JP2021124750A - Program and system - Google Patents

Abstract

To provide a program for preventing advice having the same content from being repeatedly displayed for a short period, when giving advice to an index related to sleep.SOLUTION: An advisory program 39 causes an information processing device 10 to perform: first acquisition processing (S17) for acquiring a plurality of sleep indices 16 related to sleep generated on the basis of an output of a sensor 14 that detects movements of a user during sleep; determination processing (S20) for determining whether each of the plurality of sleep indices 16 is abnormal; selection processing (S22) for reading sleep indices 16, selected during a predetermined period, from a memory 35 on condition that the plurality of sleep indices 16 are abnormal, and for selecting one sleep index 16 not corresponding to the read sleep indices 16; storage processing (S23) for storing the selected sleep index 16 in the memory 35; second acquisition processing (S24) for acquiring an advice related to the selected sleep index 16; and output processing (S29) for outputting the acquired advice.SELECTED DRAWING: Figure 3

Description

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

Patent Document 1 discloses an information processing system that generates provided contents from user conditions and health conditions. Specifically, a table is provided that associates the user's personal information (user conditions), fatigue index / sleep index (health condition), and advice for improving the index (provided content), and is associated with the provided content. When the specified user conditions and health conditions are satisfied, the content of the provision is shown.

Patent Document 2 discloses a program for determining advice from a sleep evaluation score. Specifically, it has a table in which the sleep evaluation score and the advice code are stored and a table in which the advice code and the advice message are stored, and the advice message is determined and output by referring to each table in order.

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

In the information processing system or program described in Patent Documents 1 and 2, when giving advice on an index related to sleep, 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 an object thereof is a program for suppressing the display of the same advice many times in a short period of time when giving advice on sleep-related indicators. Is to provide.

(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 for acquiring a plurality of sleep-related indexes generated based on the output of a sensor that detects a user's sleep movement, a determination process for determining whether the plurality of indexes are abnormal, and a plurality of indexes. On condition that the above-mentioned index is abnormal, a selection process of reading out the selected index within a predetermined period from the above-mentioned storage unit and selecting one of the above-mentioned indexes that does not correspond to the read-out index, and the selected above-mentioned The information processing apparatus is made to execute a storage process for storing the index in the storage unit, a second acquisition process for acquiring advice regarding the selected index, and an output process for outputting the acquired advice.

Regarding advice on abnormal sleep indicators, continuous output of advice on the same indicators is suppressed.

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

It is easy to select advice for indicators that have a relatively large effect, rather than advice for indicators that have a relatively small effect on the user's sleep satisfaction.

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

(4) Preferably, the time related to at least one of the bedtime, the sleep onset time, the awakening time, and the wake-up time based on the output of the sensor is acquired, and the acquired time is stored in the storage unit. It is determined whether the time is abnormal, the above determination process is executed on the condition that the above time is not abnormal, and the above determination process is executed on the condition that the above time is determined to be abnormal. Instead, the information processing apparatus is made to execute a process of acquiring advice according to the time when it is determined to be abnormal.

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

(5) Preferably, the information processing apparatus further includes an input unit that accepts user input. The information processing apparatus is made to execute the process of determining the index which does not execute the determination process based on the user input.

When there is an index that is difficult to improve due to the personal circumstances of the user, it is possible to avoid outputting advice for the index.

(6) For example, in the determination process, the information processing apparatus is made to execute a process of obtaining advice corresponding to the absence of an abnormality in response to the determination that all of the indicators are normal.

(7) For example, in the determination process, it is determined step by step that the plurality of indexes are abnormal, and in the second acquisition process, advice according to the abnormal stage of the selected index 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 output by the output process on the display unit.

(9) The system according to the present invention includes an information processing unit including a sensor that detects an operation during sleep of a user, a generation unit that generates a plurality of indexes related to sleep based on the output of the sensor, a controller, and a storage unit. It is equipped with a device. The information processing apparatus is predetermined on the condition that the first acquisition process of acquiring the plurality of indexes, the determination process of determining whether the plurality of indexes are abnormal, and the condition that the plurality of indexes are abnormal. A selection process of reading out the index selected within the period from the storage unit and selecting one of the indexes that does not correspond to the read index, and a storage process of storing the selected index in the storage unit, and selection. The second acquisition process for acquiring the advice regarding the above-mentioned index and the output process for outputting the acquired advice are executed.

According to the program according to the present invention, when giving advice on an index related to sleep, it is possible to suppress the display of advice on the same index many times in a short period of time.

