JP7415615B2 - Program and evaluation equipment - Google Patents

Description

The present invention relates to a program for displaying evaluations.

Patent Document 1 discloses an information processing system that calculates a fatigue index based on sensor information and information input by a user. For example, the information processing system presents the user with a question such as "How tired are you now?" and prompts the user to input the user's subjective degree of fatigue (fatigue index) as an answer. The information processing system then evaluates fatigue based on the input answer and sensor information. Specifically, the information processing system calculates, for example, an average value based on an objective fatigue index calculated from a sleep index based on sensor information and a subjective fatigue index input by the user. The average value is used as the final fatigue index.

Re-table 2015/107710 publication

In the information processing system described in Patent Document 1, each time the final fatigue index is calculated, the user is asked to input a subjective evaluation, so there is a problem that the operation is cumbersome for the user.

The present invention has been made in view of the above-mentioned circumstances, and its purpose is to provide a program that displays a user's sleep evaluation that matches the user's subjective opinion while minimizing the user's input operations. There is a particular thing.

(1) A program according to the present invention includes a sensor that detects a user's movements during sleep, a generation unit that generates a sleep-related index based on the output of the sensor, an input unit that receives input of user evaluation, and a memory. An information processing system is executable, including a display unit that displays an evaluation based on an analysis of the index and the user evaluation. an acquisition process for acquiring the index; a reception process for accepting the user evaluation; a storage process for storing the index and the user evaluation in the storage section; and a storage process for storing the index and the user evaluation in the storage section. causing the information processing system to execute an analysis process for determining the relationship between the two, a generation process for generating the evaluation from the obtained index based on the relationship, and a display process for displaying the evaluation on the display unit. .

Sleep evaluation based on the relationship between sleep-related indicators and user evaluation can be fed back to the user. Furthermore, in order to evaluate sleep, it is not necessary to create evidence based on experiments with subjects. Furthermore, the user is not required to input an evaluation every time a sleep evaluation is performed.

(2) Preferably, in the display process, the program causes the display unit to display an object that accepts whether or not the user needs to modify the evaluation, and in response to accepting that the user needs to modify the evaluation, In the display unit, the user input of the revised evaluation is accepted, and the accepted revised evaluation and the acquired index are stored in the storage unit, and the indicator, the user evaluation, and the revised evaluation stored in the storage unit are stored in the storage unit. and update the above relationships.

The evaluation displayed on the display unit by the program can be brought closer to the user's feelings. Furthermore, changes in the user's senses can be reflected in the evaluation.

(3) Preferably, the program determines whether the relationship is stored in the storage unit after the acquisition process, and in response to determining that the relationship is not stored in the storage unit, the program determines whether the relationship is stored in the storage unit. The index is displayed on the display section.

(4) For example, the user evaluation is expressed as a score, and the relationship is expressed as a relational expression.

(5) For example, the above program calculates the above relational expression by multiple regression analysis.

(6) For example, the program determines the index based on the output of the sensor.

(7) The evaluation device according to the present invention includes a sensor that detects a user's movement during sleep, a generation unit that generates a sleep-related index based on the output of the sensor, and an input unit that receives input of user evaluation. The mobile terminal device includes a storage unit, a display unit that displays an evaluation based on an analysis of the index and the user evaluation, and a control unit. The control unit performs an acquisition process for acquiring the index, a reception process for accepting the user evaluation, a storage process for storing the index and the user evaluation in the storage unit, and the index stored in the storage unit. and the user evaluation; a generation process that generates the evaluation from the obtained index based on the relationship; and a display process that displays the evaluation on the display unit. .

According to the program according to the present invention, it is possible to display an evaluation of the user's sleep that matches the user's subjectivity with as few input operations as possible by the user.

FIG. 1 is a schematic diagram showing an example of the configuration of an information processing system 100. FIG. 2 is a block diagram of the information processing system 100 according to the embodiment. FIG. 3 is a flowchart of processing executed by the CPU 34 according to the embodiment. FIG. 4 shows a display example of the display 33, in which (A) shows a reception screen 81 for user evaluation 41, and (B) shows a screen 82 for confirming whether or not corrected evaluation 42 is necessary. FIG. 5 shows an example of a display on the display 33, in which (A) shows a reception screen 83 for the revised evaluation 42, and (B) shows a screen 84 for confirming changes in evaluation items. FIG. 6(A) is a diagram showing an example of the stored sleep index 16 and user evaluation 41, and FIG. 6(B) is a diagram showing an example of the stored relational expression 45. FIG. 7 is a flowchart of processing executed by the CPU 34 according to the first modification. FIG. 8 is a block diagram of an information processing system 100 according to a second modification. FIG. 9 is a flowchart of processing executed by the CPU 62 according to the second modification. FIG. 10 is a block diagram of an information processing system 100 according to modification example 3. FIG. 11 is a block diagram of an information processing system 100 according to a fourth modification. FIG. 12 is a flowchart of the process executed by the CPU 34 according to the fifth modification. FIG. 13(A) is a diagram showing an example of the stored sleep index 16 and user evaluation 41, and FIG. 13(B) is a diagram showing an example of the stored relational expression 45. FIG. 14 shows a display example of the display 33, in which (A) shows a screen 85 for changing evaluation items, and (B) shows a screen 86 for accepting user evaluations 41 to be added.

Embodiments of the present invention will be described below. Note that the embodiments described below are merely examples of the present invention, and it goes without saying that the embodiments of the present invention can be modified as appropriate without changing the gist of the present invention.

