Sleep evaluation system

Abstract

To provide a sleep evaluation system for analyzing sleep of an object person and improving quality of sleep.SOLUTION: A sleep evaluation system includes an information processing device and a plurality of sensors. A first sensor measures activity amount data indicating an activity amount of an object person. A second sensor measures vital data indicating a vital sign of the object person. The information processing device includes a determination part for determining L times of sleep whose quality of the object person's sleep is good, using behavioral data indicating the object person's behavior, a calculation part for calculating a plurality of sleep parameters of each of the L times of sleep, using at least one of the activity amount data and the vital data corresponding to each of the L times of sleep, and an analysis part for determining the range of each value of the plurality of sleep parameters when the quality of the object person's sleep is good, using the plurality of sleep parameters of each of the L times of sleep, the L being an integer greater than or equal to 1.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a sleep evaluation system. [Background technology]

[0002] For infants, quality sleep is essential for their healthy physical and mental development. However, in recent years, there has been an increase in infants with sleep problems, such as difficulty falling asleep even after getting into bed, not getting the appropriate amount of sleep, and not being able to sleep in a relaxed state.

[0003] In order to get good quality sleep, it is necessary to understand the current quality of sleep and improve it if necessary.

[0004] As a means for measuring the quality of sleep, various sensors and application programs have been developed. Such sensors and application programs are intended to measure the quality of sleep of adults, for example. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent No. 7125223 [Patent Document 2] Special Publication No. 2020-523144 Summary of the Invention [Problem to be solved by the invention]

[0006] Infant sleep differs from adult sleep in terms of quantity, quality, and pattern. Infant sleep also changes as the child grows. Therefore, it is necessary to realize new functions that can improve the quality of infant sleep. The same can be said for children with developmental disorders.

[0007] The present invention provides a sleep evaluation system that can solve the above problems. [Means for solving the problem]

[0008] The present invention is a sleep evaluation system including an information processing device and a plurality of sensors. The plurality of sensors include at least one of a first sensor and a second sensor. The first sensor measures activity amount data indicating an activity amount of a subject. The second sensor measures vital data indicating a vital sign of the subject. The information processing device includes a generation unit, a determination unit, a calculation unit, and an analysis unit. The generation unit generates behavior data indicating a behavior of the subject in response to an operation of the information processing device by a user. The determination unit uses the behavior data to determine L sleeps in which the quality of the sleep of the subject is good. The calculation unit calculates a plurality of sleep parameters for each of the L sleeps using at least one of the activity amount data and the vital data corresponding to each of the L sleeps. The analysis unit uses the plurality of sleep parameters for each of the L sleeps to determine a value range for each of the plurality of sleep parameters when the quality of the sleep of the subject is good. The L is an integer of 1 or more.

[0009] The present invention is an information processing device capable of acquiring data from a plurality of sensors. The plurality of sensors includes at least one of a first sensor and a second sensor. The first sensor measures activity amount data indicating an activity amount of a subject. The second sensor measures vital data indicating a vital sign of the subject. The information processing device includes a generation unit, a determination unit, a calculation unit, and an analysis unit. The generation unit generates behavior data indicating a behavior of the subject in response to an operation of the information processing device by a user. The determination unit uses the behavior data to determine L sleeps in which the quality of the subject's sleep is good. The calculation unit calculates a plurality of sleep parameters for each of the L sleeps using at least one of the activity amount data and the vital data corresponding to each of the L sleeps. The analysis unit uses the plurality of sleep parameters for each of the L sleeps to determine a value range for each of the plurality of sleep parameters in which the quality of the subject's sleep is good. The L is an integer equal to or greater than 1.

[0010] The present invention is a sleep evaluation method for controlling an information processing device capable of acquiring data from a plurality of sensors. The plurality of sensors includes at least one of a first sensor and a second sensor. The first sensor measures activity amount data indicating an activity amount of a subject. The second sensor measures vital data indicating a vital sign of the subject. In the sleep evaluation method, a generation unit of the information processing device generates behavior data indicating a behavior of the subject in response to an operation of the information processing device by a user. In the sleep evaluation method, a determination unit of the information processing device uses the behavior data to determine L sleeps in which the quality of the subject's sleep is good. In the sleep evaluation method, a calculation unit of the information processing device calculates a plurality of sleep parameters for each of the L sleeps using at least one of the activity amount data and the vital data corresponding to each of the L sleeps. In the sleep evaluation method, an analysis unit of the information processing device uses the plurality of sleep parameters for each of the L sleeps to determine a value range for each of the plurality of sleep parameters in which the quality of the subject's sleep is good. The L is an integer of 1 or more. Effect of the Invention

[0011] According to the present invention, it is possible to provide a sleep evaluation system that can solve the above problems. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a conceptual diagram showing an example of the configuration of a sleep evaluation system according to the first embodiment. [Diagram 2] FIG. 2 is a block diagram showing an example of a system configuration of an information processing device included in the sleep evaluation system according to the first embodiment. [Diagram 3] FIG. 3 is a block diagram showing an example of the functional configuration of an information processing device included in the sleep evaluation system according to the first embodiment. [Figure 4] FIG. 4 is a diagram showing an example of behavior data used in the sleep evaluation system according to the first embodiment. [Diagram 5] FIG. 5 is a diagram showing an example of a result of judgment of the quality of an infant's sleep using behavior data in the sleep evaluation system according to the first embodiment. [Figure 6] FIG. 6 is a diagram showing examples of sleep parameters used in the sleep evaluation system according to the first embodiment. [Figure 7] FIG. 7 is a diagram showing examples of sleep parameters for multiple days used in the sleep evaluation system according to the first embodiment. [Figure 8] FIG. 8 is a diagram showing an example of sleep parameters that are accumulated in the sleep evaluation system according to the first embodiment and that indicate that the quality of sleep is determined to be good. [Figure 9] FIG. 9 is a diagram showing an example of the configuration of a reference range table used in the sleep evaluation system according to the first embodiment. [Figure 10] FIG. 10 is a diagram showing an example of sleep parameters for a day for which sleep quality is evaluated in the sleep evaluation system according to the first embodiment. [Figure 11] FIG. 11 is a diagram showing an example of notification of sleep evaluation information in the sleep evaluation system according to the first embodiment. [Figure 12] FIG. 12 is a flowchart showing an example of the procedure of the reference range obtaining process executed in the sleep evaluation system according to the first embodiment. [Figure 13] FIG. 13 is a flowchart showing an example of the procedure of a sleep parameter calculation process executed in the sleep evaluation system according to the first embodiment. [Figure 14] FIG. 14 is a flowchart showing an example of the procedure of the evaluation and notification process executed in the sleep evaluation system according to the first embodiment. [Figure 15] FIG. 15 is a block diagram showing an example of the system configuration of an information processing device included in the sleep evaluation system according to the second embodiment. [Figure 16] FIG. 16 is a block diagram showing an example of the functional configuration of an information processing device included in the sleep evaluation system according to the second embodiment. [Figure 17]FIG. 17 is a diagram showing (a) examples of sleep parameters for multiple days and (b) examples of relationships between the sleep parameters and sleep quality, used in the sleep evaluation system according to the second embodiment. [Figure 18] FIG. 18 is a diagram showing an example of a reference range for the total sleeping time of an infant used in the sleep evaluation system according to the second embodiment. [Figure 19] FIG. 19 is a diagram showing a first example of a relative evaluation result of sleep quality in the sleep evaluation system according to the second embodiment. [Figure 20] FIG. 20 is a diagram showing a second example of a relative evaluation result of sleep quality in the sleep evaluation system according to the second embodiment. [Figure 21] FIG. 21 is a diagram showing an example of the priorities of sleep parameters in the sleep evaluation system according to the second embodiment. [Figure 22] FIG. 22 is a diagram showing an example of a relative evaluation result of sleep quality using the priorities of sleep parameters in the sleep evaluation system according to the second embodiment. [Diagram 23] FIG. 23 is a diagram showing an example of notification of sleep evaluation information in the sleep evaluation system according to the first embodiment. [Figure 24] FIG. 24 is a flowchart showing an example of the procedure of the relative evaluation process executed in the sleep evaluation system according to the second embodiment. [Diagram 25] FIG. 25 is a flowchart showing an example of the procedure of the evaluation and notification process executed in the sleep evaluation system according to the second embodiment. [Figure 26] FIG. 26 is a conceptual diagram showing an example of the configuration of a sleep evaluation system according to the third embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, an embodiment will be described with reference to the drawings.

[0014] (First embodiment) First, the configuration of a sleep evaluation system according to a first embodiment of the present invention will be described with reference to Fig. 1. The sleep evaluation system 1A is a system for supporting a user 31 who is responsible for childcare or care of a subject 30. The sleep evaluation system 1A provides the user 31 with information for improving the quality of sleep of the subject 30, for example.

[0015] The subject 30 is an infant or a child with a developmental disorder. The subject 30 is wearing underwear or an absorbent article. The absorbent article is, for example, a paper diaper or a cloth diaper.

[0016] The user 31 is a user who uses the sleep evaluation system 1A. The user 31 is, for example, a family member of the subject 30, or a person engaged in childcare / caregiving at a childcare / support facility where the subject 30 is placed. Here, a case where there is one user 31 is illustrated, but there may be two or more users 31.

[0017] In the following, a sleep evaluation system 1A is mainly exemplified in which a subject 30 is an infant and a user 31 is a caregiver, and the system provides the caregiver with information for improving the quality of the infant's sleep. The subject 30 who is an infant is also referred to as infant 30. The user 31 who is a caregiver is also referred to as caregiver 31. In the following description, by replacing infant 30 with a child with a developmental disorder and caregiver 31 with a caregiver, a sleep evaluation system 1A that provides the caregiver with information for improving the quality of the infant's sleep can be similarly realized.

[0018] The configuration of the sleep evaluation system 1A will be described. The sleep evaluation system 1A includes an information processing device 21 and a plurality of sensors 4, for example.

[0019] The information processing device 21 is an information processing device used by a child care provider 31. The information processing device 21 can be realized as, for example, a portable information terminal, a tablet computer, a personal computer, or an embedded system built into an infant monitoring robot. The portable information terminal is, for example, a smartphone, a mobile phone, or a personal digital assistant (PDA).

[0020] The information processing device 21 analyzes data related to the infant 30 and provides information (hereinafter also referred to as sleep evaluation information) indicative of the quality of sleep of the infant 30. The information processing device 21 provides the sleep evaluation information to the child care provider 31, for example, by displaying it on a screen.

[0021] The multiple sensors 4 are sensors that measure the condition of the infant 30. The multiple sensors 4 include, for example, a communication unit for transmitting data (signals) including the measurement results to the outside. The communication unit transmits the data including the measurement results to the information processing device 21, for example, in real time. As a communication method by the communication unit, various short-range wireless communication methods such as Bluetooth (registered trademark) and wireless LAN can be used. Alternatively, the multiple sensors 4 may include a storage unit that can be read by the information processing device 21. The storage unit stores data indicating the measurement results. The data stored in the storage unit is transmitted via the communication unit, for example, by wireless communication, and is read by the information processing device 21.

[0022] The multiple sensors 4 include, for example, an activity amount sensor 41 and a vital sensor 42.

[0023] The activity sensor 41 is a sensor that measures (monitors) the activity of the infant 30 at a predetermined time interval. The activity sensor 41 includes a non-contact type sensor and a contact type sensor. The non-contact type activity sensor 41 is, for example, a millimeter wave radar. The non-contact type activity sensor 41 is installed, for example, at a position where the infant 30 can be observed. The position where the infant 30 can be observed is, for example, any one of a wall, a pillar, a ceiling, and furniture. The contact type activity sensor 41 can be realized, for example, by an acceleration sensor, a gyro sensor, or a combination of an acceleration sensor and a gyro sensor. The contact type activity sensor 41 is, for example, attached detachably to either the inside of the clothes worn by the infant 30 or the outer surface of an absorbent article or underwear worn by the infant 30. The activity sensor 41 may be a belt-shaped sensor. The belt-shaped activity sensor 41 is attached, for example, by wrapping it around the arm or leg of the infant 30. Alternatively, the activity sensor 41 may be a sheet-shaped pressure sensor. The sheet-shaped activity sensor 41 is for capturing these movements as changes in the pattern of pressure received by the activity sensor 41. The sheet-shaped activity sensor 41 is installed so as to be laid under the body of the infant 30 who is in bed. The body movements of the infant 30 include flapping of the arms and legs, turning over in bed, and the like. The body movements of the infant 30 are represented, for example, by the amount of activity of at least a part of the body of the infant 30. Alternatively, the body movements of the infant 30 may be represented, for example, by the activity intensity of at least a part of the body of the infant 30, or an integrated value of the activity amount and the activity intensity. The activity amount and the activity intensity are determined, for example, based on the accelerations measured in the X-axis, Y-axis, and Z-axis directions, respectively. The X-axis is, for example, the vertical direction of the body of the infant 30 (i.e., the up-down direction when standing upright). The Y-axis is, for example, the horizontal direction of the body of the infant 30 (i.e., the left-right direction when standing upright). The Z-axis is a direction perpendicular to the X-axis and Y-axis (i.e., the front-back direction when standing upright). The amount of activity is the integrated value of the instantaneous activity intensity over a certain period of time (e.g., 2 minutes).

[0024] The activity amount sensor 41 includes a communication unit that transmits data indicating the time series of body movements (e.g., activity amount) of the infant 30 to the information processing device 21. The activity amount sensor 41 transmits data indicating the time series of body movements within one unit period to the information processing device 21 for each unit period, for example. The unit period is, for example, one second, ten seconds, or one minute. Alternatively, the activity amount sensor 41 may transmit data indicating one body movement in real time to the information processing device 21 in response to detecting one activity. The activity amount sensor 41 includes a small information processing device for detecting the presence or absence of body movement from the measured acceleration or the like and calculating the activity amount. The data indicating the body movement is also referred to as activity amount data. The activity amount data may include information on the time when the corresponding body movement was measured. In addition, the body movement data is not limited to the activity amount, and may be raw data such as acceleration data used to calculate the activity amount or a pressure pattern measured by a sheet-shaped sensor used to calculate the activity state.

[0025] The vital sensor 42 is a sensor that measures the vital signs of the infant 30 at predetermined time intervals. The vital signs include, for example, the heart rate (including the heart rate and parameters calculated from the heart rate variability), the respiratory rate, and the skin temperature. The skin temperature is, for example, the temperature of the extremities (e.g., the hands and feet) of the infant 30. The vital sensor 42 is placed on the infant 30 in the same manner as the activity sensor 41. The vital sensor 42 includes a non-contact type sensor and a contact type sensor. The non-contact type vital sensor 42 is, for example, a millimeter wave radar. The contact type vital sensor 42 is, for example, a wearable biosensor that measures the heart rate, the respiratory rate, and the skin temperature.

[0026] The vital sensor 42 includes a communication unit that transmits data indicating a time series of heart rate, respiratory rate, and skin temperature to the information processing device 21. The vital sensor 42 transmits data indicating a time series of heart rate, respiratory rate, and skin temperature within one unit period to the information processing device 21 for each unit period, for example. Alternatively, the vital sensor 42 may transmit data indicating at least one of the measured heart rate, respiratory rate, and skin temperature to the information processing device 21 in real time in response to measuring at least one of the heart rate, respiratory rate, and skin temperature. The data indicating the heart rate, respiratory rate, and skin temperature is also referred to as vital data. The vital data may include information on the time at which at least one of the corresponding heart rate, respiratory rate, and skin temperature was measured.