FIG. 1 is a schematic view showing an example of the configuration of the 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 the process executed by the CPU 34 according to the embodiment. FIG. 4A is a diagram showing an example of the table 41, and FIG. 4B is a diagram showing an example of the table 42. 5A and 5B are display examples of the display 33, in which FIG. 5A is a diagram showing a reception screen 81 of a user input 71, and FIG. 5B is a diagram showing a reception screen 82 of a user input 72. .. FIG. 6 is a diagram showing an example of the table 43. FIG. 7A is a display example of the display 33 and shows a reception screen 83 of the evaluation 91. FIG. 7B is an example of the ranking of the sleep index 16 based on the single correlation coefficient 47. It is a figure which shows. FIG. 8 is a diagram showing an example of the memorized sleep index 16 and the evaluation 91. FIG. 9 is a diagram showing an example of the table 45. FIG. 10 is a block diagram of the information processing system 100 according to the third modification. FIG. 11 is a block diagram of the information processing system 100 according to the fourth modification.

Hereinafter, embodiments of the present invention will be described. It goes without saying that the embodiments described below are merely examples of the present invention, and the embodiments of the present invention can be appropriately changed without changing the gist of the present invention.

FIG. 1 is a schematic view of an information processing system 100 according to the present embodiment. As shown in FIG. 1, the information processing system 100 is mainly provided with a bedroom 20 in which the user sleeps. The information processing system 100 includes a sensor device 11, a mobile terminal device 12, and a database device 17. The information processing system 100 is an example of the system. The mobile terminal device 12 is an example of the information processing device 10.

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

The bedroom 20 has, for example, a floor 21, a wall 22, a ceiling 23, a door (not shown), and a window 24 provided on the wall 22. Further, in the bedroom 20, a bed 25, a sensor device 11, a mobile terminal device 12, and a clock 13 are installed. 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 in the ceiling 23 and is embedded in the sensor device 11. The sensor device 11 is not limited to the inside of the ceiling 23, and may project 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, and 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 can be wrapped around the user's arm or the like or attached to the body or the like.

FIG. 2 is a block diagram of the information processing system 100 according to the present 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 through the communication network 18. Specific examples of the communication network 18 are 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 a mattress as long as it can detect biological information. The sensor 14 irradiates the living body with microwaves, receives the reflected waves of the irradiated microwaves, and detects the 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, may be installed in a building having a bedroom 20, or is different from a building having a bedroom 20. It may be installed in a place. 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 form a sleep determination unit 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 or information necessary for executing each program. The memory 29 is composed of, for example, a RAM, a ROM, an EEPROM, an HDD, a portable storage medium such as a USB memory attached to and detached from the database device 17, a buffer included in the CPU 28, or a combination thereof.

The sleep determination unit 15 is an arithmetic unit that calculates the sleep index 16 based on the signal output by the sensor 14. The sleep determination unit 15 calculates the sleep index 16 based on a predetermined program stored in the 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 determination unit 15 is an example of a generation unit. The sleep determination unit 15 stores the signal based on the sensor 14 received by the database device 17 in the memory 29.

The calculation method of the sleep index 16 is not particularly limited, but for example, the signal output by the sensor 14 is analyzed to obtain the respiratory rate, the heart rate, and the body movement rate. The respiratory rate and heart rate are obtained, for example, by frequency analysis of the signal output by the sensor 14. Further, the number of body movements is obtained from, for example, the number of times that the amplitude of the signal output by the sensor 14 becomes equal to or greater than the threshold value.

The sleep determination unit 15 can determine whether or not there is a human in the bed 25. For example, the sleep determination unit 15 can determine that a person is in the bed 25 based on the signal output by the sensor 14 having a predetermined output or more.

The sleep determination unit 15 periodically acquires a signal output by the sensor 14 in response to the determination that the person in the bed 25 is sleeping, and based on the acquired signal, the user's breathing, heartbeat, and The body movement is determined, and the user's sleep / wakefulness and sleep depth are determined for each unit time according to the acquisition of signals. Known methods are used for determining respiration, heartbeat, and body movement from the signal output by the sensor 14, and for determining sleep / wakefulness and sleep depth. Further, the cycle in which the sleep determination unit 15 acquires the signal output by the sensor 14 is, for example, about 1 to 5 minute intervals.

The sleep determination unit 15 determines, for example, the sleep and awakening of the user from the number of body movements per unit time. If the number of body movements per unit time is equal to or less than a preset reference value, the sleep determination unit 15 determines that it is sleep. 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 larger than a preset reference value. For the determination of sleep / wakefulness, for example, not only the body movement rate but also the respiratory rate per unit time or a combination thereof may be used.