FIG. 1 is a schematic diagram of an information processing system 100 according to this embodiment. As shown in FIG. 1, the information processing system 100 is mainly provided with a bedroom 20 where the user sleeps. The information processing system 100 includes a sensor device 11 and a mobile terminal device 12. Further, the information processing system 100 may further include a clock 13 installed in the bedroom 20. The information processing system 100 is an example of an evaluation device.

The bedroom 20 is provided, for example, in a building where the user resides, but it may be a living room, a reception room, or the like as long as the user sleeps there. Further, the location is not limited to the user's residence, and may be a room in a hotel or the like. The user sleeps on a bed 25 provided in the bedroom 20.

The bedroom 20 includes, for example, a floor 21, a wall 22, a ceiling 23, a door (not shown), and a window 24 provided in the wall 22. Moreover, a bed 25, a sensor device 11, a mobile terminal device 12, and a clock 13 are installed in the bedroom 20. The mobile terminal device 12 and the clock 13 may be carried by the user and taken out of the bedroom 20.

The sensor device 11 is located within the ceiling 23 and is embedded. The sensor device 11 is not limited to being inside the ceiling 23, but may protrude from the ceiling 23, or may be fixed to the surface of the ceiling 23. Further, the sensor device 11 is not limited to the ceiling 23 but may be located on the wall 22, the bed 25, or the floor 21. Further, the sensor device 11 may be a wearable type that is wrapped around the user's arm or attached to the user's body.

FIG. 2 is a block diagram of the information processing system 100 according to this embodiment. As shown in FIG. 2, the sensor device 11 and the mobile terminal device 12 are communicably connected. The sensor device 11 and the mobile terminal device 12 only need to be communicably connected, and may be connected via a communication device (not shown) such as a router.

The sensor device 11 includes a sensor 14 and a sleep determination section 15. The sensor 14 is a Doppler sensor that detects biological information. Further, the sensor 14 may be, for example, a pressure sensor installed under the mattress, as long as it can detect biological information. The sensor 14 irradiates a living body with microwaves, receives reflected waves of the irradiated microwaves, and detects movement of the body surface based on the difference in frequency between the irradiated microwaves and the received microwaves. The sensor 14 outputs a signal according to the movement of the body surface.

The sleep determination unit 15 is a calculation device that calculates the sleep index 16 based on the signal output by the sensor 14. The sleep determination unit 15 includes, for example, a CPU 28 and a RAM 29, and calculates a sleep index 16 based on a predetermined program. The sleep determination unit 15 outputs the calculated sleep index 16 to the mobile terminal device 12. The sleep determining unit 15 is an example of a generating unit.

Although the method for calculating the sleep index 16 is not particularly limited, for example, the signal received from the sensor 14 is analyzed to obtain the respiration rate, heart rate, and body movement rate. The respiration rate and heart rate are obtained, for example, by frequency analysis of the signal received from the sensor 14. Further, the number of body movements can be obtained, for example, from the number of times the amplitude of the signal received from the sensor 14 is equal to or greater than a threshold value.

The sleep determination unit 15 can determine whether there is a person in the bed 25 or not. For example, the sleep determining unit 15 can determine that there is a person in the bed 25 based on the fact that the signal received from the sensor 14 is greater than or equal to a predetermined output.

The sleep determination unit 15 periodically acquires the signal output by the sensor 14 in response to determining that the person in the bed 25 is sleeping, and determines the user's breathing and heartbeat based on the acquired signal. and body movements, and determine sleep/wakefulness and sleep depth of the user for each unit time according to signal acquisition. Known techniques are used to determine breathing, heartbeat, and body movement from signals output by the sensor 14, and to determine sleep/wakefulness and depth of sleep. Further, the period at which the sleep determination unit 15 acquires the signal output from the sensor 14 is, for example, approximately every 1 to 5 minutes.

The sleep determining unit 15 determines whether the user is asleep or awake based on the number of body movements per unit time, for example. The sleep determination unit 15 determines that the person is asleep if the number of body movements per unit time is equal to or less than a preset reference value. On the other hand, the sleep determination unit 15 determines that the person is awake if the number of body movements per unit time is greater than a preset reference value. Note that for the determination of sleep/wakefulness, for example, not only the number of body movements but also the number of breathing per unit time or a combination thereof may be used.

The sleep determining unit 15 determines the depth of sleep in response to determining whether the user is asleep or awake.

The depth of sleep is divided into non-REM sleep and REM sleep. Non-REM sleep is divided into stages 1 to 4 depending on the depth of sleep, for example. There is also a cycle in the depth of sleep. In the deep sleep cycle, non-REM sleep and REM sleep are usually repeated alternately. In general, in adults, the depth of sleep during non-REM sleep increases in the order of stage 1 to stage 4 after falling asleep, and reaches stage 4 within about an hour after falling asleep. The depth of sleep becomes shallow after stage 4, and then reaches REM sleep after stage 1. The depth of sleep in stage 1 is, for example, shallow compared to other stages 2 to 4. The depth of REM sleep is shallower than that of NREM sleep. For example, if the sleep time from falling asleep to waking up is 6 to 8 hours and the length of one deep sleep cycle is 90 minutes, REM sleep will be repeated 3 to 5 times.

Stage 1 may be extracted by the number of body movements per unit time. The number of body movements tends to increase in stage 1 before and after REM sleep, particularly in stage 1 immediately after REM sleep. The lightest sleep can be extracted by stage 1 detection where the number of body movements increases. If REM sleep can be extracted based on breathing rate or heart rate other than body movement rate, or a combination thereof, REM sleep may be determined as the lightest sleep. That is, the lightest sleep may be understood as stage 1 of non-REM sleep or as REM sleep.

