinations.

[0123] In one modification example, the acquisition unit 131 may directly acquire specific sleep information from the sensor 30. That is, the terminal device 20 does not necessarily have to acquire specific sleep information from the sensor 30. On the other hand, the specific sleep information does not necessarily have to be acquired by the sensor 30, and the specific user 100 may input it to the terminal device 20 through the input unit 21 of the terminal device 20. In this case, the acquisition unit 131 may acquire the specific sleep information from the terminal device 20.

[0124] In a modified example, the acquisition unit 131 may acquire the sleep information of a plurality of users 200 in addition to the specific sleep information. The acquisition unit 131 may acquire sleep information from a plurality of terminal devices 20, acquire the history of the sleep information of the plurality of users 200, and store it in the storage unit 12. In this case, the evaluation criterion determination unit 132 may determine the general evaluation criterion 123 based on the history of the sleep information of the plurality of users 200.

[0125] In the above embodiment, the specific user 100 is included in the plurality of users 200, but the specific user 100 does not necessarily have to be included in the plurality of users 200.

[0126] In a modified example, the evaluation criterion determination unit 132 may update the individual evaluation criterion 122 at regular intervals or at a predetermined timing. An example of the predetermined timing may be the timing when the number of days of the specific sleep information included in the sleep history 121 has increased by a specified number of days.

[0127] In a modified example, the sleep information does not necessarily have to include all of the sleep time, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep, and may include sleep-related indicators different from these. For example, the sleep information may include the time interval between the timings at which awakenings during sleep occur.

[0128] In a modified example, the evaluation value does not have to be represented by a score. The evaluation value is not limited to a score and may be a stage evaluation such as a five-stage evaluation. The stage evaluation may be by a grade or a qualitative description.

[0129] In one modification, in the weight information 124, the weights of each of the individual evaluation criteria 122 and the general evaluation criteria 123 may be the same. That is, ws1, ws2, ws3, ws4, ws5, ws6 may be the same value. In this case, wg1, wg2, wg3, wg4, wg5, wg6 are also the same value. In other words, the weight information 124 may weight the result (total evaluation value) of the sleep evaluation using the individual evaluation criteria 122 and the general evaluation criteria 123.

[0130] In one modification, the weight information 124 may be any information that can weight the general evaluation criteria 123 and the individual evaluation criteria 122. In the above embodiment, each of the general evaluation criteria 123 and the individual evaluation criteria 122 includes evaluation conditions for determining an evaluation value related to sleep. The weight information 124 may weight the evaluation conditions instead of the evaluation values.

[0131] In one modification, when the weight determination unit 133 determines the weight information (target weight information), it may immediately reflect the target weight information in the evaluation. That is, the transition time from the current weight information to the target weight information is not necessarily required.

[0132] In one modification, the weight determination unit 133 may change the weight information 124 according to the response of the specific user 100 to the result of the evaluation process. For example, the sleep evaluation system 1 may collect the satisfaction of the specific user 100 with respect to the result of the evaluation process and reflect it in the weight information 124. As an example, for items in which the specific user 100 is dissatisfied among sleep time, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep, the weight of the individual evaluation criteria 122 may be made larger than that of the general evaluation criteria 123. Thereby, the satisfaction of the specific user 100 with respect to the result of the evaluation process can be better maintained.

[0133] In a modified example, the weight determination unit 133 may change the weight information 124 according to the response from a specific user 100 regarding sleep. For example, the sleep evaluation system 1 may collect, by means of the terminal device 20, information about the points that the specific user 100 is concerned about regarding sleep and reflect it in the weight information 124. As an example, for the items among sleep duration, sleep efficiency, sleep latency (time to fall asleep), number of awakenings during sleep, state just before waking up, and proportion of deep sleep that the specific user 100 is concerned about, the weights of the individual evaluation criteria 122 may be made larger than those of the general evaluation criteria 123. Thereby, the satisfaction of the specific user 100 with respect to the result of the evaluation process can be better maintained.

[0134] In a modified example, the evaluation unit 134 does not need to obtain both the result Vs of the evaluation of the sleep of the specific user 100 using the individual evaluation criteria 122 and the result Vg of the evaluation of the sleep of the specific user 100 using the general evaluation criteria 123. That is, the first evaluation result does not need to include both the result Vs of the evaluation of the sleep of the specific user 100 using the individual evaluation criteria 122 and the result Vg of the evaluation of the sleep of the specific user 100 using the general evaluation criteria 123, and may include either Vs or Vg. The evaluation result does not need to include the first evaluation result.