[0027] The activity amount sensor 41 and the vital sensor 42 may be realized as a single integrated device.

[0028] Moreover, the plurality of sensors 4 may further include an imaging device 43 .

[0029] The imaging device 43 is a camera that generates video data of an image of the infant 30. The imaging device 43 is, for example, an RGB camera, a monochrome camera, or a spectral camera. The video data includes a plurality of images in time series of images of the infant 30. Each of the plurality of images is, for example, an image including the entire body of the infant 30. Each of the plurality of images may be an image including a part of the body of the infant 30. The video data includes information on the time (for example, date and time) when each of the plurality of images was generated.

[0030] The imaging device 43 is installed, for example, at a position where it can capture an image of the baby 30. The imaging device 43 is installed, for example, on any of a wall, a pillar, a ceiling, and a piece of furniture.

[0031] The imaging device 43 includes, for example, a communication unit for transmitting moving image data to the outside. The communication unit is capable of mutual communication with, for example, the information processing device 21. The communication unit transmits the moving image data to the information processing device 21. As a communication method by the communication unit, for example, any short-distance wireless communication method such as Bluetooth or wireless LAN is used.

[0032] The imaging device 43 may also include a storage unit (i.e., a storage medium) that can be read by the information processing device 21. The storage unit stores moving image data. The moving image data stored in the storage unit is read by the information processing device 21, for example, by wireless communication or wired communication via a cable connecting the information processing device 21 and the imaging device 43.

[0033] 2 is a block diagram showing an example of a system configuration of the information processing device 21. The information processing device 21 includes, for example, a CPU 51, a RAM 52, a touch screen display 53, a storage device 54, a first communication unit 55, a second communication unit 56, a vibration unit 57, and a speaker 58.

[0034] The CPU 51 is a processor that controls the operations of various components within the information processing device 21 .

[0035] The RAM 52 is a volatile memory. The RAM 52 is, for example, a DRAM. The storage area of ​​the RAM 52 is allocated as a storage area for the OS 521, application programs (for example, a sleep evaluation program 522), and data used in processing by the CPU 51, for example.

[0036] The touch screen display 53 is an input / output device. The touch screen display 53 includes, for example, a liquid crystal display (LCD) and a touch panel. The touch screen display 53 displays, for example, an image based on a display signal generated by the CPU 51 on the screen of the LCD.

[0037] The touch panel is disposed on the upper surface of the LCD. The touch panel is a capacitive pointing device for inputting on the LCD screen. The touch panel detects the contact position on the screen where the finger touches. The touch panel can send a signal indicating the detected contact position to each unit (e.g., CPU 51) in the information processing device 21. For example, the CPU 51 can detect the movement of the finger based on the change in the detected contact position over time.

[0038] Information to be notified to the caregiver 31 and images including a graphical user interface (GUI) that prompts the caregiver 31 to input information are displayed on the screen of the touch screen display 53. The caregiver 31 can input information related to the behavior and sleep of the infant 30 to the information processing device 21, for example, by operating the GUI using a touch panel.

[0039] The storage device 54 is a storage including a non-volatile memory. The storage device 54 is, for example, a solid state drive (SSD) or a hard disk drive (HDD). The storage device 54 stores programs and data for controlling the operation of the information processing device 21. The storage device 54 stores, for example, behavior data 541, activity amount data 542, vital data 543, sleep parameters 544, and a reference range table 545.

[0040] The behavior data 541 is data showing the behavior of the infant 30 related to sleep. The behavior of the infant 30 related to sleep includes the actions and states of the infant 30 at the time of waking up, during the day, and at night. More specifically, the behavior of the infant 30 related to sleep includes, for example, the infant 30's waking up appearance, mood at the time of waking up, daytime appearance, daytime mood, appearance when waking up in the middle of the night, and mood when waking up in the middle of the night. Each of the behaviors of the infant 30 related to sleep is used as a judgment criterion item for judging the quality of sleep of the infant 30. The behavior data 541 is generated (input) based on an operation of the information processing device 21 by the caregiver 31. The operation of the information processing device 21 by the caregiver 31 is, for example, an operation performed by the caregiver 31 on a touch panel with respect to a GUI displayed on the LCD of the touch screen display 53.

[0041] Activity amount data 542 is data obtained by activity amount sensor 41 and indicates body movement (eg, amount of activity) of infant 30.

[0042] Vital data 543 is data indicating the vital signs of infant 30 acquired by vital sensor 42.

[0043] Sleep parameters 544 are parameters for evaluating the quality of sleep of infant 30. Sleep parameters 544 are calculated using at least one of activity amount data 542 and vital data 543, for example.

[0044] Reference range table 545 is information indicating the range of values ​​of sleep parameters 544 when the quality of sleep of infant 30 is good. The range of values ​​of sleep parameters 544 when the quality of sleep of infant 30 is good is also referred to as the reference range of the sleep parameters 544. A specific example of reference range table 545 will be described later with reference to FIG. 9.

[0045] The storage device 54 may further store moving image data. The moving image data is data generated by the imaging device 43 and includes time-series images of the baby 30.

[0046] The first communication unit 55 is a device configured to perform wired or wireless communication between the information processing device 21 and the outside. The first communication unit 55 performs communication with, for example, a server device (not shown). The first communication unit 55 includes a transmission unit and a reception unit.

[0047] The second communication unit 56 is a device configured to perform wired communication or wireless communication between the information processing device 21 and the outside. The second communication unit 56 performs communication with, for example, each of the activity amount sensor 41 and the vital sensor 42. The second communication unit 56 may further perform communication with the imaging device 43. The second communication unit 56 includes a transmitting unit and a receiving unit.

[0048] The vibration unit 57 is an output device having a vibration mechanism. The vibration mechanism is realized, for example, as a motor with an eccentric weight attached to a rotating shaft. The vibration unit 57 vibrates the information processing device 21 based on a signal generated by the CPU 51, for example. The signal generated by the CPU 51 may be a signal in which at least one of the vibration magnitude, vibration time, and vibration pattern is specified.

[0049] The speaker 58 is an output device and outputs, for example, a sound based on an audio signal generated by the CPU 51.

[0050] Next, the programs executed by the CPU 51 will be described.

[0051] The CPU 51 executes various programs loaded from the storage device 54 into the RAM 52. The programs executed by the CPU 51 include an operating system (OS) 521 and a sleep evaluation program 522.

[0052] The OS 521 is a program for controlling basic operations of various components in the information processing device 21. The CPU 51 executing the OS 521 controls, for example, input / output, file management, memory management, and communication.

[0053] The sleep evaluation program 522 is a program for evaluating the quality of sleep of the infant 30. More specifically, the sleep evaluation program 522 is configured to cause the information processing device 21 to execute a function for generating behavior data 541, a function for receiving activity amount data 542 and vital data 543 from the sensor 4, and a function for analyzing the data and providing sleep evaluation information to the caregiver 31. The sleep evaluation program 522 may also be configured to cause the information processing device 21 to execute a function for processing feedback data for the sleep evaluation information.

[0054] 3 is a block diagram showing an example of a functional configuration of the CPU 51 that executes the sleep evaluation program 522. Note that hereinafter, the information processing device 21 centered around the CPU 51 configured to execute the sleep evaluation program 522 may be referred to as the "CPU 51."

[0055] The CPU 51 of the information processing device 21 includes, for example, a notification processing unit 61, a generation processing unit 62, a reception processing unit 63, a storage processing unit 64, a determination unit 65, a sleep parameter calculation unit 66, an analysis unit 67, and an evaluation unit 68. The notification processing unit 61, the generation processing unit 62, the reception processing unit 63, the storage processing unit 64, the determination unit 65, the sleep parameter calculation unit 66, the analysis unit 67, and the evaluation unit 68 are functional configurations provided in the CPU 51 by, for example, executing a sleep evaluation program 522.

[0056] The notification processing unit 61 performs (A) a process for causing the caregiver 31 to input information relating to the behavior of the infant 30, and (B) a process for notifying the caregiver 31 of sleep evaluation information of the infant 30.

[0057] (A) The process for having the caregiver 31 input information regarding the behavior of the infant 30 is, for example, a process for displaying an image including a GUI for inputting information regarding the behavior of the infant 30 (hereinafter, information input image) on the touch screen display 53. The GUI for inputting information is, for example, a button for selecting the actual behavior of the infant 30 from candidates of the infant 30's behavior, or a text area for inputting text representing the behavior of the infant 30.

[0058] More specifically, the notification processing unit 61 generates, for example, a display signal for displaying an information input image. The notification processing unit 61 sends the generated display signal to the touch screen display 53. The touch screen display 53 displays the information input image on the screen based on the received display signal. The displayed information input image prompts the caregiver 31 to input information related to the behavior of the infant 30. The caregiver 31 inputs information related to the behavior of the infant 30 by operating the displayed information input image via the touch panel.

[0059] The notification processing unit 61 may further use at least one of the vibration unit 57 and the speaker 58 to prompt the child care provider 31 to input information.

[0060] Specifically, the notification processing unit 61 may send a signal requesting vibration to the vibration unit 57 when the information input image is displayed. The vibration unit 57 vibrates the information processing device 21 based on the received signal. By vibrating the information processing device 21, the child care person 31 can be prompted to check the information input image displayed on the screen. This vibration may have a specific vibration pattern. The child care person 31 can recognize that the information input image has been displayed when the information processing device 21 vibrates with the specific vibration pattern.

[0061] The notification processor 61 may also send an audio signal associated with the information input image to the speaker 58. The speaker 58 outputs a sound based on the received audio signal. This sound may be a sound reading out a specific message or an alarm sound. The sound can prompt the child care provider 31 to check the information input image displayed on the screen.

[0062] (B) The process for notifying the caregiver 31 of the sleep evaluation information of the infant 30 is, for example, a process for displaying an image notifying the caregiver 31 of the sleep evaluation information (hereinafter referred to as a notification image) on the touch screen display 53. The notification image may include a GUI for inputting an evaluation of the notified sleep evaluation information. The GUI for inputting an evaluation of the notified sleep evaluation information is, for example, a button for inputting whether or not the notified sleep evaluation information was appropriate, or the degree to which it was appropriate.

[0063] Specifically, the notification processor 61 generates, for example, a display signal for displaying a notification image. The notification processor 61 sends the generated display signal to the touch screen display 53. The touch screen display 53 displays the notification image on the screen based on the received display signal. The caregiver 31 can obtain sleep evaluation information of the infant 30 by looking at the displayed notification image.

[0064] The notification processor 61 may further use at least one of the vibration unit 57 and the speaker 58 to prompt the child care provider 31 to check the sleep evaluation information.

[0065] Specifically, the notification processing unit 61 sends a signal requesting vibration to the vibration unit 57 based on the received sleep evaluation information. The vibration unit 57 vibrates the information processing device 21 based on the received signal. By vibrating the information processing device 21, the child care person 31 can be prompted to check the notification image displayed on the screen. This vibration may have a specific vibration pattern. The child care person 31 can recognize that sleep evaluation information has been notified when the information processing device 21 vibrates with the specific vibration pattern.

[0066] The notification processor 61 also sends an audio signal based on the sleep evaluation information to the speaker 58. The speaker 58 outputs a sound based on the received audio signal. This sound may be a specific message read out loud, or an alarm sound. The child care provider 31 can recognize the sleep evaluation information from the sound. Alternatively, the sound can prompt the child care provider 31 to check the notification image displayed on the screen.

[0067] The generation processing unit 62 generates data based on operations by the child care provider 31. The data based on operations by the child care provider 31 includes, for example, behavior data 541. The generation processing unit 62 generates the behavior data 541 based on, for example, operations by the child care provider 31 on the touch screen display 53 on which an information input image is displayed. The generation processing unit 62 stores the generated behavior data 541 in the storage device 54 in association with a date (or date, time, and minute).

[0068] The data based on the operation by the child care provider 31 may further include feedback data. The feedback data indicates an evaluation of the notified sleep evaluation information. More specifically, the feedback data indicates, for example, the result of the child care provider 31's judgment as to whether the notified information was appropriate. The generation processing unit 62 generates the feedback data based, for example, on the operation by the child care provider 31 on the touch screen display 53 on which the notification image is displayed. The generation processing unit 62 may use the feedback data to update the reference range table 545 in cooperation with the analysis unit 67.

[0069] The reception processing unit 63 receives data from each of the activity amount sensor 41 and the vital sensor 42 via the second communication unit 56. The data received via the second communication unit 56 is time-series activity amount data 542 and time-series vital data 543. The reception processing unit 63 sends the received data to the storage processing unit 64.

[0070] The storage processing unit 64 stores the data sent from the reception processing unit 63 in the storage device 54. The storage processing unit 64 stores, for example, the activity amount data 542 and the vital data 543 in the storage device 54 in association with the date and time. The associated date and time are the date and time when the corresponding data was measured, and are sent from each sensor together with the data, but if the data is sent in real time, they may be added by the reception processing unit 63 when receiving the data.

[0071] The determination unit 65 determines the quality of sleep of the infant 30 for each day using the behavior data 541 stored in the storage device 54. Specifically, the determination unit 65 calculates, for example, the number of determination criterion items that indicate good sleep quality among a plurality of determination criterion items included in the daily behavior data 541. Then, when the number of determination criterion items that indicate good sleep quality exceeds a threshold, the determination unit 65 determines that the quality of sleep of the infant 30 for that day is good. A specific example of determining the quality of sleep of the infant 30 using the behavior data 541 will be described later with reference to FIG. 5.

[0072] For example, for each sleep of infant 30, sleep parameter calculation section 66 calculates sleep parameters 544 corresponding to one sleep using at least one of activity amount data 542 and vital data 543 stored in storage device 54. Sleep parameter calculation section 66 may also calculate sleep parameters 544 using information input by child care provider 31 (e.g., the start time of putting infant to sleep). Alternatively, sleep parameter calculation section 66 may calculate sleep parameters 544 using moving image data generated by imaging device 43. The calculated sleep parameters 544 are stored in storage device 54.

[0073] Note that one sleep is, for example, a sleep during the night. More specifically, one sleep is, for example, the longest sleep within a 24-hour period including the night (for example, 24 hours from 12:00 on one day to 12:00 on the next day). One sleep may span across dates. In the following, one sleep is identified by the date on which the sleep started. For example, a sleep from 8:00 PM on April 1st to 6:00 AM on April 2nd is identified as a sleep on April 1st. In other words, a sleep on one day may be a sleep that spans across to the next day.

[0074] Analysis unit 67 determines the range of values ​​(reference range) of each sleep parameter 544 when the sleep quality is good, using multiple sleep parameters 544 on the day determined by determination unit 65 to be good sleep quality. Analysis unit 67 sets the determined reference range of each sleep parameter 544 in, for example, reference range table 545. A specific example of determining the reference range of each sleep parameter 544 will be described later with reference to FIGS. 8 and 9.

[0075] The evaluation unit 68 evaluates the quality of sleep of the infant 30 on a specific day using the reference range table 545. The evaluation unit 68 evaluates the quality of sleep of the infant 30, for example, on a daily basis. Alternatively, the evaluation unit 68 may evaluate the quality of sleep of the infant 30 on the most recent day in response to an operation on the information processing device 21 by the caregiver 31 (more specifically, an operation requesting a judgment of sleep quality).