The sleep determining unit 15 obtains bedtime when the sensor 14 determines that there is a person in the bed. In addition, the sleep determination unit 15 obtains data 19 regarding other sleep contents by determining sleep/wakefulness and sleep depth. The data 19 regarding the content of sleep includes, for example, bedtime, sleep onset time, number of mid-awakenings, awakening time, wake-up time, number of REM sleeps, and number of non-REM sleeps. Note that the awakening time in this specification refers to the awakening time before waking up, not the time when the person wakes up midway.

The sleep determination unit 15 uses the sensor to determine the time at which the signal was acquired from the sensor 14, the signal from the sensor 14, or the respiratory rate, heart rate, and body movement rate based on the signal from the sensor 14, data 19 regarding the content of sleep, etc. It is stored in a memory (not shown) within the device 11. Note that the sleep determination unit 15 may store these in a memory external to the sensor device 11 or in the memory 35 of the mobile terminal device 12.

The sleep determining unit 15 calculates a sleep index 16 in response to determining that the user has woken up.

The sleep index 16 is an index related to sleep calculated based on the signal output from the sensor 14. The sleep index 16 in this embodiment uses sleep efficiency, sleep time, number of mid-wake ups, sleep onset latency, and sleep quality. Note that the sleep index 16 is not limited to these indicators, and known ones such as mid-awakening time, REM sleep time, or non-REM sleep time may be used, and at least one of these may be used. You can.

Sleep efficiency is calculated by dividing the time from the time you fall asleep to the time you wake up by the time from the time you go to bed to the time you wake up.

Sleep time represents the time from the time of falling asleep to the time of awakening.

The number of times of mid-awakening is the number of times the user wakes up from falling asleep to waking up before getting up.

Sleep onset latency is the time from bedtime to sleep onset time.

Sleep quality is determined by dividing the number of REM sleeps by the sum of the number of REM sleeps and the number of non-REM sleeps.

As shown in FIG. 2, the mobile terminal device 12 mainly includes a network I/F 31, an input I/F 32, a display 33, a CPU 34, a memory 35, a communication bus 36, and a clock 37. . The components constituting the mobile terminal device 12 are interconnected through a communication bus 36.

The network I/F 31 is an interface that can communicate with external devices such as the sensor device 11. That is, in this embodiment, the mobile terminal device 12 transmits various information to the sensor device 11 through the network I/F 31 and receives various information from the sensor device 11 through the network I/F 31. Although the specific communication procedure of the network I/F 31 is not particularly limited, for example, Wi-Fi (registered trademark) can be adopted. Moreover, when the mobile terminal device 12 and the sensor device 11 are connected by a USB cable, the network I/F 31 may be a USB interface to which the USB cable can be attached and detached.

The input I/F 32 is a user interface that accepts input operations by the user. Specifically, the input I/F 32 has a button, and outputs various operation signals associated with the pressed button to the CPU 34. Furthermore, an operation of the input I/F 32 to specify an object displayed on the display surface of the display 33 and an operation of inputting a character string or a number string are examples of user operations. The "object" is, for example, a character string, icon, button, link, radio button, check box, pull-down menu, etc. displayed on the display 33.

The input I/F 32 implemented as a touch sensor outputs position information indicating the position on the display surface touched by the user. Note that "touch" in this specification includes all operations of bringing an input medium into contact with a display surface. In addition, "hover" or "floating touch", which brings the input medium close to the display surface even if it is not touching the display surface, is based on the concept of "touch" mentioned above. May be included. Furthermore, the input medium may be a user's finger, a touch pen, or the like. A user operation of tapping the position of an object displayed on the display 33 is an example of an operation input for specifying the object. The input I/F 32 is an example of an input section.

The display 33 is a liquid crystal display, an organic EL display, or the like, and includes a display screen that displays various information. The display is an example of a display unit.

The CPU 34 controls the overall operation of the mobile terminal device 12. The CPU 34 acquires various programs to be described later from the memory 35 and executes them based on various information received from an external device through the network I/F 31 and various information output from the input I/F 32. The CPU 34 is an example of the control unit 26.

The memory 35 stores an OS 38 and an evaluation program 39. Further, the memory 35 stores data, information, etc. necessary for executing each program. The memory 35 is configured by, for example, a RAM, a ROM, an EEPROM, an HDD, a portable storage medium such as a USB memory that can be attached to and detached from the mobile terminal device 12, a buffer included in the CPU 34, or a combination thereof. The memory 35 is an example of a storage section.

The clock 37 outputs date and time information. The date and time information output by the clock 37 is temporarily stored in the memory 35. Note that the clock 13 provided in the bedroom may output the date and time information instead of the clock 37. The clock 13 is a so-called clock. The clock 13 may be a table clock, a wall clock, or a wristwatch. Further, the clock 13 may be another device capable of receiving time information from the outside. The clock 13 transmits date and time information to the mobile terminal device 12.

The OS 38 may be, for example, Android (registered trademark) OS, iOS (registered trademark), Windows Phone (registered trademark) Operating System, or the like.

The evaluation program 39 analyzes the sleep index 16 and the user evaluation 41 stored in the memory 35 to determine the relationship 43 between the sleep index 16 and the user evaluation 41. Furthermore, the evaluation program 39 analyzes the sleep index 16, the user evaluation 41, and the revised evaluation 42 stored in the memory 35, and updates the relationship 43 between the sleep index 16, the user evaluation 41, and the revised evaluation 42. Furthermore, the evaluation program 39 obtains an evaluation 44 from the sleep index 16 and the relationship 43.

