JP7415614B2 - Programs and systems - Google Patents

Description

The present invention relates to a program that displays advice regarding a user's sleep.

Patent Document 1 discloses an information processing system that generates provided content from user conditions and health conditions. Specifically, a table is provided in which the user's personal information (user conditions), fatigue index/sleep index (health conditions), and advice to improve the index (provided content) are associated, and the table is associated with the provided content. When the specified user conditions and health conditions are met, the provided content is displayed.

Patent Document 2 discloses a program that determines advice from sleep evaluation scores. Specifically, it has a table that stores sleep evaluation scores and advice codes, and a table that stores advice codes and advice messages, and determines and outputs the advice message by referring to each table in turn.

Re-table 2015/107710 publication Japanese Patent Application Publication No. 2017-164580

In the information processing systems or programs described in Patent Documents 1 and 2, when giving advice on sleep-related indicators, there is a possibility that the same advice may be displayed many times in a short period of time. If the same advice is repeated, the user loses interest in the advice.

The present invention has been made in view of the above-mentioned circumstances, and its purpose is to provide a program that suppresses the same advice from being displayed repeatedly in a short period of time when giving advice on sleep-related indicators. Our goal is to provide the following.

(1) The program according to the present invention can be executed by an information processing device including a controller and a storage unit. a first acquisition process that acquires a plurality of sleep-related indicators generated based on the output of a sensor that detects the user's movements during sleep; a determination process that determines whether each of the plurality of indicators is abnormal; a selection process of reading out an indicator selected within a predetermined period from the storage unit and selecting one of the indicators that does not correspond to the read indicator, on the condition that the indicator is abnormal; The information processing device is caused to perform a storage process of storing an index in the storage unit, a second acquisition process of acquiring advice regarding the selected index, and an output process of outputting the acquired advice.

Concerning advice regarding abnormal sleep-related indicators, advice regarding the same indicator is suppressed from being outputted consecutively.

(2) Preferably, in the selection process, one of the indicators is selected based on the magnitude of correlation between each of the plurality of indicators that do not correspond to the indicators read from the storage unit and the user's sleep-related evaluation. .

Advice for indicators that have a relatively large influence on the user's sleep satisfaction is likely to be selected, rather than advice for indicators that have a relatively small influence on the user's sleep satisfaction.

(3) For example, the above-mentioned correlation is obtained by performing a simple regression analysis of each of the above-mentioned indicators and the above-mentioned evaluation.

(4) Preferably, at least one of the sleep-related times of bedtime, sleep onset time, wake-up time, and wake-up time is acquired based on the output of the sensor, and the acquired time is stored in the storage unit. Determine whether the time is abnormal, execute the above determination process on the condition that the time is determined to be not abnormal, and execute the above determination process on the condition that the time is determined to be abnormal. Instead, the information processing device is caused to execute a process of obtaining advice according to the time determined to be abnormal.

Even when it is determined that the above index is not abnormal, at least one of the bedtime, sleep onset time, awakening time, and wake-up time may be abnormal. In such a case, there is a possibility that an unusual situation has occurred to the user and that the user is aware of the situation. In such a case, advice corresponding to bedtime, falling asleep time, awakening time, or wake-up time can be output instead of advice corresponding to indicators related to sleep.

(5) Preferably, the information processing device further includes an input unit that receives user input. The information processing device is caused to perform a process of determining the index for which the determination process is not performed based on the user input.

If there is an indicator that is difficult to improve due to the user's personal circumstances, it is possible to avoid outputting advice regarding the indicator.

(6) For example, in the determination process, in response to determining that there is no abnormality in all of the indicators, the information processing apparatus is caused to execute a process of acquiring advice corresponding to the fact that there is no abnormality.

(7) For example, in the determination process, it is determined in stages that the plurality of indicators are abnormal, and in the second acquisition process, advice according to the level of abnormality of the selected indicator is acquired.

(8) For example, the information processing device further includes a display unit, and causes the information processing device to execute a process of displaying the advice outputted by the output process on the display unit.

(9) An information processing system according to the present invention includes a sensor that detects a user's movement during sleep, a generation unit that generates a plurality of sleep-related indicators based on the output of the sensor, a controller, and a storage unit. A device. The information processing device performs a first acquisition process of acquiring the plurality of indicators, a determination process of determining whether each of the plurality of indicators is abnormal, and a predetermined process on the condition that the plurality of indicators are abnormal. a selection process of reading the indicators selected within a period from the storage unit and selecting one of the indicators that does not correspond to the read indicator; a storage process of storing the selected indicator in the storage unit; and selection. A second acquisition process for acquiring advice regarding the index that has been obtained, and an output process for outputting the acquired advice are executed.