[0135] In a modified example, the evaluation unit 134 may reflect the environmental information regarding the sleep environment of the specific user 100 in the evaluation of the sleep of the specific user 100. The environmental information may include lighting environment, temperature environment, geographical environment, and noise environment regarding the place where the specific user 100 sleeps. By using the environmental information, the accuracy of the evaluation regarding the sleep of the specific user 100 can be improved.

[0136] In a modification example, as shown in FIG. 5, the presentation unit 135 does not necessarily need to display the first evaluation result (the first radar chart 141) and the second evaluation result (the second radar chart 142) on the same screen. For example, the presentation unit 135 may present the first evaluation result (the first radar chart 141) and the second evaluation result (the second radar chart 142) in a switchable manner. The presentation unit 135 does not necessarily need to present a comparison between the first evaluation result and the second evaluation result. The presentation unit 135 may present the evaluation result aurally instead of visually. The presentation unit 135 may simply output data indicating the result of the evaluation process in a predetermined format.

[0137] In a modification example, the presentation unit 135 only needs to present at least the third region R13, and the first region R11, the second region R12, the fourth region R14, and the fifth region R15 are not essential. In particular, regarding the fifth region R15, the presentation unit 135 functions as an advice generation unit that generates advice regarding the sleep of the specific user 100. When the fifth region R15 is not present, the presentation unit 135 does not need to have the function as an advice generation unit.

[0138] The sleep evaluation system 1 in the present disclosure includes, for example, a computer system. The computer system mainly includes a processor and a memory as hardware. By the processor executing a program recorded in the memory of the computer system, the functions as the sleep evaluation system 1 in the present disclosure are realized. The program may be pre-recorded in the memory of the computer system, may be provided through a telecommunication line, or may be provided by being recorded on a non-transitory recording medium such as a memory card, an optical disk, or a hard disk drive readable by the computer system. The processor of the computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large-scale integrated circuit (LSI). Here, integrated circuits such as the IC or LSI have different names depending on the degree of integration, and include integrated circuits called system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration). Furthermore, for an FPGA (Field-Programmable Gate Array) that is programmed after the manufacture of the LSI, or a logic device capable of reconfiguring the bonding relationship inside the LSI or reconfiguring the circuit sections inside the LSI, it can also be adopted as a processor. The plurality of electronic circuits may be integrated on one chip, or may be provided distributed on a plurality of chips. The plurality of chips may be integrated in one device, or may be provided distributed in a plurality of devices. The computer system referred to here includes a microcontroller having one or more processors and one or more memories. Therefore, the microcontroller is also composed of one or more electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

[0139] In the above embodiment, the sleep evaluation system 1 is realized by the server 10, but it may also be realized by the terminal device (information terminal) 20. For example, the terminal device 20 may include an evaluation criterion determination unit 132 and an evaluation unit 134. That is, one or more processors included in the computer system constituting the terminal device 20 may function as the sleep evaluation system 1 by executing a program.

[0140] It is not an essential configuration of the sleep evaluation system 1 that a plurality of functions in the sleep evaluation system 1 are integrated in one housing, and the components of the sleep evaluation system 1 may be provided dispersedly in a plurality of housings. For example, the sleep evaluation system 1 may be realized by the terminal device 20 and the server 10. In this case, the sleep evaluation system 1 may include a server 10 including an evaluation criterion determination unit 132 and an evaluation unit 134, and a terminal device 20 that can communicate with the server 10 and acquires and presents the result of the evaluation process of the evaluation unit 134. Also, a part of the functions of the processing unit 13 may be realized by the server 10 and the remaining part may be realized by the terminal device 20. For example, the terminal device 20 may include an acquisition unit 131 and a presentation unit 135, and the server 10 may include an evaluation criterion determination unit 132, a weight determination unit 133, and an evaluation unit 134. Furthermore, at least a part of the functions of the sleep evaluation system 1, for example, a part of the functions of the processing unit 13 may be realized by a cloud (cloud computing) or the like.