[0076] Specifically, the evaluation unit 68 determines whether each of the plurality of sleep parameters 544 on a specific day is within a reference range set in the reference range table 545. The specific day is, for example, the day on which the sleep parameters 544 were most recently acquired (stored). For example, when all of the plurality of sleep parameters 544 on a specific day are within the corresponding reference ranges, the evaluation unit 68 determines that the quality of sleep of the infant 30 on the specific day is good. Also, for example, when at least one of the plurality of sleep parameters 544 on a specific day is outside the corresponding reference range, the evaluation unit 68 determines that the quality of sleep of the infant 30 on the specific day is poor. The evaluation unit 68 generates sleep evaluation information indicating the quality of sleep of the infant 30 on the specific day based on the determination result. Then, the evaluation unit 68 sends the generated sleep evaluation information to the notification processing unit 61. A specific example of evaluating the quality of sleep of the infant 30 on a specific day will be described later with reference to FIG. 10.

[0077] As described above, the notification processor 61 uses the sleep evaluation information received from the evaluator 68 to perform (B) a process for notifying the caregiver 31 of the sleep evaluation information of the infant 30. This allows the caregiver 31 to recognize the sleep quality of the infant 30 on a particular day. The caregiver 31 can then take measures to improve the sleep quality of the infant 30 as necessary. This allows the sleep quality of the infant 30 to be improved.

[0078] Here, the behavior data 541 generated based on the operation of the information processing device 21 by the child care provider 31 will be described.

[0079] FIG. 4 shows an example of an outline of each of a plurality of items included in the behavior data 541. A plurality of items included in the behavior data 541 are items (criterion items) used as criteria for judging the quality of sleep of the infant 30. The criterion items indicate the behavior of the infant 30 related to sleep. The criterion items include, for example, at least one of an item related to whether or not the infant woke up spontaneously, an item related to whether or not the infant woke up refreshed, an item related to whether or not the infant was in a good mood when waking up, an item related to whether or not the infant was in a good mood during the day, an item related to whether or not the infant was awake during the day, and an item related to the appearance and mood when waking up during the night. The value of each criterion item is set based on an operation of the information processing device 21 by the caregiver 31 (for example, an operation on the touch screen display 53). The caregiver 31 performs an operation to set the value of each criterion item after, for example, the infant 30 has slept for the most recent day. The value of each criterion item that has been set is used to judge the quality of sleep for the most recent day. More specifically, for example, to judge the quality of sleep of infant 30 on April 1st, criteria used include the infant's behavior and mood when awakened during the night on April 1st, whether the infant woke up spontaneously on April 2nd, whether the infant woke up refreshed, whether the infant was in a good mood when awakened, whether the infant was in a good mood during the day, and whether the infant was awake during the day.

[0080] In the judgment criterion items corresponding to sleep on a certain day, the item regarding whether or not the infant 30 woke up spontaneously indicates whether or not the infant 30 woke up spontaneously on that day. If the infant 30 woke up spontaneously, for example, "Y" is set in the item regarding whether or not the infant 30 woke up spontaneously. If the infant 30 did not wake up spontaneously, for example, "N" is set in the item regarding whether or not the infant 30 woke up spontaneously. The quality of the infant 30's sleep is better when "Y" is set in the item regarding whether or not the infant 30 woke up spontaneously than when "N" is set.

[0081] The item relating to whether or not the infant 30 woke up refreshed indicates whether or not the infant 30 woke up refreshed on the corresponding day. If the infant 30 woke up refreshed, for example, "Y" is set in the item relating to whether or not the infant 30 woke up refreshed. If it takes the infant 30 a long time to wake up, for example, "N" is set in the item relating to whether or not the infant 30 woke up refreshed. The quality of sleep of the infant 30 is better when "Y" is set in the item relating to whether or not the infant 30 woke up refreshed than when "N" is set.

[0082] The item relating to whether the infant 30 was in a good mood when waking up indicates whether the infant 30 was in a good mood when waking up on the corresponding day. If the infant 30 was in a good mood when waking up, for example, "Y" is set in the item relating to whether the infant 30 was in a good mood when waking up. If the infant 30 was in a bad mood when waking up, for example, "N" is set in the item relating to whether the infant 30 was in a good mood when waking up. The quality of sleep of the infant 30 is better when "Y" is set in the item relating to whether the infant 30 was in a good mood when waking up than when "N" is set.

[0083] The item relating to whether the infant 30 was in a good mood during the day indicates whether the infant 30 was in a good mood during the day on the corresponding day. If the infant 30 was in a good mood during the day, for example, "Y" is set in the item relating to whether the infant 30 was in a good mood during the day. If the infant 30 was in a bad mood during the day, for example, "N" is set in the item relating to whether the infant 30 was in a good mood when waking up. The quality of the infant 30's sleep is better when "Y" is set in the item relating to whether the infant 30 was in a good mood when waking up than when "N" is set.

[0084] The item relating to whether or not the infant 30 was awake during the day indicates whether or not the infant 30 was awake during the day on the corresponding day. If the infant 30 was awake during the day, for example, "Y" is set in the item relating to whether or not the infant 30 was awake during the day. If the infant 30 seemed sleepy during the day, for example, "N" is set in the item relating to whether or not the infant 30 was awake during the day. The quality of the infant 30's sleep is better when "Y" is set in the item relating to whether or not the infant 30 was awake during the day than when "N" is set.

[0085] The items related to the appearance and mood of the infant 30 when waking up during the night indicate the appearance and mood of the infant 30 when waking up during the night on the corresponding day. If the infant 30 does not wake up during the night, for example, "A" is set in the items related to the appearance and mood of the infant 30 when waking up during the night. If the infant 30 wakes up during the night without crying, for example, "B" is set in the items related to the appearance and mood of the infant 30 when waking up during the night. If the infant 30 wakes up crying, for example, "C" is set in the items related to the appearance and mood of the infant 30 when waking up during the night. The quality of the infant 30's sleep is better when "A" is set in the items related to the appearance and mood of the infant 30 when waking up during the night than when "B" is set. Also, the quality of the infant 30's sleep is better when "B" is set in the items related to the appearance and mood of the infant 30 when waking up during the night than when "C" is set.

[0086] The caregiver 31 observes the behavior of the infant 30 and determines the value to be set for each judgment criterion item in the behavior data 541. Based on the experience of raising the infant 30, the caregiver 31 is likely to be able to determine a value for each judgment criterion item that appropriately indicates the behavior, mood, state, etc. of the infant 30. Therefore, the behavior data 541 is useful as information for judging the quality of sleep of the infant 30. Note that the judgment criterion items are not limited to the examples described above, and various sleep-related behaviors of the infant 30 may be used.

[0087] The determination unit 65 of the information processing device 21 uses the behavior data 541 for N days to determine the quality of sleep of the infant 30 for each day. N is, for example, an integer equal to or greater than 1. The determination unit 65 is activated, for example, automatically by the CPU 51 or by an instruction from an operator, in response to the behavior data 541 for N days being accumulated in the storage device 54. Note that the activation of the determination unit 65 may be automatically performed after a predetermined period, for example, one week, has elapsed since the previous activation.

[0088] 5 shows an example of a result of determination by the determination unit 65 of the quality of sleep of the infant 30 using the behavior data 541. Here, a case is illustrated in which the quality of sleep of the infant 30 on each day is determined using three days' worth of behavior data 541.

[0089] The judgment unit 65 judges the quality of sleep of the infant 30 for each day based on the first index. The first index indicates, for example, the number of judgment criterion items that indicate good sleep quality among all judgment criterion items of the corresponding daily behavior data 541. The number of judgment criterion items that indicate good sleep quality is, for example, the number of items that are set to either "Y" or "A."

[0090] Specifically, when the first index exceeds the threshold, the judgment unit 65 judges that the quality of sleep on that day is good. When the first index is less than the threshold, the judgment unit 65 judges that the quality of sleep on that day is poor. When the first index is equal to the threshold, the judgment unit 65 judges that the quality of sleep on that day is normal. The threshold is, for example, half of all judgment criterion items. The threshold may be changed according to the age of the infant 30 in months. Alternatively, the threshold may be set by the caregiver 31. In the example shown in FIG. 5, the threshold is 3 (i.e., half of all judgment criterion items, which are six).

[0091] In the behavior data 541 for day 1 (DAY1), "N" is set in the item relating to whether or not the subject woke up spontaneously. "Y" is set in the item relating to whether or not the subject woke up refreshed. "Y" is set in the item relating to whether or not the subject was in a good mood when waking up. "Y" is set in the item relating to whether or not the subject was in a good mood during the day. "N" is set in the item relating to whether or not the subject was awake during the day. "C" is set in the item relating to the subject's behavior and mood when waking up in the middle of the night.

[0092] Since the number of “Y”s and “As” included in the behavior data 541 for DAY 1 is three, the determination unit 65 calculates the first index as 3. Since the first index is equal to the threshold value, the determination unit 65 determines that the quality of sleep on DAY 1 is normal.

[0093] In the behavior data 541 for the second day (DAY2), "N" is set in the item relating to whether or not the subject woke up spontaneously. "N" is set in the item relating to whether or not the subject woke up refreshed. "N" is set in the item relating to whether or not the subject was in a good mood when waking up. "Y" is set in the item relating to whether or not the subject was in a good mood during the day. "N" is set in the item relating to whether or not the subject was awake during the day. "C" is set in the item relating to the subject's behavior and mood when waking up in the middle of the night.

[0094] Because the number of “Y” and “A” included in the behavior data 541 for DAY 2 is 1, the determination unit 65 calculates the first index as 1. Then, because the first index is less than the threshold, the determination unit 65 determines that the quality of sleep on DAY 2 is poor.

[0095] In the behavior data 541 for the third day (DAY3), "Y" is set in the item relating to whether or not the subject woke up spontaneously. "Y" is set in the item relating to whether or not the subject woke up refreshed. "Y" is set in the item relating to whether or not the subject was in a good mood when waking up. "Y" is set in the item relating to whether or not the subject was in a good mood during the day. "N" is set in the item relating to whether or not the subject was awake during the day. "A" is set in the item relating to the appearance and mood when waking up in the middle of the night.

[0096] Since the number of “Y”s and “As” included in the behavior data 541 for DAY 3 is five, the determination unit 65 calculates the first index as 5. Since the first index exceeds the threshold, the determination unit 65 determines that the quality of sleep on DAY 3 is good.

[0097] In this way, the determination unit 65 can use the behavior data 541 to determine the quality of sleep of the infant 30 on each day.

[0098] Next, a description will be given of sleep parameters 544 calculated by sleep parameter calculation section 66. Fig. 6 shows an example of an overview of a plurality of sleep parameters 544.

[0099] The sleep parameters 544 are parameters for evaluating the quality of sleep of the infant 30. The sleep parameters 544 include, for example, the amount of activity per unit time, the average amount of activity when active, the start time of putting the infant to sleep, the time of putting the infant to sleep, the time of falling asleep, the time of waking up, the number of times of waking up, the total sleep time, the heart rate, the heart rate variability, the respiratory rate per unit time, the peripheral skin temperature, the deep sleep occupancy rate, the REM (Rapid Eye Movement: REM) sleep occupancy rate, and the sleep efficiency. Each sleep parameter is sent, for example, to the analysis unit 67 and used to generate or update the reference range table 545. Alternatively, each sleep parameter is sent, for example, to the evaluation unit 68, which judges whether the quality of sleep of the infant 30 is good or bad, and the result is sent to the notification processing unit 61 to be notified.

[0100] The activity amount per unit time is a value obtained by converting the activity amount from the time of falling asleep to the time of waking up into a value per unit time. The activity amount per unit time is calculated by the sleep parameter calculation unit 66, for example, based on the activity amount data 542 acquired by the activity amount sensor 41. The smaller the activity amount per unit time, the better, and therefore, if this is smaller than a predetermined value, the evaluation unit 68 may determine that the quality of the sleep of the infant 30 is good. However, if the activity amount per unit time is 0, the evaluation unit 68 may determine that the quality of the sleep of the infant 30 is poor. The unit time is, for example, one hour.

[0101] The average activity amount when active is the average value of the activity amount when body movement is detected between the time of falling asleep and the time of waking up. In other words, the average activity amount when active is the average value of the non-zero activity amount measured between the time of falling asleep and the time of waking up. The average activity amount when active is calculated by the sleep parameter calculation unit 66 based on the activity amount data 542 acquired by the activity amount sensor 41, for example. The smaller the average activity amount when active, the better. Therefore, if the average activity amount is smaller than a predetermined value, the evaluation unit 68 can determine that the quality of sleep of the infant 30 is good.

[0102] The putting-to-sleep start time is the time when the caregiver 31 starts putting the infant 30 to sleep (for example, the time when the infant 30 gets into bed). The putting-to-sleep start time is also referred to as the going-to-bed time or the going-to-bed time. The putting-to-sleep start time is input, for example, based on an operation of the caregiver 31 on the information processing device 21. Alternatively, the putting-to-sleep start time may be obtained, for example, by the CPU 51 analyzing video data acquired by the imaging device 43. The earlier the putting-to-sleep start time, the better, and therefore the evaluation unit 68 may determine that the quality of the infant 30's sleep is good if the time is earlier than a predetermined time.

[0103] The time to put to sleep is the time from the start time of putting to sleep to the time of falling asleep. For example, the time to put to sleep is calculated based on the start time of putting to sleep and the time of falling asleep after the start time of putting to sleep is input and the time of falling asleep is calculated by the sleep parameter calculation unit 66. The shorter the time to put to sleep, the better, and therefore the evaluation unit 68 can determine that the quality of the sleep of the infant 30 is good if the time is shorter than a predetermined time.

[0104] The sleep onset time is the time when the infant 30 falls asleep. The sleep onset time is calculated by the sleep parameter calculation unit 66, for example, based on the activity amount data 542 acquired by the activity amount sensor 41 or the vital data 543 acquired by the vital sensor 42. The sleep onset time is, for example, the first time after the start time of putting the infant to sleep that the activity amount of the infant 30 becomes 0 for a certain period of time (for example, 5 minutes). Alternatively, the sleep onset time may be input based on an operation of the childcare worker 31 on the information processing device 21. The earlier the sleep onset time, the better, and therefore the evaluation unit 68 may determine that the quality of the infant 30's sleep is good if the sleep onset time is earlier than a predetermined time.

[0105] The wake-up time is the time when the infant 30 wakes up. The wake-up time is, for example, the time when continuous strong body movement (for example, body movement with activity intensity equal to or greater than a threshold that continues for one hour or more) begins after the sleep onset time. The wake-up time is calculated by the sleep parameter calculation unit 66 based on, for example, activity amount data 542 acquired by the activity amount sensor 41 or vital data 543 acquired by the vital sensor 42. Alternatively, the wake-up time may be input based on an operation of the childcare worker 31 on the information processing device 21. The earlier the wake-up time, the better, and therefore the evaluation unit 68 may determine that the quality of the infant 30's sleep is good if the wake-up time is earlier than a predetermined time.