The sleep determination unit 15 determines the depth of sleep according to the determination of sleep in the determination of sleep / wakefulness of the user.

The depth of sleep is divided into non-REM sleep and REM sleep. Non-rem sleep is divided into stages 1 to 4, for example, according to the depth of sleep. In addition, there is a cycle in the depth of sleep. In the sleep depth cycle, non-REM sleep and REM sleep are usually alternated. In general, in the case of 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 1 hour after falling asleep. The depth of sleep becomes shallower after step 4, and becomes REM sleep through step 1. The depth of sleep in stage 1 is shallower than, for example, in other stages 2-4. The sleep depth of REM sleep is shallower than that of non-REM sleep. REM sleep is repeated 3 to 5 times, for example, when the sleep time from falling asleep to waking up is 6 to 8 hours and the length of one cycle of the sleep depth cycle is 90 minutes.

Step 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, especially in stage 1 immediately after REM sleep. The lightest sleep can be extracted by the detection of step 1 in which the number of body movements increases. If REM sleep can be extracted by respiratory rate, heart rate, or a combination thereof other than body movement rate, REM sleep may be determined as the lightest sleep. That is, the lightest sleep may be grasped as stage 1 in non-REM sleep or as REM sleep.

The sleep determination unit 15 obtains the bedtime 19A by determining that the sensor 14 has a human in the bed. In addition, the sleep determination unit 15 obtains data on other sleep contents by determining sleep / wakefulness and sleep depth. The data regarding the content of sleep are, for example, four times 19 of bedtime 19A, sleep onset time 19B, awakening time 19C, and wake-up time 19D, the number of mid-career awakenings, the number of REM sleeps, and the number of non-REM sleeps. The awakening time 19C in the present specification does not mean the time when the person awakens halfway, but the awakening time 19C before waking up.

The sleep determination unit 15 obtains the time when the signal output by the sensor 14 is acquired, the signal of the sensor 14, the respiratory rate, the heart rate, the body movement number, the data related to the sleep content, and the like based on the signal of the sensor 14. Store in memory 29. The sleep determination unit 15 may store these in a memory (not shown) in the sensor device 11 or in a memory 35 of the mobile terminal device 12.

The sleep determination unit 15 calculates the sleep index 16 according to the determination 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. For the sleep index 16 in the present embodiment, sleep efficiency, sleep time, number of awakenings, sleep onset latency, and sleep quality are used. The sleep index 16 is not limited to these indexes, and known ones such as awakening time, REM sleep time, and non-REM sleep time may be used, and at least one of these may be used. You may.

The sleep efficiency is obtained by dividing the time from the sleep onset time 19B to the awakening time 19C by the time from the bedtime time 19A to the wake-up time 19D.

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

The number of halfway awakenings is the number of times the user awakens between falling asleep and awakening before waking up.

The sleep onset latency is the time from bedtime 19A to sleep onset 19B.

The quality of sleep is calculated by dividing the number of REM sleeps by the total number of REM sleeps and non-REM sleeps.

The database device 17 transmits the bedtime 19A, the sleep onset 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 the request of 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. .. Each component constituting the mobile terminal device 12 is connected to each other through a communication bus 36.

The network I / F 31 is an interface capable of communicating with an external device such as the sensor device 11. That is, in the present 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. The specific communication procedure of the network I / F31 is not particularly limited, but 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. Further, in the input I / F 32, an operation of designating 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, an icon, a button, a link, a radio button, a check box, a pull-down menu, or the like displayed on the display 33.

The input I / F 32 realized as a touch sensor outputs position information indicating a position on the display surface touched by the user. The term "touch" in the present specification includes all operations of bringing the input medium into contact with the display surface. Further, even if the input medium does not touch the display surface, the "hover" or "floating touch" that brings the input medium close to the position where the distance from the display surface is very small is adopted as the above-mentioned concept of "touch". May be included. Further, the input medium may be a user's finger, a touch pen, or the like. The user operation of tapping the position of the object displayed on the display 33 is an example of the operation input for designating the object. The input I / F 32 is an example of an input unit.

The display 33 is a liquid crystal display, an organic EL display, or the like, and includes a display screen for displaying various information. The display 33 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 the 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 the OS 38 and the advice program 39. Further, the memory 35 stores data or information necessary for executing each program. The memory 35 is composed of, for example, a RAM, a ROM, an EEPROM, an HDD, a portable storage medium such as a USB memory attached to and detached from the portable terminal device 12, a buffer included in the CPU 34, or a combination thereof. The memory 35 is an example of a storage unit.