According to the program according to the present invention, when giving advice on indicators related to sleep, it is possible to suppress advice regarding the same indicator from being displayed many times in a short period of time.

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(A) is a diagram showing an example of the table 41, and FIG. 4(B) is a diagram showing an example of the table 42. 5A and 5B are display examples of the display 33, in which (A) is a diagram showing a screen 81 for accepting user input 71, and FIG. 5(B) is a diagram showing a screen 82 for accepting user input 72. . FIG. 6 is a diagram showing an example of the table 43. FIG. 7(A) is a display example of the display 33, and is a diagram showing the reception screen 83 of the evaluation 91, and FIG. 7(B) is an example of the ranking of the sleep index 16 based on the simple correlation coefficient 47. FIG. FIG. 8 is a diagram showing an example of the stored sleep index 16 and evaluation 91. FIG. 9 is a diagram showing an example of the table 45. 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.

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, a mobile terminal device 12, and a database device 17. Information processing system 100 is an example of a system. The mobile terminal device 12 is an example of the information processing device 10.

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, 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 sensor device 11 includes a sensor 14 and a network I/F (not shown). 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. Further, the sensor device 11 transmits the signal output by the sensor 14 to the database device 17.

As shown in FIGS. 1 and 2, the database device 17 functions as a so-called server, and may be installed in a building where the bedroom 20 is located, or may be installed in a building separate from the building where the bedroom 20 is located. It may be installed at a location. As shown in FIG. 2, the database device 17 includes a CPU 28, a memory 29, and a network I/F (not shown). The database device 17 receives the signal transmitted by the sensor device 11. The CPU 28 and the memory 29 constitute the sleep determination section 15.

The CPU 28 controls the overall operation of the database device 17. The CPU 28 acquires various programs from the memory 29 and executes them based on various information received from an external device through a network I/F (not shown).

The memory 29 stores data, information, etc. necessary for executing each program. The memory 29 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 28, or a combination thereof.

The sleep determination unit 15 is a calculation device that calculates the sleep index 16 based on the signal output by the sensor 14. Sleep determination section 15 calculates sleep index 16 based on a predetermined program stored in memory 29. The database device 17 outputs the sleep index 16 calculated by the sleep determination unit 15 to the mobile terminal device 12. The sleep determining unit 15 is an example of a generating unit. The sleep determination unit 15 stores the signal based on the sensor 14 received by the database device 17 in the memory 29 .

Although the method for calculating the sleep index 16 is not particularly limited, for example, the signal output 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-analyzing the signal output by the sensor 14. Further, the number of body movements can be obtained, for example, from the number of times the amplitude of the signal output by 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 output by the sensor 14 is equal to or higher than a predetermined output.

The sleep determining 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 based on the acquired signal, determines the user's breathing, heartbeat, 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 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. Also, there are cycles 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 one 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, shallower than in the 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 the bedtime 19A when the sensor 14 determines that there is a person in the bed. In addition, the sleep determination unit 15 obtains data regarding other sleep contents by determining sleep/wakefulness and sleep depth. The data regarding the content of sleep includes, for example, the four times 19: bedtime 19A, sleep onset time 19B, wake-up time 19C, and wake-up time 19D, the number of mid-awakenings, the number of REM sleeps, and the number of non-REM sleeps. Note that the wake-up time 19C in this specification refers to the wake-up time 19C before waking up, not the time when the person wakes up mid-way.

The sleep determination unit 15 determines the time at which the signal output by the sensor 14 was acquired, the signal from the sensor 14, or the respiratory rate, heart rate, and body movement rate based on the signal from the sensor 14, and data regarding the content of sleep. It is stored in the memory 29. Note that the sleep determination unit 15 may store these in a memory (not shown) in 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 sleep onset time 19B to wake-up time 19C by the time from bedtime time 19A to wake-up time 19D.

Sleep time represents the time from sleep onset time 19B to awakening time 19C.

The number of mid-awakenings 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 time 19A to sleep onset time 19B.

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.

The database device 17 transmits the bedtime 19A, the falling asleep time 19B, the awakening time 19C, the wake-up time 19D, and the calculated sleep index 16 to the mobile terminal device 12. Further, the database device 17 transmits advice to the mobile terminal device 12 based on a request from the mobile terminal device 12.

The mobile terminal device 12 receives the sleep index 16 and advice from the database device 17. 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 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 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 33 is an example of a display section.

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 controller 26.

The memory 35 stores an OS 38 and an advisory 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.

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

The advice program 39 mainly determines abnormality in the acquired sleep index 16, acquires advice regarding the selected one sleep index 16 from the table 41, and displays it on the display 33. When selecting the abnormal sleep index 16, the advisory program 39 refers to the selection information of the sleep index 16 and the ranking information of the sleep index 16 for the previous four days, which are stored in the memory 35.