[0106] The awakening on the way back is the time during which there was an activity with an intensity equal to or greater than a threshold that did not continue for a specific time (e.g., one hour) or more between the time of falling asleep and the time of waking up. The awakening on the way back is calculated by the sleep parameter calculation unit 66, for example, based on the activity amount data 542 acquired by the activity amount sensor 41 or the vital data 543 acquired by the vital sensor 42. The shorter the awakening on the way back is, the better, and therefore the evaluation unit 68 may determine that the quality of sleep of the infant 30 is good if the awakening on the way back is shorter than a predetermined time.

[0107] The number of awakenings during sleep is the number of times that awakenings during the period between the time of falling asleep and the time of waking up. The number of awakenings during sleep is calculated by the sleep parameter calculation unit 66 based on the number of times that awakenings during the period between the time of falling asleep and the time of waking up. The fewer the number of awakenings during sleep, the better. Therefore, if the number of awakenings during sleep is less than a predetermined value, the evaluation unit 68 can determine that the quality of sleep of the infant 30 is good.

[0108] The total sleep time is the time from the time of falling asleep to the time of waking up, excluding the time of waking up during sleep. For example, the total sleep time is calculated based on the time of falling asleep, the time of waking up, and the time of waking up during sleep calculated by the sleep parameter calculation unit 66. Alternatively, the total sleep time may be input based on the operation of the information processing device 21 by the caregiver 31. If the total sleep time is within the range of the reference time for each month corresponding to the infant 30, the evaluation unit 68 may determine that the quality of the sleep of the infant 30 is good. Also, the closer the total sleep time is to the range of the reference time for each month corresponding to the infant 30, the better the evaluation unit 68 may determine that the quality of the sleep of the infant 30 is good.

[0109] The heart rate is the heart rate during deep sleep (for example, the mode of the heart rate three hours after falling asleep). The mode of the heart rate is calculated by the sleep parameter calculation unit 66 based on data corresponding to the deep sleep time among the vital data 543 acquired by the vital sensor 42 (more specifically, the heart rate data measured by the heart rate sensor), for example. The lower the mode of the heart rate, the better, and therefore, if this is smaller than a predetermined value, the evaluation unit 68 may determine that the quality of the sleep of the infant 30 is good. However, if the mode of the heart rate is 50 or less, the evaluation unit 68 may determine that the quality of the sleep of the infant 30 is poor.

[0110] The respiration rate per unit time is the respiration rate per unit time from the time of falling asleep to the time of waking up. The respiration rate per unit time is calculated by the sleep parameter calculation unit 66 based on, for example, data corresponding to the time from the time of falling asleep to the time of waking up among vital data 543 acquired by the vital sensor 42 (more specifically, respiration rate data measured by the respiration rate sensor). It is considered that the lower the respiration rate per unit time, the better, and therefore, if the respiration rate per unit time is smaller than a predetermined value, the evaluation unit 68 can determine that the quality of sleep of the infant 30 is good.

[0111] The distal skin temperature is the average skin temperature of the extremities such as the hands and feet from the time of falling asleep to the time of waking up. The distal skin temperature is calculated by the sleep parameter calculation unit 66 based on, for example, the data corresponding to the time from the time of falling asleep to the time of waking up among the vital data 543 acquired by the vital sensor 42 (more specifically, the skin temperature data measured by the skin temperature sensor). The higher the distal skin temperature during sleep, the better, and therefore, if the distal skin temperature is greater than a predetermined value, the evaluation unit 68 can determine that the quality of sleep of the infant 30 is good.

[0112] The deep sleep occupancy is the ratio of deep sleep time to the time from falling asleep to waking up. The deep sleep time is calculated by the sleep parameter calculation unit 66, for example, based on the activity amount data 542 acquired by the activity amount sensor 41. The higher the deep sleep occupancy, the better, and therefore, if the deep sleep occupancy is greater than a predetermined value, the evaluation unit 68 can determine that the quality of the sleep of the infant 30 is good.

[0113] The REM sleep occupancy is the ratio of REM sleep time to the time from sleep onset to wake-up time. The REM sleep time is calculated by the sleep parameter calculation unit 66, for example, based on the activity amount data 542 acquired by the activity amount sensor 41. The higher the REM sleep occupancy, the better, and therefore, if the REM sleep occupancy is greater than a predetermined value, the evaluation unit 68 can determine that the quality of the sleep of the infant 30 is good.

[0114] Sleep efficiency is the ratio of the time from the time of falling asleep to the time of waking up, excluding the time of waking up during sleep, to the time from the time of falling asleep to the time of waking up (i.e., total sleep time). For example, the sleep efficiency is calculated based on the time of falling asleep, the time of waking up, and the total sleep time calculated by the sleep parameter calculation unit 66. If the value of the sleep efficiency is higher than a predetermined value, the evaluation unit 68 can determine that the quality of sleep of the infant 30 is good.

[0115] In this way, by using the sleep parameters 544, the sleep evaluation system 1A can evaluate the quality of sleep of the infant 30. The sleep parameters 544 are not limited to the above-mentioned examples, and various parameters capable of evaluating the quality of sleep of the infant 30 can be used.

[0116] Sleep parameter calculation unit 66 of information processing device 21 calculates sleep parameters 544 when (1) analyzing a range of values ​​(reference range) of each sleep parameter 544 preferred for infant 30, and (2) evaluating the quality of sleep of infant 30 on a specific day. Below, each of (1) the case of analyzing a range of values ​​(reference range) of each sleep parameter 544 preferred for infant 30, and (2) the case of evaluating the quality of sleep of infant 30 on a specific day will be described.

[0117] (1) When analyzing the range (reference range) of values ​​of each sleep parameter 544 preferable for an infant 30 The sleep parameter calculation unit 66 calculates the sleep parameters 544 for the day on which the judgment unit 65 judges that the quality of the sleep is good. Specifically, the sleep parameter calculation unit 66 reads out from the storage device 54 the activity amount data 542 and the vital data 543 corresponding to the sleep on the day on which the judgment unit 65 judges that the quality of the sleep is good (DAY3 in the example shown in FIG. 5). The activity amount data 542 and the vital data 543 corresponding to the sleep on a certain day are the activity amount data 542 and the vital data 543 for a period (for example, 24 hours) including at least the time of the sleep. The sleep parameter calculation unit 66 calculates the sleep parameters 544 using the read out activity amount data 542 and the vital data 543. A specific calculation method of each sleep parameter 544 is as described above with reference to FIG. 6. The sleep parameter calculation unit 66 may calculate two or more of the plurality of sleep parameters 544 shown in FIG. 6 using at least one of the activity amount data 542 and the vital data 543. The sleep parameter calculation section 66 stores (accumulates) the calculated sleep parameters 544 in the storage device 54.

[0118] (2) To evaluate the quality of sleep of infants and toddlers on a specific day Sleep parameter calculation section 66 reads out activity amount data 542 and vital data 543 corresponding to sleep on a specific day from storage device 54. Then, sleep parameter calculation section 66 calculates sleep parameters 544 using read out activity amount data 542 and vital data 543. A specific calculation method for each sleep parameter 544 is as described above with reference to FIG. 6. Note that sleep parameter calculation section 66 may calculate two or more of the plurality of sleep parameters 544 shown in FIG. 6 using at least one of activity amount data 542 and vital data 543. Sleep parameter calculation section 66 sends calculated sleep parameters 544 for the specific day to evaluation section 68.

[0119] It should be noted that sleep parameter calculation section 66 may calculate sleep parameters 544 for each sleep session of infant 30 in one day, for example. Calculated sleep parameters 544 are stored in storage device 54, for example.

[0120] 7 shows an example of a plurality of sleep parameters 544 calculated for each of a plurality of days of sleep (i.e., a plurality of sleeps) stored in the storage device 54. Here, an example of a plurality of sleep parameters 544 calculated for each of the sleeps of the infant 30 on three different days is shown. The infant 30 is, for example, a nine-month-old infant.

[0121] For example, during sleep on DAY 1, the amount of activity per unit time is 22.4. The average amount of activity when active is 2.8. The total sleep time is 432 minutes. The time it takes to put the patient to sleep (sleep latency) is 38 minutes. The time the patient starts putting the patient to sleep (time of going to bed) is 11:38 p.m. The time the patient wakes up is 7:54 a.m. The number of times the patient awakens is 1. The most frequent heart rate is 93.

[0122] During sleep on DAY2, the amount of activity per unit time is 25.6. The average amount of activity when active is 3.0. The total sleep time is 478 minutes. The time spent putting the child to sleep is 5 minutes. The time spent putting the child to sleep begins at 10:50 p.m. The time spent waking up is 7:06 a.m. The number of times the child woke up during the night is 1. The most frequent heart rate is 96.

[0123] During sleep on DAY3, the amount of activity per unit time is 22.0. The average amount of activity when active is 3.0. The total sleep time is 538 minutes. The time spent putting the child to sleep is 10 minutes. The time spent putting the child to sleep begins at 9:30 p.m. The time spent waking up is 6:28 a.m. The number of times the child woke up during the night is 0. The most frequent heart rate is 105.

[0124] 8 and 9, an example of the operation of analysis unit 67 will be described in which analysis unit 67 analyzes sleep parameters 544 on L days determined to have good sleep quality and determines a reference range for sleep parameters 544. L is an integer equal to or greater than 1.

[0125] Analysis unit 67 of information processing device 21 determines the reference range of each sleep parameter 544, for example, using sleep parameters 544 on L days on which sleep quality was determined to be good. A specific description will be given of a case in which the reference range of one sleep parameter out of multiple sleep parameters 544 is determined. The sleep parameter 544 for which the reference range is to be determined is referred to as target sleep parameter 544.

[0126] The analysis unit 67 reads out from the storage device 54 the L values ​​of the target sleep parameter 544 corresponding to each of the L days (i.e., L sleeps) on which the quality of sleep was determined to be good. The analysis unit 67 determines the reference range of the target sleep parameter 544 based on the L values ​​of the read out target sleep parameter 544. For example, the analysis unit 67 determines the range from the minimum value to the maximum value among the L values ​​of the read out target sleep parameter 544 as the reference range of the target sleep parameter 544. For example, the analysis unit 67 may calculate the average value of the L values ​​of the read out target sleep parameter 544 and determine a specific range including the average value as the reference range of the target sleep parameter 544. Alternatively, the analysis unit 67 may calculate the median value of the L values ​​of the read out target sleep parameter 544 and determine a specific range including the median value as the reference range of the target sleep parameter 544. The specific range is, for example, a range of plus or minus X% of a specific value (for example, an average value or a median value). X% is a percentage that can be set arbitrarily, for example, 30% or 40%.

[0127] FIG. 8 shows an example of sleep parameters 544 on a day determined to have good sleep quality. Here, a case is illustrated where the day determined to have good sleep quality is L days including DAY3 and DAYx. The sleep parameters 544 for each of the L days are accumulated in the storage device 54 by the sleep parameter calculation unit 66. For example, the amount of activity per unit time is 22.0 on DAY3 and 18.0 on DAYx. Also, for example, the total sleep time is 538 minutes on DAY3 and 482 minutes on DAYx.

[0128] FIG. 9 shows an example of the reference range determined for each sleep parameter 544. For example, a range from 18.0 to 22.0 is set as the reference range of the amount of activity per unit time. This indicates that, for example, the analysis unit 67 has determined, based on L values ​​of the amount of activity per unit time corresponding to each of the L days including DAY3 and DAYx shown in FIG. 8, a range from the minimum value (here, 18.0) to the maximum value (here, 22.0) of the L values ​​as the reference range of the amount of activity per unit time. Also, for example, a range from 482 minutes to 538 minutes is set as the reference range of the total sleep time. This indicates that, for example, the analysis unit 67 has determined, based on L values ​​of the total sleep time corresponding to each of the L days including DAY3 and DAYx shown in FIG. 8, a range from the minimum value (here, 482 minutes) to the maximum value (here, 538 minutes) of the L values ​​as the reference range of the total sleep time. The analysis unit 67 determines the corresponding reference ranges for each of the other sleep parameters 544 in the same manner.

[0129] In this way, analysis unit 67 can use sleep parameters 544 on days when sleep quality is determined to be good to determine the reference range for each sleep parameter 544. The reference range determined for each sleep parameter 544 is stored in storage device 54 as, for example, reference range table 545.

[0130] Next, an example will be described in which the sleep quality of an infant 30 on a particular day is evaluated using the reference range table 545.

[0131] FIG. 10 shows an example of multiple sleep parameters 544 for a particular day for which sleep quality is assessed.

[0132] During sleep on a particular day when sleep quality is evaluated (evaluation day), the amount of activity per unit time is 18.5. The average amount of activity when active is 2.7. The total sleep time is 494 minutes. The time it takes to put the subject to sleep (sleep latency) is 44 minutes. The time when putting the subject to sleep begins (time of going to bed) is 11:14 p.m. The time of waking up is 7:28 a.m. The number of times the subject awakened during sleep is 0. The most frequent heart rate is 103.

[0133] The evaluation unit 68 evaluates the quality of sleep of the infant 30 on the evaluation DAY using the sleep parameters 544 of the evaluation DAY and the reference range table 545. Specifically, the evaluation unit 68 determines whether or not each value of the sleep parameters 544 is within the corresponding reference range in the reference range table 545. For example, when the reference range table 545 shown in FIG. 9 is used, the evaluation unit 68 determines that the activity amount per unit time of the evaluation DAY, 18.5, is within the range of 18.0 to 22.0, which is the reference range of the activity amount per unit time. The evaluation unit 68 determines that the average activity amount when there is an activity amount of the evaluation DAY, 2.7, is within the range of 2.0 to 3.0, which is the reference range of the average activity amount when there is an activity amount. The evaluation unit 68 determines that the total sleep time of the evaluation DAY, 494 minutes, is within the range of 482 to 538 minutes, which is the reference range of the total sleep time. The evaluation unit 68 determines that the put-to-sleep time of 44 minutes on the evaluation DAY is outside the range of 10 to 24 minutes, which is the reference range for put-to-sleep time. The evaluation unit 68 determines that the put-to-sleep start time of 11:14 p.m. on the evaluation DAY is outside the range of 9:30 p.m. to 10:14 p.m., which is the reference range for put-to-sleep start times. The evaluation unit 68 determines that the wake-up time of 7:28 a.m. on the evaluation DAY is within the range of 6:28 a.m. to 7:30 a.m., which is the reference range for wake-up times. The evaluation unit 68 determines that the number of times of awakening during the night on the evaluation DAY is 0 times within the range of 0 times, which is the reference range for the number of times of awakening during the night. The evaluation unit 68 determines that the heart rate mode of 106 on the evaluation DAY is outside the range of 92 to 105, which is the reference range for the heart rate mode.

[0134] For example, if all of the sleep parameters 544 of the evaluation day are within the corresponding reference ranges, the evaluation unit 68 determines that the quality of sleep of the infant 30 on the evaluation day is good. Also, for example, if at least one of the sleep parameters 544 of the evaluation day is outside the corresponding reference range, the evaluation unit 68 determines that the quality of sleep of the infant 30 on the evaluation day is poor. When this evaluation method is applied to the sleep parameters 544 of the evaluation day shown in Figure 10, the time to put the infant to sleep, the start time of putting the infant to sleep, and the most frequent heart rate are outside the corresponding reference ranges, so the evaluation unit 68 determines that the quality of sleep of the infant 30 on the evaluation day is poor.