The user evaluation 41 is an evaluation determined subjectively by the user. In this embodiment, the user evaluation 41 is an evaluation of the user's sleep, but is not limited to this and may be any other evaluation related to sleep. Other sleep-related evaluations include, for example, how refreshed you feel when you wake up, how tired and energetic you feel when you wake up, how shiny your skin is when you look in the mirror in the morning, or how bright you feel when you wake up. good. Further, the number of items in the user evaluation 41 may be one or more than one.

The modified evaluation 42 is an evaluation that the user has modified with respect to the evaluation displayed on the display 33 by the evaluation program 39.

The user evaluation 41, modified evaluation 42, and evaluation 44 are scores in this embodiment, but they may also be ranked codes such as "A, B, C...", explanatory words or sentences, or simply ○ or ○. It may be expressed by ×, a character's facial expression consisting of happiness, anger, sadness, or a combination of these.

The relationship 43 may be any expression that expresses the relationship between the sleep index 16, the user evaluation 41, and the corrected evaluation 42, and in this embodiment, it is a relational expression 45, which summarizes the errors between the user evaluation 41 and the evaluation 44. It may also be a correspondence table between the user evaluation 41 and the evaluation 44, or the like. Note that when there are multiple items of user evaluation 41 and revised evaluation 42, the relationship 43 may be determined for each item.

The relationship 43 is determined by multiple regression analysis 46 in this embodiment, but is not limited to this, and may be determined from the difference between the user evaluations 41 and the evaluations 44 or the correspondence between the user evaluations 41 and the evaluations 44. Further, the relationship 43 may be determined by a known analysis method.

Although the relationship 43 is determined by the evaluation program 39, it may also be determined by the sleep determination unit 15. Further, the evaluation displayed on the display 33 may be an evaluation by the sleep determination section 15 instead of the evaluation 44. In this case, the sleep determination unit 15 determines the relationship 43 and determines the evaluation based on the sleep index 16 and the relationship 43.

Further, the relationship 43 may be obtained by analyzing the sleep index 16 for one day and the user evaluation 41 and the revised evaluation 42, or by analyzing the sleep index 16 for a predetermined period and the user evaluation 41 and the revised evaluation 42. It may be determined by

[Operation of mobile terminal device 12]
Hereinafter, the operation of the CPU 34 of the mobile terminal device 12 in accordance with the instructions written in the evaluation program 39 according to the present embodiment will be explained with reference to FIG. Note that the processing by the CPU 34 also includes hardware control via the OS 38. Note that "acquisition" is used as a concept that does not require a request. That is, the process of receiving data without a request from the CPU 34 is also included in the concept of "the CPU 34 obtains data."

The evaluation program 39 acquires the sleep index 16 determined by the sleep determination unit 15 via the input I/F 32 (S11). The evaluation program 39 also stores the received sleep index 16 in the memory 35. The evaluation program 39 also checks whether the relational expression 45 exists in the memory 35 (S12). Note that the relational expression 45 is an example of the relationship 43.

In response to determining that the relational expression 45 is not present in the memory 35 (S12: No), the evaluation program 39 displays an object 51 for accepting the user evaluation 41 on the display 33 (S13). As shown in FIG. 4(A), the object 51 includes, for example, a text display such as "How many points did you score on your sleep today?" and an input field for the user to input the score. The user, for example, touches the input field of the object 51 and inputs the user evaluation 41. Note that the evaluation program 39 may display the sleep index 16 on the display 33 before displaying the object 51. In this case, the evaluation program 39 displays the object 51 after displaying the sleep index 16.

The evaluation program 39 stores the acquired sleep index 16, the received user evaluation 41, and date and time information based on the clock 37 in the memory 35 (S14). The evaluation program 39 reads the sleep index 16 and the user evaluation 41 from the memory 35, and analyzes the sleep index 16 and the user evaluation 41 by multiple regression analysis 46 (S15). The evaluation program 39 stores the relational expression 45 obtained by analyzing the sleep index 16 and the user evaluation 41 in the memory 35 (S16).

In this embodiment, the user evaluation 41 is the objective variable, and each sleep index 16, that is, sleep efficiency, sleep time, number of mid-wake ups, sleep onset latency, and sleep quality are explanatory variables. The evaluation program 39 calculates each coefficient of each sleep index 16 by multiple regression analysis 46, and generates a relational expression 45 as shown in FIG. 6(B).

The evaluation program 39 reads the relational expression 45 from the memory 35 in response to determining that the relational expression 45 exists in the memory 35 (S12: Yes). The acquired sleep index 16 is applied to the relational expression 45 read from the memory 35 to determine the evaluation 44 (S17). The evaluation program 39 stores the determined evaluation 44 and date and time information in the memory 35.

As shown in FIG. 4(B), the evaluation program 39 displays the determined evaluation 44 on the display 33 (S18). Also, at this time, the evaluation program 39 causes the display 33 to display an object 52 that accepts whether the user needs to modify the displayed evaluation (S19).

In response to the user's input indicating that correction is necessary (S19: Yes), the evaluation program 39 displays a message on the display 33 for accepting the correction evaluation 42, as shown in FIG. 5(A). The object 53 is displayed (S20). For example, the user touches the input field of the object 53 and inputs the modified evaluation 42. The modified evaluation 42 may be input using scores or characters, or may be input by selecting a code or character.