[0141] (3) Aspect As is clear from the above embodiment and the modification example, the present disclosure includes the following aspects. Below, signs are attached with parentheses only for the purpose of clarifying the correspondence with the embodiment.

[0142] A first aspect is a sleep evaluation system (1), comprising an evaluation criterion determination unit (132) and an evaluation unit (134). The evaluation criterion determination unit (132) determines individual evaluation criteria (122) based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100). The evaluation unit (134) executes an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information by using in combination the individual evaluation criteria (122) and general evaluation criteria (123) determined based on sleep information regarding the sleep of a plurality of users (200). According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0143] A second aspect is a sleep evaluation system (1) based on the first aspect. In the second aspect, the sleep evaluation system (1) further comprises a weight determination unit (133) that determines weight information (124) for the general evaluation criteria (123) and the individual evaluation criteria (122). The evaluation unit (134) performs the evaluation process by using the weight information (124). According to this aspect, it is possible to further improve the appropriateness of the evaluation regarding sleep.

[0144] A third aspect is a sleep evaluation system (1) based on the second aspect. In the third aspect, the weight determination unit (133) determines the weight information (124) based on the result of comparison between a first representative value of the evaluation result regarding the sleep of the specific user (100) using the general evaluation criteria (123) and a second representative value of the evaluation result regarding the sleep of the plurality of users (200) using the general evaluation criteria (123). According to this aspect, it is possible to further improve the appropriateness of the evaluation regarding sleep.

[0145] A fourth aspect is a sleep evaluation system (1) based on the second or third aspect. In the fourth aspect, each of the general evaluation criteria (123) and the individual evaluation criteria (122) includes evaluation conditions for determining an evaluation value regarding sleep. The weight information (124) is information for weighting the evaluation value. According to this aspect, it is possible to further improve the appropriateness of the evaluation regarding sleep.

[0146] The fifth aspect is a sleep evaluation system (1) based on any one of the second to fourth aspects. In the fifth aspect, each of the general evaluation criteria (123) and the individual evaluation criteria (122) includes evaluation criteria for each of a plurality of items related to sleep. The weight information (124) includes the weight of each of the evaluation criteria. According to this aspect, it is possible to further improve the appropriateness of the evaluation related to sleep.

[0147] The sixth aspect is a sleep evaluation system (1) based on any one of the second to fifth aspects. In the sixth aspect, the weight determination unit (133) updates the weight information (124) when a predetermined condition is satisfied. According to this aspect, it is possible to further improve the appropriateness of the evaluation related to sleep.

[0148] The seventh aspect is a sleep evaluation system (1) based on any one of the second to sixth aspects. In the seventh aspect, when the weight information (124) is changed, the evaluation unit (134) re-executes the evaluation process using the changed weight information (124). According to this aspect, it is possible to further improve the appropriateness of the evaluation related to sleep.

[0149] The eighth aspect is a sleep evaluation system (1) based on any one of the second to seventh aspects. In the eighth aspect, the weight determination unit (133) changes the weight information (124) according to the response of the specific user (100) to the result of the evaluation process. According to this aspect, it is possible to further improve the appropriateness of the evaluation related to sleep.

[0150] The ninth aspect is a sleep evaluation system (1) based on any one of the first to eighth aspects. In the ninth aspect, before the evaluation criterion determination unit (132) determines the individual evaluation criteria (122), the evaluation unit (134) evaluates the sleep of the specific user (100) using the general evaluation criteria (123). According to this aspect, it is possible to evaluate sleep even before the individual evaluation criteria (122) are obtained.

[0151] The tenth aspect is a sleep evaluation system (1) based on any one of the first to ninth aspects. In the tenth aspect, the result of the evaluation process is the individual evaluation criteria (122) and a first evaluation result indicating the result of the evaluation regarding the sleep of the specific user (100) using one of the general evaluation criteria (123), and a second evaluation result indicating the result of the evaluation regarding the sleep of the specific user (100) using both the individual evaluation criteria (122) and the general evaluation criteria (123). According to this aspect, it becomes easier to grasp the evaluation regarding sleep.

[0152] The eleventh aspect is a sleep evaluation system (1) based on the tenth aspect. In the eleventh aspect, the sleep evaluation system (1) further includes a presentation unit (135) that presents a comparison between the first evaluation result and the second evaluation result. According to this aspect, it becomes easier to grasp the evaluation regarding sleep.