[0135] Alternatively, the evaluation unit 68 uses the sleep parameters 544 of the evaluation DAY and the reference range table 545 to calculate an index (second index) indicating the quality of sleep on the evaluation DAY. For example, the evaluation unit 68 calculates the number of sleep parameters 544 determined to have good quality among the sleep parameters 544 of the evaluation DAY as the second index. If the second index is greater than a threshold, the evaluation unit 68 determines that the quality of sleep of the infant 30 is good. If the second index is equal to the threshold, the evaluation unit 68 determines that the quality of sleep of the infant 30 is normal. If the second index is smaller than the threshold, the evaluation unit 68 determines that the quality of sleep of the infant 30 is poor. The threshold is an integer that can be set arbitrarily, and is, for example, half of all the sleep parameters 544 of the evaluation DAY. When this evaluation method using the second index is applied to the sleep parameters 544 of the evaluation DAY shown in FIG. 10, the evaluation unit 68 calculates 5 as the second index. The threshold value is set to 4, which is half of all sleep parameters 544 on the evaluation DAY. Therefore, evaluation unit 68 determines that the quality of sleep of infant 30 on the evaluation DAY is good, since the second index of the evaluation DAY is greater than the threshold value. The method of calculating the second index is not limited to the above-mentioned example, and any method may be used, such as calculating the ratio of the number of sleep parameters 544 determined to have good sleep quality to the total number of sleep parameters 544 on the evaluation DAY.

[0136] The evaluation unit 68 generates sleep evaluation information based on the result of evaluating the quality of sleep of the infant 30 on the evaluation DAY. The sleep evaluation information includes, for example, either information indicating that the quality of sleep of the infant 30 on the evaluation DAY is good or information indicating that the quality of sleep of the infant 30 on the evaluation DAY is poor. The sleep evaluation information may include information indicating that the quality of sleep of the infant 30 on the evaluation DAY is normal. Furthermore, the sleep evaluation information may include an index (for example, a second index) indicating the quality of sleep. The evaluation unit 68 sends the generated sleep evaluation information to the notification processing unit 61.

[0137] The notification processor 61 uses the sleep evaluation information received from the evaluation unit 68 to notify the caregiver 31 of the sleep quality of the infant 30. Alternatively, the notification processor 61 may notify the caregiver 31 of the sleep evaluation information for M days (M sleeps) including the evaluation DAY. The sleep evaluation information for each day other than the evaluation DAY among the M days is, for example, sleep evaluation information for a day that has already been evaluated by the evaluation unit 68 before evaluating the sleep quality on the evaluation DAY. The notification processor 61 uses the sleep evaluation information for the M days to display, for example, a graph showing the sleep quality for the M days on the screen of the touch screen display 53. M is, for example, an integer equal to or greater than 2.

[0138] FIG. 11 shows an example of notification of sleep evaluation information. Here, the sleep evaluation information for day M is notified by a graph of an index indicating sleep quality. More specifically, for example, the number of sleep parameters 544 within the reference range (i.e., the number of sleep parameters 544 determined to have good sleep quality) is displayed as a bar graph to visualize the degree of sleep quality. A bar graph showing a larger value indicates a better sleep quality. The threshold value shown in FIG. 11 is, for example, 4. The child care provider 31 recognizes that the day corresponding to the bar graph showing a value larger than the threshold has good sleep quality. In other words, the child care provider 31 recognizes that the sleep quality of the infant 30 is good on DAY 3 and the evaluation DAY, and that the sleep quality of the other days is poor. This allows the child care provider 31 to recognize the transition of the sleep quality of the infant 30 on day M, as well as the sleep quality of the infant 30 on the evaluation DAY. Specifically, the child care provider 31 can check, for example, whether the sleep quality of the infant 30 is improving day by day. This allows the child care provider 31 to take measures to improve the sleep quality of the infant 30 as necessary. Therefore, the quality of sleep of the baby 30 can be improved.

[0139] Next, the procedure of the process executed in the information processing device 21 will be described with reference to the flowcharts of FIGS.

[0140] 12 is a flowchart showing an example of the procedure of a reference range acquisition process executed in information processing device 21. The reference range acquisition process is a process for determining a day on which sleep quality is good using behavior data 541, and acquiring a reference range of sleep parameter 544 using sleep parameter 544 on the day on which sleep quality is good. Here, a case is illustrated in which CPU 51 of information processing device 21 executes the reference range acquisition process in response to acquiring behavior data 541 for N days.

[0141] First, the CPU 51 sets a variable i to 1 (step S101). The variable i is used to identify one day among N days. Any value from 1 to N is set to the variable i.

[0142] The CPU 51 reads out the behavior data 541 of the i-th day from the storage device 54 (step S102). The CPU 51 calculates an index (first index) indicating the quality of sleep on the i-th day using the read out behavior data 541 of the i-th day (step S103). The first index is expressed by, for example, the number of judgment criterion items indicating good quality of sleep among all judgment criterion items of the behavior data 541 of the i-th day, as described above with reference to FIG. 5. The CPU 51 determines whether the calculated first index exceeds a threshold value (step S104). That is, the CPU 51 determines whether the quality of sleep on the i-th day was good.

[0143] If the calculated first index exceeds the threshold value (Yes in step S104), CPU 51 executes a sleep parameter calculation process to calculate sleep parameters 544 on the i-th day (step S105), and proceeds to step S106. Specific steps of the sleep parameter calculation process will be described later with reference to FIG.

[0144] If the calculated first index is equal to or smaller than the threshold value (No in step S104), CPU 51 proceeds to step S106 without calculating sleep parameter 544 on the i-th day, for example.

[0145] Next, the CPU 51 adds 1 to the variable i (step S106). The CPU 51 determines whether the variable i is equal to or smaller than N (step S107).

[0146] If the variable i is equal to or less than N (Yes in step S107), the CPU 51 proceeds to step S102. That is, the CPU 51 determines whether the quality of sleep on the new i-th day is good or not, and if the quality of sleep is good, proceeds to a process for calculating the sleep parameters 544 for the i-th day.

[0147] If the variable i exceeds N (No in step S107), the quality of sleep has been determined for all N days, and so CPU 51 acquires a reference range for sleep parameter 544 based on sleep parameter 544 calculated for a day on which sleep quality is good (step S108). For example, if sleep parameter 544 is an activity amount per unit time, CPU 51 acquires a maximum value and a minimum value of the activity amount per unit time from sleep parameter 544 for a day on which sleep quality is good. CPU 51 acquires the range from the acquired minimum value to the acquired maximum value as a reference range for the activity amount per unit time. CPU 51 sets the acquired reference range in reference range table 545 in storage device 54 (step S109), and ends the reference range acquisition process.

[0148] Through the above-described reference range acquisition process, CPU 51 can determine a day on which the quality of sleep is good using behavior data 541, and acquire the reference range of sleep parameter 544 using sleep parameter 544 on a day on which the quality of sleep is good.

[0149] 13 is a flowchart showing an example of the procedure of a sleep parameter calculation process executed in information processing device 21. The sleep parameter calculation process is a process for analyzing data acquired by sensor 4 and calculating sleep parameters 544 for a particular day.

[0150] The sleep parameter calculation process may correspond to step S105 of the reference range acquisition process described above with reference to Fig. 12. In this case, the particular day for which sleep parameters 544 are calculated is a day with good quality sleep.

[0151] The sleep parameter calculation process may correspond to step S31 of the evaluation and notification process described below with reference to Fig. 14. In this case, the specific day for which sleep parameters 544 are calculated is a day for which sleep quality is to be evaluated.

[0152] Specifically, first, CPU 51 reads out activity amount data 542 and vital data 543 for a day for which sleep parameters 544 are to be calculated from storage device 54 (step S21). Activity amount data 542 and vital data 543 for a day are activity amount data 542 and vital data 543 for a period including at least a sleep time on the day. CPU 51 calculates sleep parameters 544 using read activity amount data 542 and vital data 543 (step S22). The method of calculating each sleep parameter 544 is as described above with reference to FIG. 6. CPU 51 then stores calculated sleep parameters 544 in storage device 54 (step S23) and ends the sleep parameter calculation process. Calculated sleep parameters 544 are stored in storage device 54 in association with a corresponding date, for example.

[0153] Through the above sleep parameter calculation process, CPU 51 can calculate sleep parameters 544 for a particular day using activity amount data 542 and vital data 543.

[0154] 14 is a flowchart showing an example of the procedure of evaluation and notification processing executed in the information processing device 21. The evaluation and notification processing is processing for evaluating the quality of sleep of the infant 30 on a specific day and notifying the child caregiver 31 of the sleep evaluation information. The specific day is a target day for evaluating the quality of sleep of the infant 30, for example, the most recent day on which the activity amount data 542 and vital data 543 were acquired. The CPU 51 executes the evaluation and notification processing, for example, at regular time intervals. Alternatively, the CPU 51 may execute the evaluation and notification processing in response to an operation by the child caregiver 31 on the information processing device 21 (more specifically, an operation requesting an evaluation of sleep quality).

[0155] First, CPU 51 executes the sleep parameter calculation process to calculate sleep parameters 544 for a particular day (step S31). The specific steps of the sleep parameter calculation process are as described above with reference to FIG.

[0156] Next, the CPU 51 calculates an index (second index) indicating the quality of sleep on the specific day using the reference range table 545 and the acquired sleep parameters 544 (step S32). The second index is represented, for example, by the number of sleep parameters 544 that are within the reference ranges shown in the reference range table 545. The CPU 51 generates sleep evaluation information based on the calculated second index (step S33). The sleep evaluation information includes, for example, the second index. The sleep evaluation information may be information indicating the superiority or inferiority of the quality of sleep corresponding to the second index (for example, sleep quality is good, normal, poor, etc.). Alternatively, the sleep evaluation information may be information indicating the transition of the second index for a certain period (for example, one week, one month, one year, etc.) including the specific day. The CPU 51 then notifies the generated sleep evaluation information to the child care provider 31 (step S34) and ends the evaluation and notification process.

[0157] Through the above evaluation and notification process, the CPU 51 can notify the caregiver 31 of the sleep quality of the infant 30 on a particular day. Based on this notification, the caregiver 31 can recognize the sleep quality of the infant 30 and can take measures to improve the sleep quality as necessary. This makes it possible to improve the sleep quality of the infant 30.

[0158] Second embodiment In the sleep evaluation system 1A according to the first embodiment, an information processing device 21 used by a child care provider 31 evaluates the quality of sleep of an infant 30 using behavior data 541 based on input operations by the child care provider 31 and data acquired by the sensor 4 (i.e., activity amount data 542 and vital data 543). In contrast, in the sleep evaluation system 1A according to the second embodiment, the data acquired by the sensor 4 is used to relatively evaluate the quality of sleep of an infant 30.

[0159] The configuration of the sleep evaluation system 1A according to the second embodiment is similar to that of the sleep evaluation system 1A according to the first embodiment. The second embodiment differs from the first embodiment in the procedure of the process executed by the evaluation unit 68. Below, the differences from the first embodiment will be mainly described.

[0160] Fig. 15 is a block diagram showing an example of the system configuration of an information processing device 21 in a sleep evaluation system 1A according to the second embodiment. In the information processing device 21 of the first embodiment, as shown in Fig. 2, behavior data 541, activity amount data 542, vital data 543, sleep parameters 544, and reference range table 545 are stored in the storage device 54. In contrast, in the information processing device 21 of the second embodiment, the activity amount data 542, vital data 543, sleep parameters 544, and relative evaluation table 546 are stored in the storage device 54. Other system configurations of the information processing device 21 of the second embodiment are similar to those of the information processing device 21 of the first embodiment.

[0161] FIG. 16 is a block diagram showing an example of the functional configuration of a CPU 51 that executes a sleep evaluation program 522 in the information processing device 21 of the second embodiment.

[0162] The CPU 51 of the information processing device 21 includes, for example, a notification processing unit 61, a generation processing unit 62, a reception processing unit 63, a storage processing unit 64, a sleep parameter calculation unit 66, and an evaluation unit 68. The notification processing unit 61, the generation processing unit 62, the reception processing unit 63, the storage processing unit 64, the sleep parameter calculation unit 66, and the evaluation unit 68 are functional configurations provided in the CPU 51 by, for example, executing a sleep evaluation program 522. The notification processing unit 61, the generation processing unit 62, the reception processing unit 63, the storage processing unit 64, and the sleep parameter calculation unit 66 have, for example, the same functions as in the first embodiment.

[0163] The evaluation unit 68 evaluates the quality of sleep on the multiple days using multiple sleep parameters 544 corresponding to each of the sleeps on the multiple days (i.e., multiple sleeps). The multiple sleep parameters 544 corresponding to each of the sleeps on the multiple days are, for example, sleep parameters 544 stored in the storage device 54. Specifically, the evaluation unit 68 determines which sleep has better quality for all combinations of two-day sleeps (i.e., two sleeps) selected from the sleeps on the multiple days. The evaluation unit 68 relatively evaluates the quality of sleep on the multiple days by determining which sleep has better quality for all combinations of two-day sleeps. That is, the evaluation unit 68 acquires multiple sleep parameters 544 (hereinafter, third sleep parameters 544) for an arbitrary sleep (hereinafter, third sleep) among the multiple sleeps and multiple sleep parameters 544 (hereinafter, fourth sleep parameters) for an arbitrary sleep (hereinafter, fourth sleep) different from the third sleep among the multiple sleeps from the multiple sleeps, from the multiple sleep parameters 544 of each of the multiple sleeps. The evaluation unit 68 compares each of the third plurality of sleep parameters 544 with each of the fourth plurality of sleep parameters 544 to obtain the number of sleep parameters indicating that the third sleep has better quality of the sleep of the infant 30 than the fourth sleep (hereinafter, the third number) and the number of sleep parameters indicating that the fourth sleep has better quality of the sleep of the infant 30 than the third sleep (hereinafter, the fourth number). The evaluation unit 68 performs a process of determining which of the third sleep and the fourth sleep has better quality based on the third number and the fourth number. The evaluation unit 68 performs such a process of determining which of the two sleeps has better quality for all combinations of two sleeps selected from the multiple sleeps. Then, the evaluation unit 68 may order the sleeps of the multiple days based on the quality of the sleep. Note that an example of the specific content of the sleep parameters 544 is as described above with reference to FIG. 6.

[0164] A specific example in which the evaluation unit 68 relatively evaluates the quality of sleep on multiple days will be described with reference to Figs. 17 to 19.

[0165] FIG. 17 shows (a) example sleep parameters 544 across multiple days and (b) example relationships between sleep parameters 544 and sleep quality.

[0166] 17(a) shows values ​​of a plurality of sleep parameters 544 corresponding to three days of sleep of an infant 30. The infant 30 is, for example, an infant of 9 months of age. The three days of sleep are sleep on DAY1, DAY2, and DAY3.

[0167] Fig. 17(b) shows a method for evaluating the quality of sleep based on the values ​​of each sleep parameter 544 shown in Fig. 17(a). Evaluator 68 determines, for each sleep parameter 544, whether the quality of sleep on one day is better than the quality of sleep on another day, based on this evaluation method, for example.

[0168] The sleeping hours of the infant 30 change according to the month (age), for example, as shown in Reference 1 below.

[0169] Reference 1: Research Group on Sleep and Information and Communication Device Use in Preschool Children, "Sleep Guidelines for Preschool Children," [online], [Retrieved March 30, 2023], Internet <URL:<https: / / www.mhlw.go.jp / content / 000375711.pdf> FIG. 18 shows an example of a reference range for the total sleep time of an infant 30.