As shown in FIG. 3, the evaluation program 39 stores the acquired sleep index 16, the received corrected evaluation 42, and date and time information based on the clock 37 in the memory 35 (S21). The evaluation program 39 reads the sleep index 16 and the revised evaluation 42 from the memory 35 and analyzes the sleep index 16 and the revised evaluation 42 by multiple regression analysis 46. The evaluation program 39 stores the relational expression 45 obtained by analyzing the sleep index 16 and the modified evaluation 42 in the memory 35 in place of the stored relational expression 45 (S22).

When the evaluation program 39 accepts that no correction is necessary (S19: No), the evaluation program 39 stores the sleep index 16, the evaluation 44, and date and time information based on the clock 37 in the memory 35 (S23). At this time, the evaluation 44 is stored as the user evaluation 41.

Note that, as shown in FIGS. 6(A) and 6(B), the relational expression 45 is obtained in response to at least a predetermined number of days' worth of sleep index 16 and user evaluation 41 being stored in the memory. You can. In this case, the evaluation program 39 evaluates, for example, each sleep index 16 for one week, that is, sleep efficiency, sleep duration, number of mid-awakenings, sleep onset latency, and sleep quality, and the user evaluation 41 for one week. The relational expression 45 may be calculated by performing a multiple regression analysis 46. Note that in the example shown in FIG. 6, November 7, 2018 is the latest date. In this case, the evaluation program 39 also stores the modified evaluation 42 as the user evaluation 41 in the memory 35 (S21), and extracts the sleep index 16 from the memory 35 and the user evaluation including the corrected evaluation 42 stored as the user evaluation 41. 41 and are read out and both are analyzed by multiple regression analysis 46. The evaluation program 39 stores the obtained relational expression 45 in the memory 35 instead of the stored relational expression 45 (S22).

Note that the evaluation program 39 may skip step S15 and display the sleep index 16 on the display 33 in response to the fact that the sleep index 16 and user evaluation 41 for a predetermined number of days are not stored in the memory.

Note that the memory 35 stores a relational expression 45 prepared in advance before storing the user evaluation 41, and the evaluation program 39 calculates the evaluation 44 based on the sleep index 16 and the relational expression 45 prepared in advance. It may be calculated and the user's revised evaluation 42 may be accepted.

[Actions and effects of this embodiment]
In this embodiment, since the evaluation 44 is determined from an analysis of the sleep index 16 and the user's subjective evaluation, the user evaluation 41 can be predicted. Moreover, since the evaluation 44 is displayed on the display 33 of the mobile terminal device 12, the sleep evaluation based on the relationship 43 between the sleep-related index and the user evaluation 41 can be fed back to the user.

Furthermore, in this embodiment, since the evaluation 44 is determined based on the user's sleep index 16 and subjective evaluation, there is no need to create evidence based on experiments by test subjects in order to evaluate sleep.

Further, in this embodiment, since the user can input the modified evaluation 42 in response to the evaluation 44, the evaluation displayed on the display 33 by the evaluation program 39 can be brought closer to the user's feelings. Furthermore, in this embodiment, changes in the user's senses can be reflected in the evaluation.

[Modification 1]
In the above embodiment, an example has been described in which the sleep index 16 is calculated by the sleep determination unit 15. In modification 1, an example will be described in which the sleep index 16 may be calculated by the evaluation program 39, and each process is executed in order for the evaluation program 39 to calculate each sleep index 16. In Modification 1, the description of the same processes as in the above embodiment is omitted, and the process of the CPU 34 that is different from the above embodiment will be explained.

The sleep determining unit 15 outputs data 19 regarding the content of sleep to the mobile terminal device 12 in response to detecting that the user wakes up. As shown in FIG. 7, the evaluation program 39 acquires the data 19 output via the network I/F (S31). The evaluation program 39 stores the acquired data 19 in the memory 35 (S32).

The evaluation program 39 calculates each sleep index 16 based on the data 19 (S33). Note that step S33 is step S11 in this embodiment. Note that the evaluation program 39 in Modification 1 is an example of a generation unit.

[Operation and effect of modification 1]
Even if the sensor device 11 cannot calculate the sleep index 16, the evaluation program 39 can display the evaluation 44 on the display 33.

[Modification 2]
In the above embodiment, an example has been described in which the information processing system 100 mainly includes the sensor device 11 and the mobile terminal device 12. In the second modification, an example will be described in which the information processing system 100 may include the database device 17 and the information processing system 100 displays the evaluation 44 on the display 33. In Modification 2, the description of the same processes as in the above embodiment is omitted, and the process of the CPU 34 that is different from the above embodiment will be explained.

FIG. 8 is a block diagram of an information processing system 100 according to a second modification. As shown in FIG. 8, the sensor device 11, the mobile terminal device 12, and the database device 17 are configured to be able to communicate with each other via a communication network 18. A specific example of the communication network 18 is not particularly limited, but may be, for example, the Internet, a wired LAN, a wireless LAN, or a combination thereof. Alternatively, the sensor device 11, the mobile terminal device 12, and the database device 17 may be connected by a USB cable or the like.

The network I/F 31 is an interface that can communicate with external devices such as the sensor device 11. That is, in the second modification, the mobile terminal device 12 transmits various information to the sensor device 11 and the database device 17 through the network I/F 31, and receives various information from the sensor device 11 and the database device 17 through the network I/F 31. do. Although the specific communication procedure of the network I/F 31 is not particularly limited, for example, Wi-Fi (registered trademark) can be adopted. Further, when the mobile terminal device 12 and the sensor device 11 or the database device 17 are connected by a USB cable, the network I/F 31 may be a USB interface to which the USB cable can be attached and detached.