The advisory program 39 determines whether the sleep index 16 is abnormal based on the threshold value stored in the memory 35. In this embodiment, the threshold value of each sleep index 16 is determined in advance. The advisory program 39 determines the sleep efficiency to be abnormal when the sleep efficiency is, for example, less than 0.85 or more than 0.9. The advisory program 39 determines that the sleeping time is abnormal when the sleeping time is, for example, longer or shorter than the user's normal sleeping time by more than 30 minutes. The advice program 39 determines that the number of mid-way awakenings is abnormal if the number of mid-way awakenings is, for example, one or more times. The advisory program 39 determines that the sleep onset latency is abnormal when the sleep onset latency is, for example, less than 10 minutes or more than 30 minutes. The advisory program 39 determines the sleep quality to be abnormal when the sleep quality is, for example, less than 0.44 or more than 0.66.

The user's normal sleeping time is the time based on user input 71. The user input 71 is the user's input to the object 51 (see FIG. 5A) displayed on the display 33 by the advisory program 39. Object 51 is displayed on display 33 when advisory program 39 is first activated on mobile terminal device 12 . The object 51 is provided with input fields for a bedtime time 19A and a wake-up time 19D, and the user inputs the bedtime time 19A and wake-up time 19D. The advisory program 39 determines the user's normal sleep time from the user input 71 and stores it in the memory 35 .

As shown in FIG. 4(A), the table 41 associates the sleep index 16 with advice. Table 41 is stored in memory 29. The advice program 39 sends the selected one abnormal sleep index 16 to the database device 17 and requests advice. The database device 17 transmits advice corresponding to the received sleep index 16 to the mobile terminal device 12. Note that when the advice program 39 determines that all sleep indicators 16 are not abnormal, it acquires advice corresponding to no abnormality from the database device 17 .

In addition, before determining whether the sleep index 16 is abnormal, the advice program 39 determines whether the bedtime 19A, sleep onset time 19B, wake-up time 19C, and wake-up time 19D are abnormal, and provides advice regarding the time 19 determined to be abnormal in the table 42. and displays it on the display 33.

The advisory program 39 determines the abnormality at time 19 based on the range stored in the memory 35. In this embodiment, the range of each time 19 is predetermined. The advisory program 39 determines that each time 19 is abnormal when each time 19 is outside a predetermined range. More specifically, when each acquired time 19 falls outside the three hours before and after the user's normal time 19, the advice program 39 determines that the time 19 is abnormal.

The user's normal bedtime 19A and wake-up time 19D are times based on user input 71. The user's normal sleep time 19B is, for example, a time 20 minutes after the user input 71 bedtime time 19A. The user's normal wake-up time 19C is, for example, 20 minutes before the wake-up time 19D of the user input 71.

As shown in FIG. 4(B), the table 42 associates time 19 with advice. Table 42 is stored in memory 29. The advice program 39 sends all abnormal times 19 to the database device 17 and requests advice. The database device 17 transmits all received advice corresponding to the time 19 to the mobile terminal device 12.

Furthermore, before determining whether the sleep index 16 is abnormal, the advisory program 39 determines the sleep index 16 that is not determined to be abnormal based on the received user input 72, and excludes the sleep index 16 from the determination of abnormality.

User input 72 is a user input to object 52 displayed by advisory program 39 . The advice program 39 causes the object 52 to be displayed on the display 33 before making the determination regarding the sleep index 16, as shown in FIG. 5(B). For example, object 52 is displayed on display 33 after advisory program 39 receives user input 71 . Note that the advice program 39 may display the object 52 after receiving the sleep index 16.

Object 52 is a question for the user regarding matters directly related to sleep habits. Questions include, for example, whether the patient is caring for or raising a child, whether the patient is an alcoholic, whether the patient has narcolepsy, whether the patient cannot sleep due to a sleep disorder, or whether the patient wakes up in the middle of the night due to a sleep disorder.

As shown in FIG. 6, the table 43 is for associating the user input 72 with the sleep index 16. The advice program 39 updates the table 43 with the user input 72 and determines that the sleep index 16 corresponding to the item determined by the user is not to be determined to be abnormal. In the examples shown in FIGS. 5B and 6, the advice program 39 accepts the user input 72 for the item "Wake up in the middle of the night to provide nursing care," and enters the user input 72 in the column of the same item in the table 43 as "Yes." ” I remember. By storing "Yes" in the column, the advice program 39 determines that the sleep index 16 that is not determined is the number of mid-way awakenings.