[0170] The evaluation unit 68 uses a plurality of sleep parameters 544 corresponding to each of the three days of sleep of the infant 30 shown in FIG. 17(a) to determine which day has better quality of sleep for all combinations of two days of sleep selected from the three days of sleep. That is, the evaluation unit 68 determines which day has better quality of sleep for each of the combinations of DAY1 and DAY2, the combination of DAY2 and DAY3, and the combination of DAY1 and DAY3. Here, the evaluation unit 68 determines which of the two days of sleep has better quality using a method for evaluating the superiority or inferiority of sleep quality based on the values ​​of each sleep parameter 544 shown in FIG. 17(b) and the reference time of the total sleep time of the infant 30 according to the month age shown in FIG. 18.

[0171] Fig. 19 shows an example of a relative evaluation result of the sleep quality of infant 30 over three days. Fig. 19 shows a sleep quality judgment result 71 for each sleep parameter 544 and an evaluation result 72 of the sleep quality for the two days constituting each combination for each combination of DAY1 and DAY2, DAY2 and DAY3, and DAY1 and DAY3. The sleep quality judgment result 71 for each sleep parameter 544 is also referred to as a parameter judgment result 71. The evaluation result 72 of the sleep quality for the two days constituting each combination is also simply referred to as an evaluation result 72.

[0172] For example, the days on which the quality of sleep was determined to be better or the same quality of sleep are shown as the parameter determination results 71. In the example shown in Fig. 19, the parameter determination results 71 are shown for each of the eight sleep parameters 544, namely, the amount of activity per unit time, the average amount of activity when active, the total sleep time, the time to put the person to sleep, the time to go to bed, the time to wake up, the number of times the person was awakened during the night, and the most frequent heart rate.

[0173] For example, the days on which the sleep quality was evaluated as better or the sleep quality was the same are shown as the evaluation results 72. The evaluation results 72 are determined based on, for example, the number of sleep parameters 544 on one day for which the sleep quality was determined to be better (i.e., the number on one day shown as the parameter evaluation results 71) and the number of sleep parameters 544 on the other day for which the sleep quality was determined to be better (i.e., the number on the other day shown as the parameter evaluation results 71).

[0174] A parameter judgment result 71 and an evaluation result 72 for the combination of DAY1 and DAY2 (DAY1×DAY2) will be specifically explained.

[0175] The amount of activity per unit time on DAY1 (22.4) is less than the amount of activity per unit time on DAY2 (25.6). The quality of sleep is better the less the amount of activity per unit time. Therefore, the parameter determination result 71 of the amount of activity per unit time for the combination of DAY1 and DAY2 indicates DAY1.

[0176] The average amount of activity when active on DAY1 (2.8) is less than the average amount of activity when active on DAY2 (3.0). The lower the average amount of activity when active, the better the quality of sleep. Therefore, the parameter determination result 71 of the average amount of activity when active for the combination of DAY1 and DAY2 indicates DAY1.

[0177] The total sleep time on DAY1 (432 minutes) and the total sleep time on DAY2 (478 minutes) are both within the standard range of total sleep time. As shown in FIG. 18, when the infant 30 is 9 months old, the standard range of total sleep time is from 6 to 8 hours (i.e., from 360 to 480 minutes). Therefore, the parameter determination result 71 of the total sleep time for the combination of DAY1 and DAY2 indicates that the quality of sleep is the same.

[0178] The time to put the child to sleep on DAY 1 (38 minutes) is longer than the time to put the child to sleep on DAY 2 (5 minutes). The shorter the time to put the child to sleep, the better the quality of sleep. Therefore, the parameter determination result 71 of the time to put the child to sleep for the combination of DAY 1 and DAY 2 indicates DAY 2.

[0179] The sleep start time on DAY 1 (11:38 p.m.) is later than the sleep start time on DAY 2 (10:50 p.m.). The quality of sleep is better the earlier the sleep start time. Therefore, parameter determination result 71 of the sleep start time for the combination of DAY 1 and DAY 2 indicates DAY 2.

[0180] The wake-up time on DAY 1 (7:54) is later than the wake-up time on DAY 2 (7:06). The quality of sleep is better the earlier the wake-up time. Therefore, the wake-up time parameter determination result 71 for the combination of DAY 1 and DAY 2 indicates DAY 2.

[0181] The number of awakenings during the night on DAY 1 (1 time) is the same as the number of awakenings during the night on DAY 2 (1 time). Therefore, the parameter determination result 71 of the number of awakenings during the night for the combination of DAY 1 and DAY 2 indicates that the quality of sleep is the same.

[0182] The heart rate mode on DAY 1 (93) is lower than the heart rate mode on DAY 2 (96). The lower the heart rate mode, the better the quality of sleep. Therefore, the parameter determination result 71 of the heart rate mode for the combination of DAY 1 and DAY 2 indicates DAY 1.

[0183] According to the above eight parameter determination results 71, the number of sleep parameters 544 indicating better sleep quality on DAY 1 is 3, and the number of sleep parameters 544 indicating better sleep quality on DAY 2 is 3. Therefore, the sleep quality evaluation result 72 for the combination of DAY 1 and DAY 2 indicates that the sleep quality on DAY 1 and DAY 2 is the same.

[0184] Next, for the combination of DAY2 and DAY3 (DAY2×DAY3), the parameter judgment result 71 and the evaluation result 72 will be specifically explained.

[0185] The amount of activity per unit time on DAY2 (25.6) is greater than the amount of activity per unit time on DAY3 (22.0). The lower the amount of activity per unit time, the better the quality of sleep. Therefore, the parameter determination result 71 of the amount of activity per unit time for the combination of DAY2 and DAY3 indicates DAY3.

[0186] The average activity amount (3.0) when active on DAY 2 is the same as the average activity amount (3.0) when active on DAY 3. Therefore, the parameter determination result 71 of the average activity amount when active on the combination of DAY 2 and DAY 3 indicates that the quality of sleep is the same.

[0187] The total sleep time on DAY2 (478 minutes) is within the standard range for total sleep time. The total sleep time on DAY3 (538 minutes) is outside the standard range for total sleep time. As shown in FIG. 18, when infant 30 is 9 months old, the standard range for total sleep time is from 6 to 8 hours (i.e., from 360 to 480 minutes). Therefore, the parameter determination result 71 of the total sleep time for the combination of DAY2 and DAY3 indicates DAY2.

[0188] The time to put the child to sleep on DAY 2 (5 minutes) is shorter than the time to put the child to sleep on DAY 3 (10 minutes). The shorter the time to put the child to sleep, the better the quality of sleep. Therefore, the parameter determination result 71 of the time to put the child to sleep for the combination of DAY 2 and DAY 3 indicates DAY 2.

[0189] The sleep start time on DAY 2 (10:50 p.m.) is later than the sleep start time on DAY 3 (9:30 p.m.). The quality of sleep is better the earlier the sleep start time. Therefore, parameter determination result 71 of the sleep start time for the combination of DAY 2 and DAY 3 indicates DAY 3.

[0190] The wake-up time on DAY 2 (7:06) is later than the wake-up time on DAY 3 (6:28). The quality of sleep is better the earlier the wake-up time. Therefore, the wake-up time parameter determination result 71 for the combination of DAY 2 and DAY 3 indicates DAY 3.

[0191] The number of awakenings on DAY2 (1) is greater than the number of awakenings on DAY3 (0). The quality of sleep is better the fewer the number of awakenings. Therefore, the parameter determination result 71 of the number of awakenings for the combination of DAY2 and DAY3 indicates DAY3.

[0192] The heart rate mode on DAY 2 (96) is lower than the heart rate mode on DAY 3 (105). The lower the heart rate mode, the better the quality of sleep. Therefore, the parameter determination result 71 of the heart rate mode for the combination of DAY 2 and DAY 3 indicates DAY 2.

[0193] According to the above eight parameter determination results 71, the number of sleep parameters 544 indicating better sleep quality on DAY 2 is 3, and the number of sleep parameters 544 indicating better sleep quality on DAY 3 is 4. Therefore, the evaluation result 72 of the sleep quality for the combination of DAY 2 and DAY 3 indicates DAY 3.

[0194] Further, by using a similar method, the sleep quality evaluation result 72 for the combination of DAY 1 and DAY 3 indicates DAY 3.

[0195] Based on the evaluation results 72 for each of the combinations of DAY1 and DAY2, DAY2 and DAY3, and DAY1 and DAY3, the evaluation unit 68 can determine, for example, that the sleep quality on DAY3 is better than the sleep quality on both DAY1 and DAY2, and that the sleep quality on DAY1 and DAY2 is the same.

[0196] The evaluation unit 68 adds evaluation results 72 for each of the combination of DAY1 and DAY2, the combination of DAY2 and DAY3, and the combination of DAY1 and DAY3 to the relative evaluation table 546. Specifically, the evaluation unit 68 adds, for example, information indicating that the sleep quality on DAY3 is better than the sleep quality on both DAY1 and DAY2, and information indicating that the sleep quality on DAY1 and DAY2 is the same to the relative evaluation table 546. The evaluation unit 68 may also add parameter judgment results 71 for each of the combination of DAY1 and DAY2, the combination of DAY2 and DAY3, and the combination of DAY1 and DAY3 to the relative evaluation table 546.

[0197] In addition, the evaluation unit 68 may evaluate the sleep quality on a particular day (evaluation day) after obtaining evaluation results 72 of sleep quality on multiple days (e.g., evaluation results 72 on DAY 1, DAY 2, and DAY 3) using the accumulated sleep parameters 544.

[0198] FIG. 20 shows an example of a relative evaluation result of sleep quality between a plurality of days for which evaluation results 72 have been obtained and a specific day. The plurality of days for which evaluation results 72 have been obtained are also referred to as comparative days. Here, the comparative days are assumed to be the three days of DAY1, DAY2, and DAY3 described above. The sleep parameters 544 of DAY1, DAY2, and DAY3 are as shown in FIG. 17(a). Moreover, the sleep parameters 544 of the specific day are assumed to be the sleep parameters 544 of the evaluation day shown in FIG. 10.

[0199] In FIG. 20, parameter judgment results 71 and evaluation results 72 for each of the combinations of DAY1 and DAY2, DAY2 and DAY3, and DAY1 and DAY3 are obtained from, for example, the relative evaluation table 546.

[0200] The evaluation unit 68 determines which day has better sleep quality for each of the combinations of DAY 1 and the evaluation DAY, the combination of DAY 2 and the evaluation DAY, and the combination of DAY 3 and the evaluation DAY. That is, the evaluation unit 68 determines which day has better sleep quality for each of the combinations of DAY 1 and the evaluation DAY, the combination of DAY 2 and the evaluation DAY, and the combination of DAY 3 and the evaluation DAY.

[0201] The parameter judgment result 71 and the evaluation result 72 will be specifically explained for the combination of DAY1 and evaluation DAY (DAY1 x evaluation DAY).

[0202] The amount of activity per unit time on DAY1 (22.4) is greater than the amount of activity per unit time on the evaluation DAY (18.5). The lower the amount of activity per unit time, the better the quality of sleep. Therefore, the parameter determination result 71 of the amount of activity per unit time for the combination of DAY1 and the evaluation DAY indicates the evaluation DAY.

[0203] The average amount of activity when active on DAY1 (2.8) is greater than the average amount of activity when active on the evaluation day (2.7). The lower the average amount of activity when active, the better the quality of sleep. Therefore, the parameter determination result 71 of the average amount of activity when active for the combination of DAY1 and the evaluation day indicates the evaluation day.

[0204] The total sleep time on DAY1 (432 minutes) is within the standard range for total sleep time. The total sleep time on the evaluation day (494 minutes) is outside the standard range for total sleep time. As shown in FIG. 18, when infant 30 is 9 months old, the standard range for total sleep time is from 6 to 8 hours (i.e., from 360 to 480 minutes). Therefore, the parameter determination result 71 of the total sleep time for the combination of DAY1 and the evaluation day indicates DAY1.

[0205] The time to put to sleep on DAY 1 (38 minutes) is shorter than the time to put to sleep on the evaluation day (44 minutes). The shorter the time to put to sleep, the better the quality of sleep. Therefore, the parameter determination result 71 of the time to put to sleep for the combination of DAY 1 and the evaluation day indicates DAY 1.

[0206] The sleep start time on DAY1 (11:38 p.m.) is later than the sleep start time on the evaluation day (11:14 p.m.). The quality of sleep is better the earlier the sleep start time. Therefore, the parameter determination result 71 of the sleep start time for the combination of DAY1 and the evaluation day indicates the evaluation day.

[0207] The wake-up time on DAY1 (7:54) is later than the wake-up time on the evaluation DAY (7:28). The earlier the wake-up time, the better the quality of sleep. Therefore, the wake-up time parameter determination result 71 for the combination of DAY1 and the evaluation DAY indicates the evaluation DAY.

[0208] The number of awakenings on DAY1 (1) is greater than the number of awakenings on the evaluation DAY (0). The quality of sleep is better the fewer the number of awakenings. Therefore, the parameter determination result 71 of the number of awakenings for the combination of DAY1 and the evaluation DAY indicates the evaluation DAY.

[0209] The heart rate mode on DAY 1 (93) is lower than the heart rate mode on the evaluation day (106). The lower the heart rate mode, the better the quality of sleep. Therefore, the parameter determination result 71 of the heart rate mode for the combination of DAY 1 and the evaluation day indicates DAY 1.

[0210] According to the above eight parameter determination results 71, the number of sleep parameters 544 indicating better sleep quality on DAY 1 is 3, and the number of sleep parameters 544 indicating better sleep quality on the evaluation DAY is 5. Therefore, the evaluation result 72 of the sleep quality for the combination of DAY 1 and the evaluation DAY indicates the evaluation DAY.

[0211] Also, according to the evaluation by the same method, the evaluation result 72 of the sleep quality in the combination of DAY2 and the evaluation DAY indicates DAY2. The evaluation result 72 of the sleep quality in the combination of DAY3 and the evaluation DAY indicates DAY3.

[0212] Based on the evaluation results 72 in each of the above combinations of DAY1 and the evaluation DAY, DAY2 and the evaluation DAY, and DAY3 and the evaluation DAY, the evaluation unit 68 determines, for example, that the sleep quality of the evaluation DAY is better than that of DAY1 (DAY1 < evaluation DAY), and that the sleep quality of the evaluation DAY is worse than that of either DAY2 or DAY3 (evaluation DAY < DAY2, DAY3). The evaluation unit 68 may add the evaluation results 72 in each of the combinations of DAY1 and the evaluation DAY, DAY2 and the evaluation DAY, and DAY3 and the evaluation DAY to the relative evaluation table 546. Specifically, the evaluation unit 68 adds, for example, information indicating that the sleep quality of the evaluation DAY is better than that of DAY1 and information indicating that the sleep quality of the evaluation DAY is worse than that of either DAY2 or DAY3 to the relative evaluation table 546. Also, the evaluation unit 68 may add the parameter determination results 71 in each of the combinations of DAY1 and the evaluation DAY, DAY2 and the evaluation DAY, and DAY3 and the evaluation DAY to the relative evaluation table 546.