The database device 17 functions as a so-called server, and may be installed in the building where the bedroom 20 is located, or may be installed at a location other than the building where the bedroom 20 is located. As shown in FIG. 8, the database device 17 includes a sleep determination section 61. Although not shown in FIG. 8, the database device 17 has an interface for communicating information with the sensor device 11, the mobile terminal device 12, and the clock 13. The database device 17 receives the signal output by the sensor device 11.

The sleep determination unit 61 is a calculation device that calculates the sleep index 16 based on the signal output by the sensor device 11. Further, the sleep determination unit 61 analyzes the sleep index 16, the user evaluation 41, and the revised evaluation 42, and calculates a relational expression 45. The sleep determination unit 61 includes a CPU 62 and a memory 63. The sleep determining unit 61 is an example of a generating unit. The CPU 62 is an example of the control unit 26.

The sleep determination unit 61 can determine whether there is a person in the bed 25 or not. For example, the sleep determining unit 61 can determine that there is a person in the bed 25 based on the fact that the signal received from the sensor device 11 is greater than or equal to a predetermined output.

The sleep determining unit 61 periodically acquires the signal output by the sensor device 11 in response to determining that the person in the bed 25 is sleeping, and based on the acquired signal, determines the user's breathing, Heart rate and body movements are determined, and the user's sleep/wakefulness and sleep depth are determined for each unit time according to signal acquisition. Known techniques are used to determine breathing, heartbeat, and body movement from signals output by the sensor 14, and to determine sleep/wakefulness and depth of sleep. Further, the cycle at which the sleep determining unit 61 acquires the signal output by the sensor 14 is, for example, about 1 to 5 minutes.

The sleep determination unit 61 determines the time at which the signal was acquired from the sensor device 11, the signal from the sensor device 11, or the respiratory rate, heart rate, and body movement rate based on the signal from the sensor device 11, and data 19 regarding the content of sleep. is stored in the memory 63. Note that the sleep determination unit 15 may store these in a memory external to the database device 17 or in the memory 35 of the mobile terminal device 12.

The memory 63 stores data, information, etc. necessary for executing each program. The memory 63 is configured by, for example, a RAM, a ROM, an EEPROM, an HDD, a portable storage medium such as a USB memory that can be attached to and detached from the database device 17, a buffer provided in the CPU 62, or a combination thereof. The memory 63 is an example of a storage section.

[Operation of database device 17]
The operation of the CPU 62 of the database device 17 according to the second modification will be described below with reference to FIG. Note that "acquisition" is used as a concept that does not require a request. That is, the process of receiving data without a request from the CPU 62 is also included in the concept of "the CPU 62 obtains data."

The CPU 62 determines whether the user has woken up based on the signal output by the sensor device 11 (S41). In response to determining that the user has woken up (S41: Yes), the CPU 62 calculates and obtains the sleep index 16 (S42). Further, the CPU 62 stores the calculated sleep index 16 in the memory 63. The CPU 62 also checks whether the relational expression 45 exists in the memory 63 (S43). Note that the relational expression 45 is an example of the relationship 43. Note that the CPU 62 does not proceed to the next process until it determines that the user has woken up (S41: No).

In response to determining that the relational expression 45 does not exist in the memory 63 (S43: No), the CPU 62 displays the object 51 on the display 33, accepts the user evaluation 41, and sends a signal instructing to output it to the database device 17. It is output to the mobile terminal device 12 (S44). Note that the mobile terminal device 12 has an evaluation program 69. Further, the CPU 62 acquires the user evaluation 41 from the mobile terminal device 12 (S45).

The CPU 62 stores the calculated sleep index 16, the acquired user evaluation 41, and date and time information based on the clock 64 (not shown) in the database device 17 in the memory 63 (S46). The CPU 62 reads the sleep index 16 and the user evaluation 41 from the memory 63, and analyzes the sleep index 16 and the user evaluation 41 by multiple regression analysis 46 (S47). The evaluation program 39 stores the relational expression 45 obtained by analyzing the sleep index 16 and the user evaluation 41 in the memory 35 (S48). Note that the CPU 62 may obtain the date and time information using the clock 13, the clock 37, or another clock provided outside the database device 17.

The CPU 62 reads the relational expression 45 from the memory 63 in response to determining that the relational expression 45 exists in the memory 63 (S43: Yes). The acquired sleep index 16 is applied to the relational expression 45 read from the memory 63 to determine the evaluation 44 (S49). The CPU 62 stores the determined evaluation 44 and date and time information in the memory 63.

As shown in FIG. 4(B), the CPU 62 displays the determined evaluation 44 on the display 33 by outputting an instruction signal to the mobile terminal device 12 (S50). Further, at this time, the CPU 62 causes the display 33 to display an object 52 that accepts whether the user needs to modify the displayed evaluation 44 (S51).

In response to the user's input indicating that correction is necessary (S51: Yes), the CPU 62 causes the display 33 to display an object 53 for accepting the correction evaluation 42 (S52). The CPU 62 acquires the corrected evaluation 42 accepted by the mobile terminal device 12 (S53).

The CPU 62 stores the calculated sleep index 16, the obtained corrected evaluation 42, and date and time information based on the clock 64 in the memory 63 (S54). The CPU 62 reads the sleep index 16 and the revised evaluation 42 from the memory 63 and analyzes the sleep index 16 and the revised evaluation 42 by multiple regression analysis 46. The evaluation program 39 stores the relational expression 45 obtained by analyzing the sleep index 16 and the modified evaluation 42 in the memory 35 in place of the stored relational expression 45 (S55).