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 an abnormality with respect to the acquired sleep index 16, obtains advice regarding one selected sleep index 16 from the table 41, and displays it on the display 33. When selecting the abnormal sleep index 16, the advice program 39 refers to the selection information of the sleep index 16 and the ranking information of the sleep index 16 stored in the memory 35 for the immediately preceding four days.

The advice program 39 determines the abnormality of the sleep index 16 based on the threshold value stored in the memory 35. In the present embodiment, the threshold value of each sleep index 16 is predetermined. Advice program 39 determines sleep efficiency as abnormal when sleep efficiency is, for example, less than 0.85 or greater than 0.9. The advisory program 39 determines that the sleep time is abnormal when, for example, the sleep time is longer or shorter than the user's normal sleep time by more than 30 minutes. The advice program 39 determines that the number of awakenings is abnormal if the number of awakenings is, for example, one or more. The advisory program 39 determines sleep onset latency as abnormal when, for example, less than 10 minutes or more than 30 minutes. The advisory program 39 determines that the quality of sleep is abnormal when the quality of sleep is, for example, less than 0.44 or greater than 0.66.

The user's normal sleep time is time based on user input 71. The user input 71 is a user input to the object 51 (see FIG. 5A) displayed on the display 33 by the advisory program 39. The object 51 is displayed on the display 33 when the advisory program 39 is first activated in the mobile terminal device 12. The object 51 is provided with input fields for bedtime 19A and wake-up time 19D, and the user inputs bedtime 19A and wake-up time 19D. The advisory program 39 obtains 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 the advice. The table 41 is stored in the memory 29. The advice program 39 sends one selected abnormal sleep index 16 to the database device 17 to request advice. The database device 17 transmits the advice corresponding to the received sleep index 16 to the mobile terminal device 12. When it is determined that all the sleep indexes 16 are not abnormal, the advice program 39 acquires the corresponding advice from the database device 17 without any abnormality.

Further, the advice program 39 determines the abnormality for the bedtime 19A, the sleep onset time 19B, the awakening time 19C, and the wake-up time 19D before determining the abnormality for the sleep index 16, and gives advice regarding the time 19 which is determined to be abnormal. And display 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 the present embodiment, the range of each time 19 is predetermined. The advice program 39 determines the time 19 as abnormal when each time 19 is outside the predetermined range. More specifically, the advice program 39 determines that the time 19 is abnormal when the acquired time 19 deviates from the three hours before and after the normal time 19 of the user.

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

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

Further, the advice program 39 determines the sleep index 16 that does not determine the abnormality based on the received user input 72 before determining the abnormality with respect to the sleep index 16, and removes the sleep index 16 from the determination of the abnormality.

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

Object 52 is a question to the user about matters directly related to sleep habits. The questions are, for example, whether they are in nursing care / parenting, are alcoholics, have narcolepsy, cannot sleep due to a sleep disorder, or wake up halfway 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 to which the user corresponds is not determined to be abnormal. In the examples of FIGS. 5B and 6, the advice program 39 accepts the user input 72 for the item "wake up in the middle of the night for long-term care", and the user input 72 is "present" in the same item column of the table 43. I remember. The advice program 39 determines the sleep index 16 that is not determined as the number of awakenings by memorizing "yes" in the column.

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

The user activates the advisory program on the mobile terminal device 12. As shown in FIG. 3, the advisory program 39 causes the object 51 to be displayed on the display 33 (S12) on condition that the user input 71 is not stored in the memory 35 when it is started (S11: Yes). The user inputs the usual bedtime and the usual wake-up time to the object 51 displayed on the display 33. The advisory 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 usual bedtime and the usual wake-up time in the memory 35 as the user's normal bedtime 19A and wake-up time 19D. Further, in the advice program 39, for example, 20 minutes is added to the user's normal bedtime 19A to set the user's normal sleep onset time 19B, which is reduced by 20 minutes from the user's normal wake-up time 19D to the user's normal awakening time 19C. As a result, it is stored in the memory 35. Further, the advice program 39, for example, sets each time 19 of the user's normal time, and at the same time, stores a range of 3 hours before and after each time 19 as a range of time 19 of the user. Further, the advice program 39 calculates a normal sleep time based on the user input 72 and stores it in the memory 35.