[0213] In addition, the evaluation results 72 for the combination of DAY1 and the evaluation DAY, the combination of DAY2 and the evaluation DAY, and the combination of DAY3 and the evaluation DAY do not indicate whether the sleep quality of DAY2 is better than that of DAY3. In such a case, the evaluation unit 68 acquires, for example, information indicating that the sleep quality of DAY3 is better than that of DAY2 from the relative evaluation table 546 (i.e., the evaluation result 72 of DAY2×DAY3 in FIG. 19). Using the acquired information, the evaluation unit 68 can determine that the sleep quality is better in the order of DAY3, DAY2, the evaluation DAY, and DAY1. In other words, the evaluation unit 68 can determine the order indicating the superiority or inferiority of the sleep quality of a specific day (evaluation DAY) compared to a plurality of comparison DAYs (here, DAY1, DAY2, and DAY3).

[0214] If the relative evaluation table 546 cannot be used to determine the relative quality of sleep in a combination of two days, the evaluation unit 68 may determine that the sleep qualities of the two days are the same. Alternatively, the evaluation unit 68 may determine the relative quality of sleep in the two days according to the priority order of the sleep parameters 544.

[0215] Fig. 21 shows an example of the priority order of sleep parameters 544 when determining the superiority or inferiority of sleep quality. In the example shown in Fig. 21, the highest priority order is sleep efficiency, deep sleep occupancy rate, REM sleep occupancy rate, activity amount per unit time, average activity amount when active, etc. The lowest priority order is the start time of putting the child to sleep (time of going to bed).

[0216] 22 shows an example of values ​​of a plurality of sleep parameters 544 for two days for which the quality of sleep is determined. Here, a plurality of sleep parameters 544 for DAY 2 and a plurality of sleep parameters 544 for DAY 3 are shown as examples.

[0217] Evaluator 68 identifies the sleep parameter 544 with the highest priority from among the plurality of sleep parameters 544 in accordance with the priorities of the sleep parameters 544 shown in Fig. 21. Specifically, evaluator 68 identifies the activity amount per unit time with the fourth priority from the plurality of sleep parameters 544 shown in Fig. 22. This is because sleep efficiency, deep sleep occupancy, and REM sleep occupancy, which have higher priorities, are not included in the plurality of sleep parameters 544 shown in Fig. 22.

[0218] Then, the evaluation unit 68 compares the amount of activity per unit time on DAY2 (25.6) with the amount of activity per unit time on DAY3 (22.0). The lower the amount of activity per unit time, the better the quality of sleep. Therefore, the evaluation unit 68 determines that the quality of sleep on DAY3 is better than the quality of sleep on DAY2. Based on this determination, the evaluation unit 68 can determine that the sleep quality is best in the order of DAY3, DAY2, the evaluation DAY, and DAY1. In other words, the evaluation unit 68 can determine an order indicating the superiority or inferiority of sleep quality between a plurality of comparison DAYs (here, DAY1, DAY2, and DAY3) and a specific day (evaluation DAY).

[0219] In addition, when the relative evaluation table 546 does not determine the superiority or inferiority of the sleep quality in a combination of two days, the evaluation unit 68 may further use information (manually input information) generated based on the operation of the information processing device 21 by the childcare worker 31. The manually input information includes, for example, at least one of whether or not the infant 30 takes a nap, the nap time, whether or not the infant is in poor health, whether or not the infant goes out on a daily basis, and whether or not the infant goes out on a non-daily basis. Examples of daily outings include walking and playing in the park. Examples of non-daily outings include special outings such as an event that the infant 30 experiences for the first time or a place that the infant visits for the first time. The evaluation unit 68 uses the manually input information to select a part of the sleep parameters 544 for the corresponding day, or to correct the value of the sleep parameters 544 for the corresponding day. A specific example will be described below.

[0220] For example, when infant 30 takes a nap and the nap time is acquired, evaluation unit 68 adds the nap time to the total sleep time included in sleep parameters 544 for the corresponding day. Then, evaluation unit 68 uses the total sleep time including the nap time to determine the quality of sleep.

[0221] If the infant 30 is taking a nap and the nap time has not been obtained, the evaluation unit 68 does not use the total sleep time included in the sleep parameters 544 for the corresponding day to determine whether the quality of sleep is good or bad.

[0222] If the person feels unwell, the evaluation unit 68 evaluates the quality of sleep on the corresponding day, but excludes it from comparison with other days.

[0223] When a routine outing has occurred, the evaluation unit 68 evaluates the sleep quality of the corresponding day by comparing it with other days when a routine outing has occurred. In other words, the evaluation unit 68 does not compare the sleep quality of a day when a routine outing has occurred with the sleep quality of a day when no outing has occurred or a day when an unusual outing has occurred.

[0224] When an unusual outing occurs, the evaluation unit 68 evaluates the quality of sleep on the corresponding day by comparing it with other days on which an unusual outing occurs. In other words, the evaluation unit 68 does not compare the quality of sleep on a day on which an unusual outing occurs with the quality of sleep on a day on which no outing occurs or a day on which an ordinary outing occurs.

[0225] If there was no outing (e.g., indoor play), the evaluation unit 68 evaluates the sleep quality of the corresponding day by comparing it with other days on which there was no outing. In other words, the evaluation unit 68 does not compare the sleep quality of the day on which there was no outing with the sleep quality of the day on which there was outing. In this way, the evaluation unit 68 may classify the multiple days on which the sleep quality is to be evaluated into categories related to outings and determine an order indicating superiority or inferiority of sleep quality within each category.

[0226] From the above, the evaluation unit 68 can determine an order of superiority / inferiority of sleep quality between a plurality of comparison DAYS (here, DAY1, DAY2, and DAY3) and a specific day (evaluation DAY). The evaluation unit 68 calculates an index indicating the relative sleep quality of the evaluation DAY based on the determined order of superiority / inferiority of sleep quality. Specifically, the evaluation unit 68 calculates the index of the evaluation DAY relatively by setting the index of the day with the worst sleep quality in the determined order of superiority / inferiority of sleep quality to 0 and the index of the day with the best sleep quality to 3. In this case, for example, an index of 0 or more and less than 1 indicates that the sleep quality of the corresponding day is poor. An index of 1 or more and less than 2 indicates that the sleep quality of the corresponding day is normal. An index of 2 or more and less than 3 indicates that the sleep quality of the corresponding day is good. The evaluation unit 68 can similarly calculate an index indicating the sleep quality of each day of the comparison DAY.

[0227] Next, the evaluation unit 68 sends the sleep evaluation information to the notification processing unit 61. The sleep evaluation information includes, for example, an index indicating the relative sleep quality of the evaluation day. Alternatively, the sleep evaluation information may include an index indicating the sleep quality of each of the evaluation day and the comparison day.

[0228] The notification processor 61 uses the sleep evaluation information received from the evaluation unit 68 to notify the child care provider 31 of the sleep quality of at least a specific day (evaluation day). The notification processor 61 may use the sleep evaluation information to notify the child care provider 31 of the sleep quality of the evaluation day and the sleep quality of multiple days (comparison days) compared to the evaluation day. Specifically, the notification processor 61 displays a graph or the like showing the order (relative relationship) of the sleep quality of the evaluation day and the comparison day on the touch screen display 53. Alternatively, the notification processor 61 may notify the child care provider 31 by displaying information indicating the relative quality of sleep quality between the evaluation day and the comparison day (for example, sleep quality is good, average, poor, etc.) on the touch screen display 53, outputting sound from the speaker 58, etc.

[0229] FIG. 23 shows an example of notification of sleep evaluation information. Here, the index of sleep quality on the evaluation DAY and the comparison DAY is notified by a bar graph. The bar graph showing a larger index value indicates a better sleep quality. As described above, for example, an index of 0 or more and less than 1 indicates poor sleep quality on the corresponding day. An index of 1 or more and less than 2 indicates normal sleep quality on the corresponding day. An index of 2 or more and less than 3 indicates good sleep quality on the corresponding day. Therefore, the child care provider 31 recognizes, for example, that the sleep quality on DAY2 is poor, that the sleep quality on DAY1 and the evaluation DAY is normal, and that the sleep quality on DAY3 is good. This allows the child care provider 31 to recognize the sleep quality of the infant 30 on the evaluation DAY in comparison with the comparison DAY, for example. Then, the child care provider 31 can take measures to improve the sleep quality of the infant 30 as necessary. Therefore, the sleep quality of the infant 30 can be improved.

[0230] The procedure of the process executed in information processing device 21 will be described with reference to Fig. 24 and Fig. 25. Note that the sleep parameter calculation process for analyzing data acquired by sensor 4 and calculating sleep parameters 544 for a particular day is as described above in the first embodiment with reference to Fig. 13.

[0231] 24 is a flowchart showing an example of the procedure of relative evaluation processing executed in information processing device 21. The relative evaluation processing is processing for determining which of all combinations of sleep on two days selected from sleep on the multiple days has better sleep quality, using multiple sleep parameters 544 corresponding to each of the sleep on the multiple days (i.e., multiple sleeps). Here, an example is shown in which CPU 51 of information processing device 21 executes the relative evaluation processing using calculated sleep parameters 544 for M days.

[0232] First, the CPU 51 sets a variable i to 1 (step S401). The variable i is used to identify one of M days. Any value from 1 to M is set to the variable i.

[0233] The CPU 51 reads out a plurality of sleep parameters 544 for the i-th day from the storage device 54 (step S402). The CPU 51 sets a variable j to (i+1) (step S403). Then, the CPU 51 determines whether the variable j is equal to or smaller than M (step S404).

[0234] If the variable j is equal to or smaller than M (Yes in step S404), the CPU 51 reads out the plurality of sleep parameters 544 for the jth day from the storage device 54 (step S405). The CPU 51 compares the plurality of sleep parameters 544 for the ith day with the plurality of sleep parameters 544 for the jth day (step S406). Specifically, the CPU 51 compares, for example, each of the plurality of sleep parameters 544 for the ith day with each of the plurality of sleep parameters 544 for the jth day to obtain the number of sleep parameters 544 indicating that the sleep on the ith day is better in quality than the sleep on the jth day (hereinafter referred to as the first parameter number) and the number of sleep parameters 544 indicating that the sleep on the jth day is better in quality than the sleep on the ith day (hereinafter referred to as the second parameter number).

[0235] Next, CPU 51 determines whether the quality of sleep on the i-th day is better than the quality of sleep on the j-th day based on a result of comparing the plurality of sleep parameters 544 on the i-th day with the plurality of sleep parameters 544 on the j-th day (step S407). For example, when the number of first parameters is greater than the number of second parameters, CPU 51 determines that the quality of sleep on the i-th day is better than the quality of sleep on the j-th day.

[0236] If the sleep quality on the i-th day is better than the sleep quality on the j-th day (Yes in step S407), CPU 51 adds information indicating that the sleep quality on the i-th day is better than the sleep quality on the j-th day to relative evaluation table 546 (step S408), and proceeds to step S412.

[0237] If the sleep quality on the i-th day is not better than the sleep quality on the j-th day (No in step S407), CPU 51 determines whether the sleep quality on the j-th day is better than the sleep quality on the i-th day based on a result of comparing multiple sleep parameters 544 on the i-th day with multiple sleep parameters 544 on the j-th day (step S409). For example, if the number of second parameters is greater than the number of first parameters, CPU 51 determines that the sleep quality on the j-th day is better than the sleep quality on the i-th day.

[0238] If the sleep quality on the jth day is better than the sleep quality on the ith day (Yes in step S409), the CPU 51 adds information indicating that the sleep quality on the jth day is better than the sleep quality on the ith day to the relative evaluation table 546 (step S410), and proceeds to step S412.

[0239] If the sleep quality on the jth day is not better than the sleep quality on the ith day (No in step S409), CPU 51 adds information indicating that the sleep quality on the ith day is the same as the sleep quality on the jth day to relative evaluation table 546 (step S411), and proceeds to step S412. In other words, if the sleep quality on the ith day is not better than the sleep quality on the jth day and the sleep quality on the jth day is not better than the sleep quality on the ith day, this is the case where the sleep quality on the ith day is the same as the sleep quality on the jth day. In this case, for example, the number of first parameters is equal to the number of second parameters.

[0240] Next, CPU 51 adds 1 to variable j (step S412) and returns to step S404. That is, if the new variable j is equal to or less than M, it performs a process of comparing sleep parameters 544 of the i-th day with new sleep parameters 544 of the j-th day to relatively evaluate the quality of sleep on the i-th day and the quality of sleep on the j-th day.

[0241] If the variable j is greater than M (No in step S404), the CPU 51 adds 1 to the variable i (step S413).The CPU 51 determines whether the variable i is equal to or smaller than (M-1) (step S414).

[0242] If the variable i is equal to or less than (M-1) (Yes in step S414), CPU 51 returns to step S402. That is, if the new variable i is equal to or less than (M-1), CPU 51 performs a process of comparing new sleep parameters 544 of the i-th day with sleep parameters 544 of the j-th day to relatively evaluate the quality of sleep on the i-th day and the quality of sleep on the j-th day.

[0243] If the variable i is greater than (M-1) (No in step S414), the CPU 51 ends the relative evaluation process.

[0244] Through the above relative evaluation process, the CPU 51 can determine which day has better quality of sleep for all combinations of sleep on two days selected from sleep on M days. In other words, the CPU 51 can determine which of the two days has better quality of sleep or whether the quality is the same for each of all combinations of sleep on two days selected from sleep on M days.

[0245] 25 is a flowchart showing an example of the procedure of evaluation and notification processing executed in the information processing device 21. The evaluation and notification processing is processing for evaluating the quality of sleep of the infant 30 on a specific day and notifying the child caregiver 31 of the sleep evaluation information. The specific day is a target day for evaluating the quality of sleep of the infant 30, for example, the most recent day on which the activity amount data 542 and vital data 543 were acquired. The CPU 51 executes the evaluation and notification processing, for example, at regular time intervals. Alternatively, the CPU 51 may execute the evaluation and notification processing in response to an operation on the information processing device 21 by the child caregiver 31.

[0246] Here, it is assumed that sleep parameters 544 for a specific day and sleep parameters 544 for M days other than the specific day are stored in storage device 54. It is also assumed that the quality of sleep on day M has already been evaluated by the relative evaluation process described above with reference to FIG.

[0247] First, the CPU 51 reads out a plurality of sleep parameters 544 for a specific day (step S501). The CPU 51 sets a variable k to 1 (step S502). The variable k is used to identify one of the M days. The variable k is set to any value from 1 to M.

[0248] Next, CPU 51 reads out the relatively evaluated sleep parameters 544 for the kth day from storage device 54 (step S503). CPU 51 compares the sleep parameters 544 for the specific day with the sleep parameters 544 for the kth day (step S504). Specifically, CPU 51 compares, for example, each of the sleep parameters 544 for the specific day with each of the sleep parameters 544 for the kth day to obtain the number of sleep parameters 544 indicating that the sleep on the specific day is better in quality than the sleep on the kth day (hereinafter referred to as the third parameter number) and the number of sleep parameters 544 indicating that the sleep on the kth day is better in quality than the sleep on the specific day (hereinafter referred to as the fourth parameter number).

[0249] Next, CPU 51 determines whether or not the sleep quality of the specific day is better than the sleep quality of the kth day based on a result of comparing the plurality of sleep parameters 544 of the specific day with the plurality of sleep parameters 544 of the kth day (step S505). For example, when the third parameter number is greater than the fourth parameter number, CPU 51 determines that the sleep quality of the specific day is better than the sleep quality of the kth day.