[0153] The twelfth aspect is a sleep evaluation system (1) based on any one of the first to eleventh aspects. In the twelfth aspect, the sleep evaluation system (1) further includes a sensor (30) that acquires the specific sleep information. According to this aspect, it becomes easier to acquire the specific sleep information.

[0154] The thirteenth aspect is a sleep evaluation system (1) based on any one of the first to twelfth aspects. In the thirteenth aspect, the evaluation unit (134) reflects the environmental information regarding the sleep environment of the specific user (100) in the evaluation regarding the sleep of the specific user (100). According to this aspect, it is possible to improve the accuracy of the evaluation regarding sleep.

[0155] A 14th aspect is a sleep evaluation system (1), comprising a server (10) and a terminal device (20). The server (10) comprises an evaluation criterion determination unit (132) and an evaluation unit (134). The evaluation criterion determination unit (132) determines individual evaluation criteria (122) based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100). The evaluation unit (134) executes an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information, using in combination the individual evaluation criteria (122) and general evaluation criteria (123) determined based on sleep information regarding the sleep of a plurality of users (200). The terminal device (20) comprises a communication unit (23) capable of communicating with the server (10), an output unit (22) for outputting information from the terminal device (20), and a processing unit (24) for controlling the communication unit (23) and the output unit (22). The processing unit (24) receives the result of the evaluation process from the evaluation unit (134) of the server (10) via the communication unit (23), and outputs the result of the evaluation process via the output unit (22). According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0156] A 15th aspect is a program that causes one or more processors of the processing unit (24) of the terminal device (20) in the sleep evaluation system (1) of the 14th aspect to execute the steps of receiving the result of the evaluation process from the evaluation unit (134) of the server (10) via the communication unit (23), and outputting the result of the evaluation process via the output unit (22). According to this aspect, it is possible to improve the accuracy of the evaluation regarding sleep.

[0157] The 16th aspect is a sleep evaluation method, including a criterion determination step and an evaluation step. The criterion determination step is a step of determining individual evaluation criteria (122) based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100). The evaluation step is a step of executing an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information by using the individual evaluation criteria (122) and general evaluation criteria (123) determined based on sleep information regarding the sleep of a plurality of users (200). According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0158] The 17th aspect is a program for causing one or more processors to execute the sleep evaluation method of the 16th aspect. According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0159] The 18th aspect is a sleep evaluation method, including determining weight information (124) of individual evaluation criteria (122) determined based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100) and general evaluation criteria (123) determined based on sleep information regarding the sleep of a plurality of users (200), and executing an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information by using the individual evaluation criteria (122), the general evaluation criteria (123), and the weight information (124). According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0160] The 19th aspect is a sleep evaluation method based on the 18th aspect. In the 19th aspect, the weight information (124) is changed based on the number of days of accumulation in which the specific sleep information is accumulated or the response of the specific user (100) to the result of the evaluation process, and the evaluation process is executed by using the changed weight information (124). According to this aspect, by changing the weight information, it is possible to further improve the appropriateness of the evaluation regarding sleep.

[0161] The 20th aspect is a sleep evaluation method based on the 19th aspect. In the 20th aspect, the weight information (124) is changed such that the ratio of the weight of the individual evaluation criteria (122) to the sum of the weight of the individual evaluation criteria (122) and the weight of the general evaluation criteria (123) increases as the number of accumulated days increases. According to this aspect, since the ratio of the weight of the individual evaluation criteria (122) is gradually increased as the number of accumulated days increases, it is possible to further improve the appropriateness of the evaluation regarding sleep.

[0162] The 21st aspect is a sleep evaluation method based on the 20th aspect. In the 21st aspect, based on the result of comparison between the first representative value of the evaluation result regarding the sleep of the specific user (100) using the general evaluation criteria (123) and the second representative value of the evaluation results regarding the sleep of the plurality of users (200) using the general evaluation criteria (123), the increase rate of the ratio with respect to the increase in the number of accumulated days is changed, and based on the changed increase rate, the weight information (124) is changed. According to this aspect, since the increase rate of the ratio is changed based on the result of comparison between the first representative value and the second representative value, it becomes easier to appropriately change the increase rate of the ratio according to the sleep state of the specific user (100), and it is possible to further improve the appropriateness of the evaluation regarding sleep.