The advisory program 39 determines whether the advisory program is activated in the mobile terminal device 12 for the first time after step S13 or on condition that the user input 71 is stored in the memory 35 (S14). For example, the memory 35 stores a flag depending on whether or not the advisory program has been started. The advisory program 39 reads the flag and determines whether the advisory 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 only when it is determined that the advisory program is activated in the mobile terminal device 12 for the first time (S14: Yes) (S15). The object 52 is provided with, for example, a list of questions about matters directly related to sleep habits, and a check box for inputting an answer to each question item. The user taps the corresponding item for the object 52 displayed on the display 33 and inputs a check.

The advisory program 39 receives the user input 72 via the input I / F 32 for the operation on the object 52. The advisory program 39 stores the received user input 72 in the memory 35 (S16). The user input 72 is, for example, whether or not a user's check is input to the check box of each item provided in the object 52. The advisory program 39 stores a predetermined value for identifying the user input 72 as "yes" for the item for which the check is input and the user input 72 as "no" for the item for which the check is not input. ..

The predetermined value is stored in the column of the user input 72 of the table 43 (see FIG. 6) stored in the memory 35 in association with each item. Further, the advisory program 39 updates the above flag stored in the memory 35 to the value at which the activation is executed.

The advisory program 39 acquires the time 19 and the calculated plurality of sleep indexes 16 from the database device 17 (S17). The timing at which the advisory program 39 acquires the time 19 and the sleep index 16 from the database device 17 may be the timing at which the user activates the advisory program 39, or regardless of whether the user has activated the advisory program 39 in advance. 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 advice program 39 determines the abnormality at time 19 on condition that the time 19 is acquired (S18). For example, the advisory program 39 reads the user's time 19 range stored in the memory 35. The advisory program 39 compares the acquired time 19 with the read range. The advisory program 39 sets the value of the flag according to whether or not the time 19 is within the range at each time 19.

The advice program 39 transmits the time 19 determined to be abnormal to the database device 17 on condition that it is determined that there is an abnormality at time 19 (S18: Yes), and obtains advice corresponding to the time 19 (S28). .. For example, the advisory program 39 indicates that the value of the flag is set for which time 19 on the condition that the value of the flag corresponding to the fact that it is not within the range is set at any of the time 19. A recognizable signal is transmitted to the database device 17 to obtain advice corresponding to the transmitted time 19. 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 out the sleep index 16 which is not determined from the table 43 (S19) on 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 on the condition that the value of the flag corresponding to the fact that all of the time 19s are within the range is set, and the predetermined value identified as “yes”. Reads out the sleep index 16 stored in the column of the undetermined sleep index 16 corresponding to the user input 72 in which is stored.

The advice program 39 determines the abnormality of the acquired sleep index 16 except for the sleep index 16 which is not determined (S20). For example, the advice program 39 deletes the value of the acquired sleep index 16 corresponding 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 with the read threshold value, respectively. The advice program 39 sets a flag according to whether or not each sleep index 16 is abnormal based on the threshold value.

The advice program 39 transmits "no abnormality" to the database device 17 on condition that it is determined that the sleep index 16 is normal (S20: none), and obtains advice corresponding to "no abnormality" (S27). ). For example, in the advice program 39, the value of the flag is set for all the sleep indexes 16 on the condition that the value of the flag corresponding to the fact that none of the sleep indexes 16 is abnormal is set. The recognizable signal of is transmitted to the database device 17, and the advice corresponding to the transmitted sleep index 16 is obtained. The database device 17 reads 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 the determination process.

The advice program 39 stores the sleep index 16 determined to be abnormal in the memory 35 on condition that it is determined that any one of the sleep indexes 16 is abnormal (S20: 1) (S25). For example, the advice program 39 counts a sleep index 16 in which a flag value is set according to the abnormality. The advice program 39 stores the sleep index 16 in which the value of the flag corresponding to the abnormality is set, on the condition that the recorded result is "1", together with the date and time information based on the clock 37, in the memory 35. Remember in.

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 advice program 39 transmits a recognizable signal to the database device 17 that a flag value is set according to which sleep index 16 is abnormal, and corresponds to the transmitted sleep index 16. Get advice. The database device 17 reads the advice corresponding to the received sleep index 16 from the table 41 and transmits it to the mobile terminal device 12.

The advice program 39 reads the sleep index 16 selected in the last 4 days from the memory 35 (S21) on condition that it is determined that the plurality of sleep indexes 16 are abnormal (S20: plural). For example, the advice program 39 counts a sleep index 16 in which a flag value is set according to the abnormality. The advice program 39 reads out the sleep index 16 selected in the last 4 days stored in the memory 35, provided that the recorded result is "2" or more. In addition, the advice program 39 reads the rank of the sleep index 16 from the memory 35.