[Operation of mobile terminal device 12]
The operation of the CPU 34 according to the instructions written in the advisory program 39 according to this embodiment will be explained below 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 user starts the advisory program on the mobile terminal device 12. As shown in FIG. 3, when activated, the advice program 39 causes the object 51 to be displayed on the display 33 (S12) on the condition that the user input 71 is not stored in the memory 35 (S11: Yes). The user inputs his or her usual bedtime and usual wake-up time into the object 51 displayed on the display 33. The advice program 39 receives the user's input via the input I/F 32 and stores it in the memory 35 (S13). At this time, the advice program 39 stores the user's usual bedtime and usual wake-up time in the memory 35 as the user's usual bedtime and wake-up times 19A and 19D. Further, the advice program 39 may add 20 minutes to the user's normal bedtime time 19A to set the user's normal sleep time 19B, and reduce 20 minutes from the user's normal wake-up time 19D to set the user's normal wake-up time 19C. It is stored in the memory 35 as . Further, the advice program 39 stores, for example, a range of three hours before and after each time 19 as the range of the user's times 19 at the same time as setting each of the user's usual times 19 . The advisory program 39 also calculates the normal sleep time based on the user input 72 and stores it in the memory 35 .

After step S13, or on condition that the user input 71 is stored in the memory 35, the advice program 39 determines whether the startup of the advice program in the mobile terminal device 12 is the first time (S14). For example, the memory 35 stores a flag depending on whether or not the advisory program has been activated. The advice program 39 reads the flag and determines whether the advice program is started for the first time based on the value of the flag.

The advisory program 39 causes the object 52 to be displayed on the display 33 (S15) only when it is determined that the activation of the advisory program on the mobile terminal device 12 is the first time (S14: Yes). The object 52 includes, for example, a list of questions about matters directly related to sleeping habits, and check boxes for inputting answers to each question item. The user taps a corresponding item on the object 52 displayed on the display 33 to input a check.

The advisory program 39 accepts user input 72 for operations on the object 52 via the input I/F 32 . The advice program 39 stores the received user input 72 in the memory 35 (S16). The user input 72 is, for example, whether or not the user has checked the checkboxes for each item provided in the object 52. The advice program 39 stores a predetermined value for identifying the user input 72 as "Yes" for the item for which a check is input, and for identifying the user input 72 as "No" for the item for which the check is not input. .

The predetermined value is stored in the user input column 72 of the table 43 (see FIG. 6) stored in the memory 35 in association with each item. Further, the advice program 39 updates the flag stored in the memory 35 to the value indicating that activation has been executed.

The advice program 39 acquires the time 19 and the plurality of calculated sleep indices 16 from the database device 17 (S17). The timing at which the advice program 39 acquires the time 19 and the sleep index 16 from the database device 17 may be the timing at which the user starts the advice program 39, or may be determined in advance regardless of whether the user starts the advice program 39. The time 19 and the sleep index 16 may be acquired from the database device 17 at the set time. Step S17 is an example of the first acquisition process.

The advisory program 39 determines whether there is an abnormality at time 19 on the condition that time 19 has been acquired (S18). For example, the advisory program 39 reads the user's time range 19 stored in the memory 35. The advice program 39 compares the acquired time 19 and the read range. The advice program 39 sets a flag value for each time 19 depending on whether the time 19 is within the range.

The advice program 39 sends the time 19 determined to be abnormal to the database device 17 and obtains advice corresponding to time 19, on the condition that time 19 is determined to be abnormal (S18: Yes). . For example, the advisory program 39 determines for which time 19 the value of the flag is set, on the condition that the value of the flag corresponding to not being within the range is set at any of the times 19. A recognizable signal is transmitted to the database device 17 and an advice corresponding to the time 19 of the transmission is obtained. The database device 17 reads the advice corresponding to the received time 19 from the table 42 and transmits it to the mobile terminal device 12 .

The advice program 39 reads sleep indicators 16 that are not determined from the table 43 (S19), on the condition that it is determined that there is no abnormality at time 19 (S18: No). For example, the advisory program 39 refers to the table 43 and sets a predetermined value that is identified as "present" on the condition that a value of a flag corresponding to the time 19 is within the range is set. The sleep index 16 stored in the row of sleep indexes 16 to be determined corresponding to the user input 72 in which is stored is read out.

The advice program 39 determines whether the acquired sleep indexes 16 are abnormal, excluding the sleep indexes 16 that are not determined (S20). For example, the advice program 39 deletes the acquired value of the sleep index 16 that corresponds to the read sleep index 16. Further, the advice program 39 reads out the threshold value of each sleep index 16 stored in the memory 35. The advice program 39 compares the acquired sleep index 16 and the read threshold value. The advice program 39 sets a flag depending on whether each sleep index 16 is abnormal based on the threshold value.