[0163] The 22nd aspect is a sleep evaluation method based on the 21st aspect. In the 22nd aspect, when the first representative value is worse than the second representative value, the increase rate is increased, and when the first representative value is better than the second representative value, the increase rate is decreased. According to this aspect, it becomes easier to more appropriately change the increase rate of the ratio according to the sleep state of the specific user (100), and it is possible to further improve the appropriateness of the evaluation regarding sleep.

[0164] The 23rd aspect is a sleep evaluation method based on the 19th aspect. In the 23rd aspect, the results of the evaluation of the sleep of the specific user (100) using the individual evaluation criteria (122) and the results of the evaluation of the sleep of the specific user (100) using the general evaluation criteria (123) are presented to the specific user (100), the response of the specific user (100) is received, and when the specific user (100) selects the result of the evaluation of the sleep of the specific user (100) using the individual evaluation criteria (122), the weight of the individual evaluation criteria (122) is made larger than the weight of the general evaluation criteria (123), and when the specific user (100) selects the result of the evaluation of the sleep of the specific user (100) using the general evaluation criteria (123), the weight of the individual evaluation criteria (122) is made smaller than the weight of the general evaluation criteria (123). According to this aspect, it becomes easier to appropriately set the weight of the individual evaluation criteria (122) and the weight of the general evaluation criteria (123) according to the response of the specific user (100), and a further improvement in the appropriateness of the evaluation regarding sleep can be achieved.

[0165] The 24th aspect is a sleep evaluation method based on any one of the 18th to 23rd aspects. In the 24th aspect, each of the general evaluation criteria (123) and the individual evaluation criteria (122) includes evaluation conditions for determining an evaluation value regarding sleep, and the weight information (124) is information for weighting the evaluation value. According to this aspect, a further improvement in the appropriateness of the evaluation regarding sleep can be achieved.

[0166] The 25th aspect is a sleep evaluation method based on any one of the 18th to 24th aspects. In the 25th aspect, each of the general evaluation criteria (123) and the individual evaluation criteria (122) includes evaluation criteria for each of a plurality of items regarding sleep, and the weight information (124) includes the weights of the respective evaluation criteria. According to this aspect, a further improvement in the appropriateness of the evaluation regarding sleep can be achieved.

[0167] Aspect 26 is a sleep evaluation method based on any one of Aspects 18 to 25. In Aspect 26, when predetermined conditions are satisfied, the weight information (124) is updated. According to this aspect, further improvement in the appropriateness of the evaluation regarding sleep can be achieved.

[0168] Aspect 27 is a sleep evaluation method based on any one of Aspects 18 to 26. In Aspect 27, the result of the evaluation process includes a first evaluation result indicating the result of the evaluation regarding the sleep of the specific user (100) using one of the individual evaluation criteria (122) and the general evaluation criteria (123), and a second evaluation result indicating the result of the evaluation regarding the sleep of the specific user (100) using both the individual evaluation criteria (122) and the general evaluation criteria (123). According to this aspect, it becomes easier to grasp the evaluation regarding sleep.

[0169] Aspect 28 is a sleep evaluation method based on Aspect 27. In Aspect 28, a comparison between the first evaluation result and the second evaluation result is presented. According to this aspect, it becomes easier to grasp the evaluation regarding sleep.

[0170] Aspect 29 is a sleep evaluation system (1), comprising a weight determination unit (133) that determines weight information (124) of an individual evaluation criterion (122) determined based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100), and a general evaluation criterion (123) determined based on sleep information regarding the sleep of a plurality of users (200); and an evaluation unit (134) that executes an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information using the individual evaluation criterion (122), the general evaluation criterion (123), and the weight information (124). According to this aspect, improvement in the appropriateness of the evaluation regarding sleep can be achieved.