The advice program 39 selects one sleep index 16 by giving priority to the abnormal sleep index 16 which has a higher rank of the predetermined sleep index 16 and does not correspond to the read sleep index 16 (S22). The advice program 39 selects the sleep time when, for example, 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 out as the selected sleep index 16. In addition, the advice program 39 determines, for example, sleep time, number of awakenings, and sleep onset latency as abnormal, and ranks higher in the order of sleep time, number of awakenings, and sleep onset latency, and sleeps as the selected sleep index 16. Select the number of mid-wake awakenings when the time is read. In addition, the advice program 39 determines, for example, sleep time, number of awakenings, sleep onset latency, and sleep quality as abnormal, and ranks higher in the order of sleep time, number of awakenings, sleep onset latency, and sleep quality. , When all of these are read as the selected sleep index 16, sleep time is selected. Note that step S22 is an example of the selection process.

The advice program 39 stores the selected sleep index 16 in the memory 35 together with the 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 that which sleep index 16 has been selected to the database device 17 to obtain advice corresponding to the transmitted sleep index 16. The database device 17 reads the 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 obtained advice on the display 33 (S29). Note that step S29 is an example of output processing.

The information processing device 10 is not limited to the portable terminal device 12, but may be a PC, or may be a device incorporating a CPU, such as a home appliance such as an air conditioning device provided in the bedroom 20. Further, in the present embodiment, the output of the advice is executed by being displayed on the display 33 of the mobile terminal device 12, but may be displayed on the display of another device or device, and is output as voice. You may.

The information processing system 100 may further include a clock 13 installed in the bedroom 20. In the present embodiment, the date and time information is output by the clock 37, but the clock 13 may be output 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 the date and time information to the mobile terminal device 12.

In the present embodiment, the object 52 is displayed only when the advisory program 39 is started for the first time (S14), but the object 52 may be displayed periodically. The advisory program 39 displays the object 52 on the display 33 every three months, and updates the table 43 every time the user input 72 is received.

Although each threshold value of the sleep index 16 is predetermined in the present embodiment, it is determined from other user inputs, information on the user's sleep stored in the memories 29 and 35, or a combination thereof. May be good. Further, the threshold value of each sleep index 16 may be appropriately changed by updating the advice program 39 or the like, or may be changed seasonally.

Although each range of the time 19 is predetermined in the present embodiment, it may be determined and changed in the same manner as each threshold value of the sleep index 16.

The normal sleep time and time 19 of the user are determined based on the user input 71, but may be changed by obtaining the average in the period on condition that the predetermined period is stored. The predetermined period is, for example, the immediately preceding week, one month, three months, or the like. It may also be changed depending on the season.

The time 19 acquired in step S17 may be at least one of them. Further, the acquisition of advice for the time 19 may be executed by selecting at least one of the abnormal times 19. In addition, the advice program 39 may acquire the time 19 and the sleep index 16 separately.

In the present embodiment, the sleep index 16 read out in step S21 was the last 4 days, but may be within a predetermined period, for example, the previous day, the last 2 days, or the last 1 week. Further, the sleep index 16 to be read out may be, for example, the latest n-1 days or the like, where n is the number of items of the sleep index 16 to be determined.

In step S22, a predetermined order is used, but a random number may be used instead of the order.

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

The advice in Tables 41 and 42 in FIGS. 4A and 4B is an example of the advice, and is not limited to this, and may be related to the corresponding sleep index 16 or time 19, and may be appropriate. May be changed.

The item shown in the object 52 is an example of accepting the user input 72, and other items may be shown. Further, the table 43 shown in FIG. 6 is an example of means for determining the sleep index 16 that is not determined, and is not limited to this. Further, the sleep index 16 which is not determined corresponding to the item is not limited to the example of FIG. 6, and is appropriately set according to the item.

Before obtaining the advice for the abnormal time 19, the same selection process as 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 the abnormal sleep index 16 may be executed, and the advice corresponding to one selected sleep index 16 may be output.

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 composed of the CPU 28 and the memory 29, the sleep determination unit 15 may be composed of the CPU 34 and the memory 35.

[Action and effect of this embodiment]
In the present embodiment, when giving advice on the abnormal sleep index 16, it is suppressed that the same advice is repeatedly output within a predetermined period.