The advice program 39 sends "no abnormality" to the database device 17 on the condition that it is determined that there is no abnormality in the sleep index 16 (S20: none), and obtains advice corresponding to "no abnormality" (S27 ). For example, the advisory program 39 may indicate that the value of the flag has been set for all the sleep indicators 16 on the condition that the value of the flag has been set according to the fact that none of the sleep indicators 16 are abnormal. A recognizable signal is transmitted to the database device 17, and advice corresponding to the transmitted sleep index 16 is obtained. The database device 17 reads out the advice corresponding to the received “no abnormality” from the table 41 and transmits it to the mobile terminal device 12 . Note that step S20 is an example of determination processing.

The advice program 39 stores the sleep index 16 determined to be abnormal in the memory 35, on the condition that any one sleep index 16 is determined to be abnormal (S20: one). For example, the advisory program 39 counts the sleep index 16 to which a flag value corresponding to abnormality is set. The advisory program 39 stores the sleep index 16 in which the value of the flag corresponding to the abnormality is set on the memory 35 together with the date and time information based on the clock 37 on the condition that the recorded result is "1". to be memorized.

The advice program 39 transmits the sleep index 16 determined to be abnormal to the database device 17, and obtains advice corresponding to the abnormal sleep index 16 (S26). For example, the advisory program 39 transmits to the database device 17 a recognizable signal indicating for which sleep index 16 a flag value corresponding to abnormality has been set, and determines which sleep index 16 corresponds to the transmitted sleep index 16. Get advice. The database device 17 reads advice corresponding to the received sleep index 16 from the table 41 and transmits it to the mobile terminal device 12 .

The advisory program 39 reads out the sleep indicators 16 selected in the last four days from the memory 35 (S21), on the condition that a plurality of sleep indicators 16 are determined to be abnormal (S20: plural). For example, the advisory program 39 counts the sleep index 16 to which a flag value corresponding to abnormality is set. The advice program 39 reads out the sleep index 16 selected in the last four days stored in the memory 35 on the condition that the calculated result is "2" or more. Further, the advice program 39 reads out the ranking of the sleep index 16 from the memory 35.

The advisory program 39 selects one sleep index 16 with priority given to an abnormal sleep index 16 that is ranked high in the predetermined sleep index 16 and does not correspond to the read sleep index 16 (S22). For example, the advisory program 39 selects the sleep time when the sleep efficiency and the sleep time are determined to be abnormal, the sleep efficiency is higher than the sleep time, and the sleep efficiency is read as the selected sleep index 16. In addition, the advisory program 39 determines that sleep time, number of mid-wake ups, and sleep onset latency are abnormal, and determines that sleep time, number of mid-wake ups, and sleep onset latency are high in that order, and the selected sleep index 16 is sleep. When the time is read out, select the number of mid-wakes. In addition, the advisory program 39 determines that sleep time, number of mid-wake ups, sleep onset latency, and sleep quality are abnormal, and determines that sleep time, number of mid-wake ups, sleep onset latency, and sleep quality are ranked higher in the order. , when all of these are read out as the selected sleep index 16, the sleep time is selected. Note that step S22 is an example of selection processing.

The advice program 39 stores the selected sleep index 16 in the memory 35 along with date and time information based on the clock 37 (S23). The advice program 39 transmits the selected sleep index 16 to the database device 17 and obtains advice corresponding to the selected sleep index 16 (S24). For example, the advice program 39 transmits a recognizable signal indicating which sleep index 16 has been selected to the database device 17, and obtains the advice corresponding to the transmitted sleep index 16. The database device 17 reads advice corresponding to the received sleep index 16 from the table 41 and transmits it to the mobile terminal device 12 . Note that step S23 is an example of storage processing. Note that step S24 is an example of the second acquisition process.

The advice program 39 displays the acquired advice on the display 33 (S29). Note that step S29 is an example of output processing.

Note that the information processing device 10 is not limited to the mobile terminal device 12, and may be a PC or a device with a built-in CPU, such as a home appliance such as an air conditioner installed in the bedroom 20. Further, in this embodiment, the advice is output by being displayed on the display 33 of the mobile terminal device 12, but it may be displayed on the display of another device or device, or it may be output as audio. You can.

Note that the information processing system 100 may further include a clock 13 installed in the bedroom 20. Note that although the clock 37 outputs the date and time information in this embodiment, the clock 13 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.

In this embodiment, the object 52 is displayed only when the advice program 39 is started for the first time (S14), but the object 52 is not limited to this and may be displayed periodically. The advice program 39 displays the object 52 on the display 33 every three months, for example, and updates the table 43 every time it receives a user input 72.

Note that each threshold value of the sleep index 16 is determined in advance in this embodiment, but may also be determined from other user inputs, information regarding the user's sleep stored in each memory 29, 35, or a combination thereof. Good too. Moreover, the threshold value of each sleep index 16 may be changed as appropriate by updating the advisory program 39, etc., and may be changed for each season.