[0171] A 30th aspect is a sleep evaluation system (1), comprising a server (10) and a terminal device (20) capable of communicating with the server (10). The server (10) includes a weight determination unit (133) that determines weight information (124) of an individual evaluation criterion (122) determined based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100), and a general evaluation criterion (123) determined based on sleep information regarding the sleep of a plurality of users (200), and an evaluation unit (134) that executes an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information using the individual evaluation criterion (122), the general evaluation criterion (123), and the weight information (124). The terminal device (20) includes a communication unit (23) capable of communicating with the server (10), an output unit (22) that outputs information from the terminal device (20), and a processing unit (24) that controls the communication unit (23) and the output unit (22). The processing unit (24) receives the result of the evaluation process from the evaluation unit (134) of the server (10) through the communication unit (23), and outputs the result of the evaluation process through the output unit (22). According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0172] A 31st aspect is a terminal device (20) capable of communicating with a server (10). The server (10) includes a weight determination unit (133) that determines weight information (124) of an individual evaluation criterion (122) determined based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100), and a general evaluation criterion (123) determined based on sleep information regarding the sleep of a plurality of users (200), and an evaluation unit (134) that executes an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information using the individual evaluation criterion (122), the general evaluation criterion (123), and the weight information (124). The server (10) is provided with a communication unit (23) capable of communicating with the terminal device (20), an output unit (22) that outputs information from the terminal device (20), and a processing unit (24) that controls the communication unit (23) and the output unit (22). The processing unit (24) receives the result of the evaluation process from the evaluation unit (134) of the server (10) through the communication unit (23), and outputs the result of the evaluation process through the output unit (22). According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0173] A 32nd aspect is a program for causing one or more processors to execute a sleep evaluation method that determines weight information (124) of an individual evaluation criterion (122) determined based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100), and a general evaluation criterion (123) determined based on sleep information regarding the sleep of a plurality of users (200), and executes an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information using the individual evaluation criterion (122), the general evaluation criterion (123), and the weight information (124). According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0174] The 33rd aspect is a program, comprising a server (10) and a terminal device (20) capable of communicating with the server (10). The server (10) includes a weight determination unit (133) that determines weight information (124) of an individual evaluation criterion (122) determined based on a sleep history (121) including a history of specific sleep information regarding the sleep of a specific user (100), and a general evaluation criterion (123) determined based on sleep information regarding the sleep of a plurality of users (200), and an evaluation unit (134) that executes an evaluation process for evaluating the sleep of the specific user (100) from the specific sleep information using the individual evaluation criterion (122), the general evaluation criterion (123), and the weight information (124). The terminal device (20) includes a communication unit (23) capable of communicating with the server (10), an output unit (22) that outputs information from the terminal device (20), and a processing unit (24) that controls the communication unit (23) and the output unit (22). The processing unit (24) receives, via the communication unit (23), the result of the evaluation process from the evaluation unit (134) of the server (10), and outputs, via the output unit (22), the result of the evaluation process. A program for causing one or more processors of the processing unit (24) of the terminal device (20) in the sleep evaluation system (1) to execute a step of receiving, via the communication unit (23), the result of the evaluation process from the evaluation unit (134) of the server (10), and a step of outputting, via the output unit (22), the result of the evaluation process. According to this aspect, it is possible to improve the appropriateness of the evaluation regarding sleep.

[0175] Note that the 2nd to 13th aspects can also be appropriately modified and applied to the 16th and 17th aspects.

Explanation of Signs

[0176] 1 Sleep evaluation system 10 Server 121 Sleep history 122 Individual evaluation criterion 123 General evaluation criterion 124 Weight information 132 Evaluation criterion determination unit 133 Determination unit 134 Evaluation Unit 135 Presentation Unit 20 Terminal Device 22 Output Unit 23 Communication Unit 24 Processing Unit 30 Sensor 100 Specific User 200 User

Claims

1. An individual evaluation criterion including a plurality of items related to sleep determined based on a sleep history including a history of specific sleep information related to the sleep of a specific user, and a general evaluation criterion including a plurality of items related to sleep determined based on sleep information related to the sleep of a plurality of users, and weight information of the general evaluation criterion in which all items are the same as those of the individual evaluation criterion are determined, An evaluation process for evaluating the sleep of the specific user from the specific sleep information is executed using the individual evaluation criterion, the general evaluation criterion, and the weight information. A sleep evaluation method.

2. The weight information is changed based on the number of days of accumulation in which the specific sleep information is accumulated or the response of the specific user to the result of the evaluation process, The evaluation process is executed using the changed weight information. The sleep evaluation method according to claim 1.