Further, the advice program 39 outputs advice regarding no abnormality on condition that the sleep index 16 determines that there is no abnormality, but if it does not determine time 19, bedtime 19A, sleep onset time 19B, awakening time 19C or Even if any of the wake-up time 19D is abnormal, this is not reflected in the advice. Even in such a case, in the present embodiment, since the abnormality at time 19 is determined, advice can be displayed according to the abnormality at time 19. Further, in the present embodiment, by determining the time 19 before determining the sleep index 16, advice can be displayed without determining the sleep index 16.

Further, in the present embodiment, the user input 72 is accepted, and the sleep index 16 that is not determined is determined. The sleep index 16 that is not determined does not serve as the sleep index 16 for obtaining advice. Therefore, in the present embodiment, when there is a sleep index 16 that is difficult to improve due to the personal circumstances of the user, it is possible to avoid outputting advice for the sleep index 16.

[Modification 1]
In the above embodiment, when there are a plurality of sleep indexes 16 determined to be abnormal, an example in which ranking is used as one of the criteria for selecting one sleep index 16 has been described. In the first modification, an example will be described in which the rank is updated based on the magnitude of the correlation between each of the sleep indexes 16 and the evaluation 91 regarding the user's sleep. In the first modification, the description of the same processing as in the above embodiment is omitted, and the processing of the CPU 34 different from the above embodiment will be described.

The advice program 39 displays the acquired advice on the display 33 (S29), and then displays the object 53 for receiving the evaluation 91 on the display 33. As shown in FIG. 7A, the object 53 has, for example, a text display such as "How many points did you evaluate today's sleep?" And an input field for the user to input points. .. The user, for example, touches the input field of the object 53 to input the evaluation 91.

As shown in FIG. 8, the advice program 39 writes the acquired sleep index 16, the received evaluation 91, and the 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 rating 91 from November 1, 2018 to November 7, 2018.

The advice program 39 reads 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 are accumulated in the table 44 for a predetermined period, and sets the sleep index 16 and the evaluation 91 together with the sleep index 16 respectively. Evaluation 91 is analyzed by simple regression analysis. The predetermined period is, for example, one week, but is not limited to this, and may be three days, two weeks, one month, or the like.

As shown in FIG. 7B, the advisory program 39 calculates the 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. To change. Table 48 associates each sleep index 16 with a single correlation coefficient 47 and a ranking for each sleep index 16. In the table 48, the rank of the predetermined sleep index 16 is stored in advance. For example, the advisory program 39 performs a simple regression analysis of the sleep efficiency and the evaluation 91 from November 1, 2018 to November 7, 2018 shown in FIG. 8, and obtains the value of the simple correlation coefficient 47, " 0.93 ”is stored in the table 48. The advisory program 39 similarly stores each value of the obtained single correlation coefficient 47 in the table 48 for the other sleep index 16. The advice program 39 determines the rank of the sleep index 16 in descending order of the value of the single correlation coefficient 47 stored in the table 48, provided that the values of the single correlation coefficient 47 of all the sleep indexes 16 are obtained. Then, the rank column of the table 48 is updated with the rank. The simple correlation coefficient 47 is an example of correlation.

[Action and effect of modification 1]
It is possible to suppress the advice given to indicators that have a relatively low effect on the user's sleep satisfaction.

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

The advice program 39 selects one sleep index 16 from the plurality of sleep indexes 16 determined to be abnormal (S22), and then when the selected sleep index 16 is acquired (S23), the stage of the selected sleep index 16 is set. The sleep index 16 with the corresponding information is transmitted to the database device 17. For example, the advice program 39 further compares the acquired sleep index 16 with the read threshold value in step S20, and further sets the following for the sleep index 16 in which the value of the flag corresponding to the abnormality is set. Set the value of the flag according to the stage division as shown in the example. The database device 17 reads the received sleep index 16 and the advice corresponding to the stage from the table 45 (see FIG. 9) stored in the memory 29, and transmits the advice to the mobile terminal device 12.

The sleep index 16 is divided into stages as follows, for example. When the sleep efficiency exceeds 0.9, it is classified as stage A, and when it is less than 0.85, it is classified as stage B. When the sleep time is shorter than the user's normal sleep time by more than 30 minutes, it is referred to as stage A, and when it is longer than 30 minutes, it is referred to as stage B. When the number of awakenings is one, it is referred to as stage A, and when it is two or more times, it is referred to as stage B. Sleep onset latency is referred to as stage A when it is less than 10 minutes and stage B when it exceeds 30 minutes. The quality of sleep is graded 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 the advice for each stage of the sleep index 16. The table 45 is stored in the memory 29.