In addition, each range of the time 19 is predetermined in this embodiment, but similarly to each threshold value of the sleep index 16, it may be determined and changed.

Note that although the user's normal sleeping time and time 19 were determined based on the user input 71, they may be changed by calculating the average over a predetermined period of time, provided that a predetermined period of time has been stored. The predetermined period is, for example, the immediately preceding week, one month, or three months. Moreover, it may be changed depending on the season.

Note that the time 19 acquired in step S17 may be at least one. Further, the advice for time 19 may be obtained by selecting at least one of the abnormal times 19. Further, the advice program 39 may obtain the time 19 and the sleep index 16 separately.

In addition, although the sleep index 16 read in step S21 is the most recent four days in this embodiment, it may be within a predetermined period, for example, the previous day, the most recent two days, or the most recent one week. Further, the sleep index 16 to be read may be, for example, the most recent n-1 days, where n is the number of items of the sleep index 16 to be determined.

Note that in step S22, a predetermined ranking is used, but a random number may be used instead of the ranking.

Although the number of items in the sleep index 16 is five in this embodiment, it may be at least two or more. Further, as the sleep index 16, other sleep indexes 16 not shown in this embodiment may be used. For example, the sleep index 16 may include the time when the core body temperature is the lowest. The advisory program 39 determines that the time when the core body temperature is lowest is abnormal when the time when the core body temperature is lowest is more than 30 minutes earlier or later than the time 2 hours before the normal wake-up time 19D. Note that the information processing system 100 further includes a thermometer for measuring core body temperature at this time. Any known thermometer may be used as long as it can measure core body temperature. Further, the sleep determination unit 15 may estimate the core body temperature based on the output of the sensor 14.

Note that the advice in tables 41 and 42 in FIGS. 4(A) and 4(B) is an example of advice, and is not limited to this, as long as it is related to the corresponding sleep index 16 or time 19, and may be changed as appropriate. May be changed.

Note that the items shown in the object 52 are an example of accepting user input 72, and other items may be shown. Further, the table 43 shown in FIG. 6 is an example of a means for determining the sleep index 16 that is not determined, and is not limited thereto. Further, the sleep index 16 that is not determined and corresponds to the item is not limited to the example shown in FIG. 6, and is set as appropriate depending on the item.

Note that, before acquiring the advice for the abnormal time 19, a selection process similar to that for the abnormal sleep index 16 may be executed to select one time 19.

If there is no abnormality in the sleep index 16, the same selection process as for the abnormal sleep index 16 may be executed, and advice corresponding to the selected one sleep index 16 may be output.

Note that the various information stored in the memory 29 may be stored in the memory 35. Further, various information stored in the memory 35 may be stored in the memory 29.

Although the sleep determination unit 15 is configured from the CPU 28 and the memory 29, it may also be configured from the CPU 34 and the memory 35.

[Operations and effects of this embodiment]
In this embodiment, when giving advice regarding the abnormal sleep index 16, advice with the same content is suppressed from being output repeatedly within a predetermined period.

Further, the advice program 39 outputs advice regarding no abnormality on the condition that the sleep index 16 determines that there is no abnormality, but if the time 19 is not determined, then the advice program 39 outputs advice regarding no abnormality. Even if any of the wake-up times 19D is abnormal, this will not be reflected in the advice. Even in such a case, in this embodiment, since the abnormality at time 19 is determined, advice can be displayed in response to the fact that time 19 is abnormal. Furthermore, in this embodiment, by determining the time 19 before determining the sleep index 16, advice can be displayed without determining the sleep index 16.

Furthermore, in this embodiment, user input 72 is accepted and sleep indicators 16 that are not to be determined are determined. A sleep index 16 that is not determined does not become a sleep index 16 for obtaining advice. Therefore, in this embodiment, if there is a sleep index 16 that is difficult to improve due to the user's personal circumstances, it is possible to avoid outputting advice for the sleep index 16.

[Modification 1]
In the embodiment described above, an example has been described in which rank is used as one of the criteria for selecting one sleep index 16 when there are a plurality of sleep indexes 16 determined to be abnormal. In modification 1, an example will be described in which the ranking is updated based on the magnitude of the correlation between each of the sleep indicators 16 and the user's sleep-related evaluation 91. 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.

After displaying the acquired advice on the display 33 (S29), the advice program 39 displays an object 53 on the display 33 for accepting the evaluation 91. As shown in FIG. 7(A), the object 53 has, for example, a text display that says "How many points did you score for your sleep today?" and an input field for the user to enter the score. . For example, the user touches the input field of the object 53 and inputs the evaluation 91.

As shown in FIG. 8, the advisory program 39 writes the acquired sleep index 16, the received evaluation 91, and date and time information based on the clock 37 into the table 44 and stores it in the memory 35. In the example shown in FIG. 8, the table 44 stores the sleep index 16 acquired by the advisory program 39 and the received evaluation 91 from November 1, 2018 to November 7, 2018.