When the CPU 62 accepts that the correction is not necessary (S51: No), the CPU 62 obtains a signal indicating that the correction is not necessary from the mobile terminal device 12 (S56). Further, the CPU 62 stores the sleep index 16, the evaluation 44, and date and time information based on the clock 64 in the memory 35 (S57). At this time, the evaluation 44 is stored as the user evaluation 41.

Note that the CPU 62 may skip step S46 and display the sleep index 16 on the display 33 in response to the fact that the sleep index 16 and user evaluation 41 for a predetermined number of days are not stored in the memory.

[Operation and effect of modification 2]
In such a configuration, since the processing of the mobile terminal device 12 is relatively small, the burden on the mobile terminal device 12 is suppressed.

[Modification 3]
In the second modification, the sensor device 11 is configured to be able to communicate with the mobile terminal device 12 and the database device 17 through the communication network 18, but as shown in FIG. 12 and the communication network 18, but may be configured to be able to communicate with each other without going through the communication network 18. The sensor device 11 is connected to the mobile terminal device 12 by, for example, Wi-Fi (registered trademark) or Bluetooth (registered trademark). In modification 3, the database device 17 acquires the signal output from the sensor device 11 via the mobile terminal device 12.

[Operation and effect of modification 3]
The CPU 62 can display the evaluation 44 on the display 33 even if the sensor device 11 is not connected to a communication network.

[Modification 4]
In the embodiment described above, the evaluation program 39 stores various information in the memory 35, but as shown in FIG. 11, it may be stored in the memory 63 included in the database device 17.

FIG. 11 is a block diagram of an information processing system 100 according to a fourth modification. As shown in FIG. 11, the mobile terminal device 12 and the database device 17 are configured to be able to communicate with each other via a communication network 18. A specific example of the communication network 18 is not particularly limited, but may be, for example, the Internet, a wired LAN, a wireless LAN, or a combination thereof. Alternatively, the mobile terminal device 12 and the database device 17 may be connected by a USB cable or the like.

The database device 17 functions as a so-called server, and may be installed in the building where the bedroom 20 is located, or may be installed at a location other than the building where the bedroom 20 is located. As shown in FIG. 11, the database device 17 has a memory 63. Although not shown in FIG. 11, the database device 17 has an interface for communicating information with the mobile terminal device 12 and the clock 13. The database device 17 receives the signal output by the sensor device 11 via the mobile terminal device 12.

[Operation and effect of modification 4]
Since the memory 35 does not need to store various information, the evaluation program 39 can execute various processes even if the memory 35 has a relatively small capacity.

[Modification 5]
In the above embodiment, an example has been described in which the number of evaluation items of user evaluation 41, modified evaluation 42, and evaluation 44 is not particularly changed. In modification example 2, processing may be performed to change the number of evaluation items of user evaluation 41, modified evaluation 42, and evaluation 44, and an example will be described in which each process is executed to change the number of evaluation items. do. In Modification 2, the description of the same processes as in the above embodiment is omitted, and the process of the CPU 34 of the mobile terminal device 12 that is different from the above embodiment will be explained.

As shown in FIG. 12, in response to determining that there is no relational expression 45 in the memory 35 (S12: No), the evaluation program 39 displays an object 51 for accepting the user evaluation 41 on the display 33 ( S13). After receiving the user evaluation 41, the evaluation program 39 displays an object 54 for accepting a change in the number of items of the user evaluation 41, as shown in FIG. 5(B) (S61). The object 54 has, for example, "add" and "delete" icons in order to accept changes in the number of items.

When the evaluation program 39 accepts that the number of items in the user evaluation 41 will be changed, for example, added (S61: Yes), it displays an object 55 that requests determination of the items to be added (S62). The items to be added may be determined selectively, for example, as shown in FIG. 14(A), or may be determined by inputting numbers or letters by the user. Items to be added may be evaluations related to sleep, such as how refreshed you feel when you wake up, how tired or energetic you feel when you wake up, how shiny your skin is when you look in the mirror in the morning, or how bright you feel when you wake up. etc. Further, the number of items to be added at one time is not limited to one, but may be multiple.

The evaluation program 39 displays an object 56 for accepting user evaluations 41 for each item determined to be added, as shown in FIG. 14(B) (S63). The objects 56 may be displayed simultaneously or sequentially for each item determined to be added.

The evaluation program 39 stores the sleep index 16, each user evaluation 41, and date and time information based on the clock 37 in the memory 35, as shown in FIG. 13(A) (S64). The evaluation program 39 reads the sleep index 16 and each user evaluation 41 from the memory 35, and analyzes the sleep index 16 and each user evaluation 41 using multiple regression analysis 46 (S65). The evaluation program 39 stores each relational expression 45 obtained by analyzing the sleep index 16 and each user evaluation 41 in the memory 35, as shown in FIG. 13(B) (S66).

The evaluation program 39 reads the relational expression 45 from the memory 35 in response to determining that the relational expression 45 exists in the memory 35 (S12: Yes). An evaluation 44 by the program is determined from the acquired sleep index 16 and the relational expression 45 read from the memory 35 (S18). The evaluation program 39 stores the determined evaluation 44 and date and time information based on the clock 37 in the memory 35.