In the second modification, after determining that any one of the sleep indexes 16 is abnormal (S20: 1), when obtaining advice corresponding to the sleep index 16 determined to be abnormal (S26). Also, the table 45 is used.

[Action and effect of modification 2]
Since the advice corresponding to the abnormal stage of each sleep index 16 is output, it is possible to provide the user with advice 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 determination unit 15. However, as shown in FIG. 10, the sensor device 11 includes the CPU 61 and the RAM 62, and the CPU 61 and the RAM 62 sleep. The determination unit 15 may 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, but the mobile terminal device 12 and the communication network 18 are connected. It may be configured so that they can communicate with each other without going through. The sensor device 11 is connected to the mobile terminal device 12 by, for example, Wi-Fi (registered trademark) or Bluetooth (registered trademark). In the third modification, the database device 17 acquires the output of the signal from the sensor device 11 via the mobile terminal device 12.

[Modification example 4]
In the above embodiment, the information information system 100 includes the sensor device 11, the mobile terminal device 12, and the database device 17, but as shown in FIG. 11, the information information system 100 includes the sensor device 11. And the portable terminal device 12 may be provided. In the third modification, various information is stored in the memory 35. In addition, 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 (example of generation unit)
16 ... Sleep index 19 ... Time 19A ... Bedtime 19B ... Sleep onset time 19C ... Awakening time 19D ... Wake up time 32 ... Input I / F (example of input unit)
33 ... Display (an example of display unit)
34 ... CPU (example of controller)
35 ... Memory (an example of storage unit)
39 ... Advice program 47 ... Simple correlation coefficient (an example of correlation)
100 ... Information processing system

Claims (9)

A program that can be executed by an information processing device including a controller and a storage unit.
The first acquisition process to acquire multiple indicators related to sleep generated based on the output of the sensor that detects the user's sleep movement, and
Judgment processing to determine whether each of the above multiple indicators is abnormal,
A selection process of reading out the index selected within a predetermined period from the storage unit and selecting one of the above-mentioned indexes that does not correspond to the read-out index on condition that the plurality of the above-mentioned indexes are abnormal.
A storage process for storing the selected index in the storage unit, and
The second acquisition process to acquire advice on the above selected indicators, and
A program that causes the above information processing device to execute output processing that outputs the acquired advice. The first aspect of the present invention, wherein in the selection process, one index is selected based on the magnitude of the correlation between each of the plurality of indexes that do not correspond to the index read from the storage unit and the evaluation of the user's sleep. program. The program according to claim 2, wherein the correlation is obtained by performing a simple regression analysis on each of the indicators and the evaluation. Based on the output of the above sensor, the time related to at least one of the bedtime, the sleep onset time, the awakening time, and the wake-up time is acquired.
It is determined whether the acquired time is abnormal with respect to the time stored in the storage unit.
The above determination process is executed on condition that the above time is determined not to be abnormal.
Claim 1 for causing the information processing apparatus to execute a process of acquiring advice according to a time determined to be abnormal without executing the determination process on condition that the time is determined to be abnormal. The program described in any of 3 to 3. The information processing device further includes an input unit that accepts user input.
The program according to any one of claims 1 to 4, which causes the information processing apparatus to execute a process of determining the index that does not execute the determination process based on the user input. According to any one of claims 1 to 5, in the determination process, the information processing apparatus is made to execute a process of acquiring advice corresponding to the absence of an abnormality in response to the determination that all of the indicators are normal. The program described. In the above determination process, it is determined step by step that the plurality of indicators are abnormal.
The program according to any one of claims 1 to 6, which obtains advice according to the abnormal stage of the selected index in the second acquisition process. The information processing device further includes a display unit.
The program according to any one of claims 1 to 7, wherein the information processing apparatus executes a process of displaying the advice output by the output process on the display unit. A system including a sensor that detects a user's movement during sleep, a generation unit that generates a plurality of indicators related to sleep based on the output of the sensor, and an information processing device including a controller and a storage unit.
The above information processing device
The first acquisition process to acquire the above multiple indexes and
Judgment processing to determine whether each of the above multiple indicators is abnormal,
A selection process of reading out the index selected within a predetermined period from the storage unit and selecting one of the above-mentioned indexes that does not correspond to the read-out index on condition that the plurality of the above-mentioned indexes are abnormal.
A storage process for storing the selected index in the storage unit, and
The second acquisition process to acquire advice on the above selected indicators, and
Output processing that outputs the obtained advice and the system that executes it.

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