The advisory program 39 reads out the sleep index 16 and the evaluation 91 from the table 44 stored in the memory 35, on the condition that the sleep index 16 and the evaluation 91 have been accumulated in the table 44 for a predetermined period, and sets the sleep index 16 and the evaluation 91 respectively. Evaluation 91 is analyzed by simple regression analysis. Note that the predetermined period is, for example, one week, but is not limited to this, and may be three days, two weeks, one month, etc.

As shown in FIG. 7(B), the advisory program 39 calculates a single correlation coefficient 47 for each sleep index 16 by simple regression analysis, and ranks the sleep index 16 in the table 48 in descending order of the single correlation coefficient 47. change. The table 48 associates each sleep index 16, the simple correlation coefficient 47, and the rank for each sleep index 16. Table 48 stores in advance the rankings of predetermined sleep indicators 16. For example, the advisory program 39 performs a simple regression analysis of sleep efficiency and evaluation 91 from November 1, 2018 to November 7, 2018 shown in FIG. 0.93” is stored in the table 48. Similarly, the advice program 39 stores each value of the obtained simple correlation coefficient 47 in the table 48 for the other sleep indicators 16. The advisory program 39 determines the ranking of the sleep indicators 16 in descending order of the values of the simple correlation coefficients 47 stored in the table 48 on the condition that the values of the simple correlation coefficients 47 of all the sleep indicators 16 have been calculated. Then, the rank column of the table 48 is updated with the relevant rank. Note that the single correlation coefficient 47 is an example of correlation.

[Operation and effect of modification 1]
It is possible to prevent advice from being given first to indicators that have a relatively low impact on the user's sleep satisfaction.

[Modification 2]
In the embodiment described above, advice is obtained regardless of the stage of abnormality of each sleep index 16. For example, the advice program 39 obtained the same advice whether the sleep efficiency was less than 0.85 or more than 0.9. In modification 2, an example will be described in which advice is obtained according to the stage of abnormality of each sleep index 16. In Modification 2, the description of the same processing as in the above embodiment is omitted, and the processing of the CPU 34 that is different from the above embodiment will be explained.

After selecting one sleep index 16 from the plurality of sleep indexes 16 determined to be abnormal (S22), the advisory program 39 determines the stage of the selected sleep index 16 when acquiring the selected sleep index 16 (S23). The sleep index 16 with corresponding information is sent to the database device 17. For example, in step S20, the advisory program 39 compares the acquired sleep index 16 with the read threshold, and further performs the following on the sleep index 16 for which a flag value corresponding to abnormality has been set. Set flag values according to the grading as shown in the example. The database device 17 reads out the received sleep index 16 and advice according to its stage from the table 45 (see FIG. 9) stored in the memory 29, and transmits it to the mobile terminal device 12.

The sleep index 16 is classified into stages as follows, for example. Sleep efficiency is graded A when it exceeds 0.9, and grade B when it is less than 0.85. Sleep time is classified as stage A when it is shorter than the user's normal sleep time by more than 30 minutes, and stage B when it is longer than the user's normal sleep time by more than 30 minutes. The number of mid-way awakenings is considered to be stage A when it occurs once, and stage B when it occurs twice or more. Sleep onset latency is classified as stage A when it is less than 10 minutes, and stage B when it exceeds 30 minutes. Sleep quality is classified as grade A when it is less than 0.44, and grade B when it exceeds 0.66.

As shown in FIG. 9, the table 45 associates the sleep index 16 with advice for each stage of each sleep index 16. Table 45 is stored in memory 29.

In addition, in modification 2, after determining that any one sleep index 16 is abnormal (S20: one), when obtaining advice corresponding to the sleep index 16 determined to be abnormal (S26), The table 45 is also used.

[Operation and effect of modification 2]
Since advice is output according to the stage of abnormality of each sleep index 16, it is possible to provide the user with advice that is relatively suitable for the user's abnormality.

[Modification 3]
In the above embodiment, the CPU 28 and the memory 29 of the database device 17 constitute the sleep determining section 15, but as shown in FIG. 10, the sensor device 11 includes a CPU 61 and a RAM 62, The determination unit 15 may also be configured. In the third modification, the sensor device 11 may be able to communicate with the mobile terminal device 12 and the database device 17 through the communication network 18, as in the above embodiment; It may also be configured to be able to communicate with each other without going through the network. 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.

[Modification 4]
In the above embodiment, the information processing system 100 includes the sensor device 11, the mobile terminal device 12, and the database device 17. However, as shown in FIG. and a mobile terminal device 12. In modification 3, various information is stored in the memory 35. Further, various information including advice is acquired from the memory 35.