3. The weight information is changed such that the ratio of the weight of the individual evaluation criterion to the sum of the weight of the individual evaluation criterion and the weight of the general evaluation criterion increases as the number of days of accumulation increases. The sleep evaluation method according to claim 2.

4. Based on the result of comparison between the first representative value of the evaluation result related to the sleep of the specific user using the general evaluation criterion and the second representative value of the evaluation result related to the sleep of the plurality of users using the general evaluation criterion, the increase rate of the ratio with respect to the increase in the number of days of accumulation is changed, The weight information is changed based on the changed increase rate. The sleep evaluation method according to claim 3.

5. When the first representative value is worse than the second representative value, the increase rate is increased, When the first representative value is better than the second representative value, the increase rate is decreased. The sleep evaluation method according to claim 4.

6. The result of the evaluation related to the sleep of the specific user using the individual evaluation criterion and the result of the evaluation related to the sleep of the specific user using the general evaluation criterion are presented to the specific user, and the response of the specific user is received. When the specific user selects the result of the evaluation related to the sleep of the specific user using the individual evaluation criterion, the weight of the individual evaluation criterion is made larger than the weight of the general evaluation criterion. When the specific user selects the result of the evaluation related to the sleep of the specific user using the general evaluation criterion, the weight of the individual evaluation criterion is made smaller than the weight of the general evaluation criterion. The sleep evaluation method according to claim 2.

7. Each of the general evaluation criteria and the individual evaluation criteria includes evaluation conditions for determining an evaluation value related to sleep. The weight information is information for weighting the evaluation value. The sleep evaluation method according to any one of claims 1 to 6.

8. Each of the general evaluation criteria and the individual evaluation criteria includes evaluation criteria for each of a plurality of items related to sleep. The weight information includes the weight of each of the evaluation criteria. The sleep evaluation method according to any one of claims 1 to 7.

9. Updating the weight information when a predetermined condition is satisfied. The sleep evaluation method according to any one of claims 1 to 8.

10. The result of the evaluation process is a first evaluation result indicating the result of the evaluation of the sleep of the specific user using one of the individual evaluation criteria and the general evaluation criteria, and a second evaluation result indicating the result of the evaluation of the sleep of the specific user using both the individual evaluation criteria and the general evaluation criteria. The sleep evaluation method according to any one of claims 1 to 9.

11. Presenting a comparison between the first evaluation result and the second evaluation result. The sleep evaluation method according to claim 10.

12. An individual evaluation criterion including a plurality of items related to sleep determined based on a sleep history including a history of specific sleep information related to the sleep of a specific user, and a general evaluation criterion including a plurality of items related to sleep having the same all items as the individual evaluation criterion, determined based on sleep information related to the sleep of a plurality of users, and a weight determination unit for determining weight information; An evaluation unit that executes an evaluation process for evaluating the sleep of the specific user from the specific sleep information using the individual evaluation criterion, the general evaluation criterion, and the weight information. Sleep evaluation system.

13. A server, and a terminal device communicable with the server. The server An individual evaluation criterion including a plurality of items related to sleep determined based on a sleep history including a history of specific sleep information related to the sleep of a specific user, and a general evaluation criterion including a plurality of items related to sleep having the same all items as the individual evaluation criterion, determined based on sleep information related to the sleep of a plurality of users, and a weight determination unit for determining weight information; An evaluation unit that executes an evaluation process for evaluating the sleep of the specific user from the specific sleep information using the individual evaluation criterion, the general evaluation criterion, and the weight information, and the terminal device A communication unit communicable with the server An output unit that outputs information from the terminal device; A processing unit that controls the communication unit and the output unit, The processing unit receives the result of the evaluation process from the evaluation unit of the server through the communication unit, and outputs the result of the evaluation process through the output unit. A sleep evaluation system.

14. An individual evaluation criterion including a plurality of items related to sleep, determined based on a sleep history including a history of specific sleep information related to the sleep of a specific user, and a plurality of items related to sleep determined based on sleep information related to the sleep of a plurality of users. Determine the weight information of the general evaluation criteria including the same items related to sleep as all items of the individual evaluation criteria, Using the individual evaluation criteria, the general evaluation criteria, and the weight information, perform an evaluation process for evaluating the sleep of the specific user from the specific sleep information. For causing one or more processors to execute a sleep evaluation method, A program.

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