As shown in FIG. 4(B), the evaluation program 39 displays the determined evaluation 44 on the display 33 (S18). Also, at this time, the evaluation program 39 causes the display 33 to display an object 52 that accepts whether the user needs to modify the displayed evaluation (S19).

In response to the user input indicating that correction is necessary (S19: Yes), the evaluation program 39 displays an object for accepting the correction evaluation 42 on the display 33, as shown in FIG. 5(A). 53 is displayed (S20). After receiving the revised evaluation 42, the evaluation program 39 displays an object 54 for accepting a change in the number of items in the user evaluation 41 (S67).

When the evaluation program 39 accepts that no correction is necessary (S19: No), the evaluation program 39 displays an object 54 for accepting a change in the number of items of the user evaluation 41 on the display 33 (S67).

The evaluation program 39 changes the number of items in the user evaluation 41, for example, in response to acceptance of addition (S67: Yes), requests determination of items to be added, as shown in FIG. 14(A). The object 55 is displayed (S68).

The evaluation program 39 displays an object 56 for accepting user evaluations 41 for each item determined to be added, as shown in FIG. 14(B) (S69).

The evaluation program 39 stores the sleep index 16, each user evaluation 41, and date and time information based on the clock 37 in the memory 35, as shown in FIG. 13(A) (S70). The evaluation program 39 reads the sleep index 16 and each user evaluation 41 from the memory 35, and analyzes the sleep index 16 and each user evaluation 41 using multiple regression analysis 46 (S71). The evaluation program 39 stores each relational expression 45 obtained by analyzing the sleep index 16 and each user evaluation 41 in the memory 35, as shown in FIG. 13(B) (S72).

Note that, in response to accepting that the number of items in the user evaluation 41 will be changed, for example, deleted (S61: Yes, S67: Yes), the evaluation program 39 sends an object 57 (not shown) that requests determination of items to be deleted. ) is displayed (S62, S68). The object 57 selectively displays the items of the user evaluation 41 on the display 33. Furthermore, in this case, the evaluation program 39 skips steps S63 to S66 and steps S69 to S72.

[Operation and effect of modification 5]
In the fifth modification, since each evaluation 44 can be determined from the relationship 43 between the sleep index 16 and each user evaluation 41, it is possible to predict a plurality of user evaluations 41 regarding sleep. In addition, in the fifth modification, since the user evaluation 41 can be changed according to the user's judgment, each evaluation 44 based on the relationship 43 between the sleep index 16 and each user evaluation 41 can be changed to the user according to the user's intention. Can give feedback.

11...Sensor device 12...Mobile terminal device 14...Sensor 15...Sleep determination unit (an example of a generation unit)
16...Sleep index 17...Database device 17
26...Control unit 32...Input I/F
33...Display (an example of a display part)
34...CPU
35...Memory (an example of a storage section)
39... Evaluation program 41... User evaluation 42... Modified evaluation 43... Relationship 44... Evaluation 45... Relational expression 46... Multiple regression analysis 52... Object 61...・Sleep determination unit (an example of a generation unit)
62...CPU (an example of a control unit)
63...Memory (an example of a storage unit)
100... Information processing system (an example of an evaluation device)

Claims (6)

a sensor that detects a user's movement during sleep; a generation unit that generates a sleep-related index based on the output of the sensor; an input unit that receives an evaluation of the sleep by the user as a user evaluation; and a storage unit. , a display unit that displays the sleep-related evaluation based on the analysis of the index and the user evaluation as a display evaluation , the program being executable by an information processing system,
Acquisition processing for acquiring the above-mentioned indicators,
A reception process for accepting the above user evaluation,
storage processing for storing the index and the user evaluation in the storage unit;
an analysis process that determines the relationship between the index stored in the storage unit and the user evaluation;
a generation process that generates the display evaluation from the obtained index based on the relationship;
causing the information processing system to execute a display process of displaying the display evaluation on the display unit ;
After the above acquisition process, determine whether the above relationship is stored in the storage unit,
A program that displays the index on the display unit in response to determining that the relationship is not stored in the storage unit . The above program is
In the display process, displaying on the display section an object that accepts whether or not the user needs to correct the display evaluation;
In response to the fact that the user correction is necessary and accepted, the user input of the correction evaluation is accepted on the display unit,
storing the received revised evaluation and the acquired index in the storage unit;
The program according to claim 1, wherein the program updates the relationship by analyzing the index, the user evaluation, and the revised evaluation stored in the storage unit. The above user evaluation is a score,
3. The program according to claim 1, wherein the relationship is expressed by a relational expression. 4. The program according to claim 3 , wherein the program calculates the relational expression by multiple regression analysis. 5. The program according to claim 1, wherein the program determines the index based on the output of the sensor. A sensor that detects the user's movements while sleeping,
a generation unit that generates a sleep-related index based on the output of the sensor;
A mobile terminal comprising: an input section that receives an input of the evaluation of the sleep by the user as a user evaluation; a storage section; and a display section that displays the evaluation of the sleep based on the analysis of the index and the user evaluation as a display evaluation. a device;
comprising a control unit;
The above control section is
Acquisition processing for acquiring the above-mentioned indicators,
A reception process for accepting the above user evaluation,
storage processing for storing the index and the user evaluation in the storage unit;
an analysis process that determines the relationship between the index stored in the storage unit and the user evaluation;
a generation process that generates the display evaluation from the obtained index based on the relationship;
Displaying the display evaluation on the display unit ;
After the above acquisition process, determine whether the above relationship is stored in the storage unit,
An evaluation device that displays the index on the display unit in response to determining that the relationship is not stored in the storage unit .

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