10... Information processing device 11... Sensor device 12... Mobile terminal device 14... Sensor 15... Sleep determination unit (an example of a generation unit)
16...Sleep index 19...Time 19A...Bedtime time 19B...Sleep onset time 19C...Awakening time 19D...Wake-up time 32...Input I/F (an example of an input part)
33...Display (an example of a display part)
34...CPU (an example of a controller)
35...Memory (an example of a storage section)
39...Advice program 47...Single correlation coefficient (an example of correlation)
100... Information processing system

Claims (9)

A program executable by an information processing device including a controller and a storage unit,
a first acquisition process of acquiring , as a first index, a plurality of sleep-related indicators generated based on the output of a sensor that detects the user's movements during sleep;
a first determination process that determines whether each of the plurality of first indicators is abnormal based on a predetermined threshold ;
a selection process of selecting one of the first indicators determined to be abnormal as a second indicator ;
a first storage process for storing the second index in the storage unit;
a second acquisition process of acquiring advice corresponding to the second index from among the advice stored in advance in the storage unit corresponding to each of the first index ;
causing the information processing device to perform an output process of outputting the acquired advice;
In the selection process, on the condition that a plurality of the first indicators are abnormal, the second indicators stored in the storage unit in the most recent predetermined period are read out, and one which does not correspond to the read second indicators is read out. A program in which the first index is selected as a new second index from the first index that is abnormal . a third acquisition process of acquiring an evaluation of the user's sleep;
further causing the information processing device to perform a second storage process of storing the acquired evaluation in the storage unit;
In the selection process, the new second index is selected from the plurality of first indexes determined to be abnormal based on the magnitude of correlation with the user's sleep-related evaluation stored in the storage unit. The program according to claim 1 , which is selected . 3. The program according to claim 2, wherein the correlation is obtained by performing a simple regression analysis on each of the first indicators and the evaluation. a fourth acquisition process of acquiring at least one sleep-related time of bedtime, sleep onset time, wake-up time, and wake-up time based on the output of the sensor;
a second determination process of determining that the acquired time is abnormal with respect to the time when it is outside a predetermined time range stored in advance in the storage unit;
On the condition that the above-mentioned time is determined to be abnormal, the above- mentioned bedtime time, the above-mentioned sleep-fall time, the above-mentioned wake-up time, and the above-mentioned wake-up time are stored in advance in the storage unit without executing the above-mentioned first determination process. A fifth acquisition process is executed on the information processing device to acquire advice corresponding to the bedtime, the sleep-fall time, the wake-up time, and the wake-up time that are determined to be abnormal among the advice that has been given . let me ,
The above output process outputs advice corresponding to the above time,
4. The program according to claim 1, wherein the first determination process is executed on the condition that the time is determined to be normal . The information processing device further includes an input unit that receives user input,
a reception process that accepts input of answers to matters directly related to sleeping habits as the user input;
a determination process for determining the first index for which the first determination process is not performed , based on the user input and the correspondence relationship to the first index predetermined in the above matter; The program according to any one of claims 1 to 4, which is executed by. In the first determination process, in response to determining that there is no abnormality in all of the first indicators, in the second acquisition process, the advice stored in advance in the storage unit in response to the fact that there is no abnormality. The program according to any one of claims 1 to 5, which acquires. In the first determination process, the abnormality of the first index is divided into cases based on the plurality of threshold values predetermined for each value of the first index ,
In the second acquisition process, advice regarding the first index selected as the second index is obtained from among the advice regarding the abnormality stored in advance in the storage unit in accordance with the case classification of the abnormality with respect to the first index. The program according to any one of claims 1 to 6 to be acquired. The information processing device further includes a display section,
8. The program according to claim 1, which causes the information processing device to execute a process of displaying the advice outputted by the output process on the display unit. A system comprising: a sensor that detects a user's movements during sleep; a generation unit that generates a plurality of sleep-related indicators based on the output of the sensor; an information processing device that includes a controller; and a storage unit, the system comprising:
The above information processing device is
a first acquisition process of acquiring the plurality of indicators as a first index ;
a first determination process that determines whether each of the plurality of first indicators is abnormal based on a predetermined threshold ;
a selection process of selecting one of the first indicators determined to be abnormal as a second indicator ;
a first storage process for storing the second index in the storage unit;
a second acquisition process of acquiring advice corresponding to the second index from among the advice stored in advance in the storage unit corresponding to each of the first index ;
Execute an output process to output the obtained advice ,
In the selection process, on the condition that a plurality of the first indicators are abnormal, the second indicators stored within the most recent predetermined period are read out, and one of the first indicators that does not correspond to the read second indicators is read out. A system in which one index is selected as a new second index from the first index that is abnormal .

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