[0250] If the sleep quality on the particular day is better than the sleep quality on the kth day (Yes in step S505), the CPU 51 adds information indicating that the sleep quality on the particular day is better than the sleep quality on the kth day to the relative evaluation table 546 (step S506), and proceeds to step S510.

[0251] If the sleep quality on the specific day is not better than the sleep quality on the kth day (No in step S505), CPU 51 determines whether or not the sleep quality on the kth day is better than the sleep quality on the specific day based on a result of comparing the plurality of sleep parameters 544 on the specific day with the plurality of sleep parameters 544 on the kth day (step S507). For example, if the fourth parameter number is greater than the third parameter number, CPU 51 determines that the sleep quality on the kth day is better than the sleep quality on the specific day.

[0252] If the sleep quality on the kth day is better than the sleep quality on the specific day (Yes in step S507), the CPU 51 adds information indicating that the sleep quality on the kth day is better than the sleep quality on the specific day to the relative evaluation table 546 (step S508), and proceeds to step S510.

[0253] If the sleep quality on the kth day is not better than the sleep quality on the specific day (No in step S507), CPU 51 adds information indicating that the sleep quality on the specific day is the same as the sleep quality on the kth day to relative evaluation table 546 (step S509), and proceeds to step S510. In other words, if the sleep quality on the specific day is not better than the sleep quality on the kth day and the sleep quality on the kth day is not better than the sleep quality on the specific day, then the sleep quality on the specific day is the same as the sleep quality on the kth day. In this case, for example, the third parameter number is equal to the fourth parameter number.

[0254] Next, the CPU 51 adds 1 to the variable k (step S510). The CPU 51 determines whether the variable k is equal to or smaller than M (step S511).

[0255] If the variable k is equal to or less than M (Yes in step S511), the CPU 51 returns to step S503. That is, the CPU 51 performs a process of comparing the sleep parameters 544 of the specific day with the new sleep parameters 544 of the kth day, and relatively evaluating the quality of sleep on the specific day and the quality of sleep on the kth day.

[0256] If the variable k is greater than M (No in step S511), the process of determining which of the sleep quality of the specific day and the sleep quality of the M days is better has been completed, and the CPU 51 generates sleep evaluation information related to the sleep on the specific day based on the relative evaluation table 546 (step S512). The sleep evaluation information includes, for example, an index indicating the relative quality of sleep on the specific day. The sleep evaluation information may include information indicating the relative quality of sleep on the specific day (for example, sleep quality is good, normal, poor, etc.). Alternatively, the sleep evaluation information may include information indicating the relationship between the relative quality of sleep on the specific day and at least one of the M days. The CPU 51 then notifies the child care provider 31 of the sleep evaluation information (step S513) and ends the evaluation and notification process. The CPU 51 may notify the child care provider 31 of the relationship between the relative quality of sleep on the specific day and at least one of the M days using a graph or the like.

[0257] Through the above evaluation and notification process, the CPU 51 can notify the caregiver 31 of the sleep quality of the infant 30 on a particular day. Based on this notification, the caregiver 31 can recognize the sleep quality of the infant 30 and can take measures to improve the sleep quality as necessary. This makes it possible to improve the sleep quality of the infant 30.

[0258] Third embodiment In the sleep evaluation system 1A according to the first and second embodiments, an information processing device 21 used by a child care provider 31 evaluates the sleep quality of an infant 30. In contrast, in the sleep evaluation system according to the third embodiment, a server device evaluates the sleep quality of an infant 30.

[0259] In the sleep evaluation system according to the third embodiment, a server device has at least a part of the functions of the information processing device 21 in the first or second embodiment. Specifically, the server device has a function of evaluating the quality of sleep of an infant 30 and generating sleep evaluation information. Below, differences from the first and second embodiments will be mainly described.

[0260] 26 shows an example of the configuration of a sleep evaluation system 1B according to Embodiment 3. The sleep evaluation system 1B includes an information processing device 21, a plurality of sensors 4, a server device 25, and a network .

[0261] Each of the multiple sensors 4 can communicate with the server device 25 via the network 26. Specifically, each of the multiple sensors 4 transmits, for example, data acquired by the sensor 4 (sensor data) to the server device 25 via the network 26. Note that the multiple sensors 4 may transmit the sensor data to the information processing device 21, and the information processing device 21 may transfer the sensor data to the server device 25. The sensor data includes activity amount data 542 generated by the activity amount sensor 41 and vital data 543 acquired by the vital sensor 42. The sensor data may further include moving image data generated by the imaging device 43.

[0262] The communication via the network 26 may be wired communication or wireless communication. The network 26 includes, for example, a wired local area network (wired LAN), a wireless local area network (wireless LAN), and a wide area network (WAN). The WAN includes, for example, a mobile phone network, a fixed telephone network, a satellite communication network, a leased line, an Asynchronous Transfer Mode (ATM), and an Internet Protocol-Virtual Private Network (IP-VPN).

[0263] The server device 25 is an information processing device that analyzes data related to the infant 30 and provides information (sleep evaluation information) indicating the evaluation results of the sleep of the infant 30. The server device 25 is realized, for example, as a server computer.

[0264] For example, the server device 25 receives the sensor data from each of the multiple sensors 4 via the network 26. Alternatively, the server device 25 may receive the sensor data from each of the multiple sensors 4 via the information processing device 21 and the network 26.

[0265] Furthermore, the server device 25 can communicate with, for example, the information processing device 21 via the network 26. Specifically, the server device 25 receives, for example, behavior data 541 from the information processing device 21 via the network 26. Furthermore, the server device 25 transmits sleep evaluation information to the information processing device 21 via the network 26. The server device 25 has a configuration similar to that of the information processing device 21 of the first embodiment described above with reference to FIG. 2 or the information processing device 21 of the second embodiment described above with reference to FIG. 15, for example, in order to provide sleep evaluation information by analyzing the behavior data 541 and the sensor data.

[0266] The information processing device 21 transmits the behavior data 541 to the server device 25 via the network 26. The configuration for generating the behavior data 541 is similar to the notification processing unit 61 and the generation processing unit 62 provided in the information processing device 21 of the first embodiment described above with reference to Fig. 3. The information processing device 21 transmits the behavior data 541 to the server device 25 by, for example, the first communication unit 55.

[0267] Furthermore, the information processing device 21 receives sleep evaluation information from the server device 25 via the network 26. The information processing device 21 receives sleep support information from the server device 25, for example, by the first communication unit 55. The information processing device 21 notifies the received sleep evaluation information to the child care provider 31. The information processing device 21 has a configuration for receiving sleep evaluation information and notifying the child care provider 31 of the sleep evaluation information. The configuration for notifying the child care provider 31 of the sleep evaluation information is similar to the notification processing unit 61 provided in the information processing device 21 of the first embodiment described above with reference to FIG. 3, or the notification processing unit 61 provided in the information processing device 21 of the second embodiment described above with reference to FIG. 16.

[0268] With the above configuration, in the sleep evaluation system 1B of the third embodiment, the server device 25 acquires behavior data 541 from the information processing device 21, acquires sensor data from the multiple sensors 4, and provides sleep evaluation information to the information processing device 21 using the acquired behavior data 541 and sensor data. Note that the server device 25 may have not only a function for providing sleep evaluation information, but also other functions of the information processing device 21 of the first or second embodiment. For example, the server device 25 may have a function for processing feedback based on operations performed on the information processing device 21 by the child care provider 31.

[0269] In carrying out the present invention, the above-described embodiment is merely an example, and specific aspects can be modified in various ways. The following supplementary notes are further disclosed regarding the above-described embodiment of the present invention. <1> A sleep evaluation system including an information processing device and a plurality of sensors, the plurality of sensors includes at least one of a first sensor and a second sensor; The first sensor measures activity amount data indicating an activity amount of the subject, The second sensor measures vital data indicating a vital sign of the subject; The information processing device includes: A generation unit that generates behavior data indicating a behavior of the subject in response to an operation of the information processing device by a user; A determination unit that determines L sleep periods of the subject having good quality sleep using the behavior data; a calculation unit that calculates a plurality of sleep parameters for each of the L sleep episodes using at least one of the activity amount data and the vital data corresponding to each of the L sleep episodes; and an analysis unit that uses the plurality of sleep parameters of each of the L sleep episodes to determine a value range of each of the plurality of sleep parameters when the quality of the subject's sleep is good; The L is an integer of 1 or more. Sleep rating system. <2> The calculation unit further calculates a plurality of sleep parameters of a specific sleep of the subject using at least one of the activity amount data and the vital data corresponding to the specific sleep of the subject; The information processing device includes: The method further includes an evaluation unit that evaluates the quality of the specific sleep using the plurality of sleep parameters of the specific sleep and the range. <1> A sleep evaluation system according to claim 1. <3> The information processing device includes: The method further includes a notification processing unit that notifies the user of information indicating the evaluated quality of the specific sleep. <2> A sleep evaluation system according to claim 1. <4> The calculation unit further calculates a plurality of sleep parameters for each of the M sleeps using at least one of the activity amount data and the vital data corresponding to each of the M sleeps; The information processing device includes: An evaluation unit that evaluates the quality of each of the M sleeps using the plurality of sleep parameters and the range of each of the M sleeps, The M is an integer of 2 or more. <1> A sleep evaluation system according to claim 1. <5> The information processing device includes: Further, a notification processing unit is provided that notifies the user of information indicating the quality of each of the M sleeps evaluated. <4> A sleep evaluation system according to claim 1. <6> The notification processing unit displays a graph showing the evaluated quality of the M sleeps on a screen of the information processing device. <5> A sleep evaluation system according to claim 1. <7> The calculation unit is Calculating a first plurality of sleep parameters in the first sleep by using at least one of the activity data in the first sleep by the subject and the vital data in the first sleep; calculating a second plurality of sleep parameters in the first sleep using at least one of the activity data in the second sleep by the subject and the vital data in the second sleep; The information processing device includes: comparing each of the first plurality of sleep parameters with each of the second plurality of sleep parameters to obtain a first number of sleep parameters indicating that the first sleep is of better quality than the second sleep and a second number of sleep parameters indicating that the second sleep is of better quality than the first sleep; Further comprising an evaluation unit that determines whether the quality of the first sleep or the quality of the second sleep is better based on the first number and the second number. <1> A sleep evaluation system according to claim 1. <8> The evaluation unit is if the first number is greater than the second number, determining that the first sleep is of better quality than the second sleep; If the second number is greater than the first number, determining that the second sleep is of better quality than the first sleep. <7> A sleep evaluation system according to claim 1. <9> The information processing device includes: if the first sleep is determined to be of better quality than the second sleep, notifying the user that the first sleep is of better quality than the second sleep; and a notification processing unit configured to notify the user that the second sleep is of better quality than the first sleep when it is determined that the second sleep is of better quality than the first sleep. <7> or <8> A sleep evaluation system according to claim 1. <10> The calculation unit further calculates a plurality of sleep parameters for each of the M sleeps using at least one of the activity amount data and the vital data corresponding to each of the M sleeps; The information processing device includes: obtain, from the plurality of sleep parameters of each of the M sleeps, a third plurality of sleep parameters for an arbitrary third sleep among the M sleeps and a fourth plurality of sleep parameters for an arbitrary fourth sleep different from the third sleep among the M sleeps; compare each of the third plurality of sleep parameters with each of the fourth plurality of sleep parameters to obtain a third number of sleep parameters indicating that the third sleep has a better quality of sleep for the subject than the fourth sleep and a fourth number of sleep parameters indicating that the fourth sleep has a better quality of sleep for the subject than the third sleep, and perform a process of determining which of the third sleep and the fourth sleep has better quality based on the third number and the fourth number for all combinations of two sleeps selected from the M sleeps; Further comprising an evaluation unit that determines an order of the M sleep quality based on the results of the processing in all the combinations; The M is an integer of 2 or more. <1> A sleep evaluation system according to claim 1. <11> The evaluation unit is if the third number is greater than the fourth number, determining that the third sleep is of better quality than the fourth sleep; If the fourth number is greater than the third number, determining that the fourth sleep is of better quality than the third sleep. <10> A sleep evaluation system according to claim 1. <12> The information processing device further includes a notification processing unit that notifies the user of the determined order of the M sleep qualities. <10> or <11> A sleep evaluation system according to claim 1. <13> The plurality of sleep parameters include at least one of the subject's sleep latency, sleep onset time, wake-up time, total sleep time, wake-up time, number of wake-ups, activity amount per unit time, average activity amount during activity, deep sleep occupancy rate, REM sleep occupancy rate, sleep efficiency, heart rate, heart rate variability, respiratory rate per unit time, and peripheral skin temperature. <1> ~ <12> 2. A sleep evaluation system according to claim 1 . <14> The first sensor and the second sensor are an integrated sensor device. <1> ~ <13> 2. A sleep evaluation system according to claim 1 . <15> A sleep evaluation system including an information processing device and a plurality of sensors, the plurality of sensors includes at least one of a first sensor and a second sensor; The first sensor measures activity amount data indicating an activity amount of the subject, The second sensor measures vital data indicating a vital sign of the subject; The information processing device includes: a calculation unit that calculates a plurality of sleep parameters for each of the M sleeps using at least one of the activity amount data and the vital data corresponding to each of the M sleeps; obtain a first plurality of sleep parameters in a first sleep and a second plurality of sleep parameters in a second sleep from the plurality of sleep parameters of each of the M sleeps, compare each of the first plurality of sleep parameters with each of the second plurality of sleep parameters to obtain a first number of sleep parameters indicating that the first sleep has a better quality of sleep for the subject than the second sleep and a second number of sleep parameters indicating that the second sleep has a better quality of sleep for the subject than the first sleep, and perform a process of determining which of the first sleep and the second sleep has better quality based on the first number and the second number for all combinations of two sleeps selected from the M sleeps; Further comprising an evaluation unit that determines an order of the M sleep quality based on the results of the processing in all the combinations; The M is an integer of 2 or more. Sleep rating system. <16> The evaluation unit is if the first number is greater than the second number, determining that the first sleep is of better quality than the second sleep; If the second number is greater than the first number, determining that the second sleep is of better quality than the first sleep. <15> A sleep evaluation system according to claim 1. <17> The information processing device further includes a notification processing unit that notifies the user of the determined order of the M sleep qualities. <15> or <16> A sleep evaluation system according to claim 1. <18> The plurality of sleep parameters include at least one of the subject's sleep latency, sleep onset time, wake-up time, total sleep time, wake-up time, number of wake-ups, activity amount per unit time, average activity amount during activity, deep sleep occupancy rate, REM sleep occupancy rate, sleep efficiency, heart rate, heart rate variability, respiratory rate per unit time, and peripheral skin temperature. <15> ~ <17> 2. A sleep evaluation system according to claim 1 . <19> The first sensor and the second sensor are an integrated sensor device. <15> ~ <18> 2. A sleep evaluation system according to claim 1 . <20> The subject is an infant, The user is a parent of the infant. <1> ~ <19> 2. A sleep evaluation system according to claim 1 . <21> An information processing device capable of acquiring data from a plurality of sensors, the plurality of sensors includes at least one of a first sensor and a second sensor; The first sensor measures activity amount data indicating an activity amount of the subject, The second sensor measures vital data indicating a vital sign of the subject; The information processing device includes: A generation unit that generates behavior data indicating a behavior of the subject in response to an operation of the information processing device by a user; A determination unit that determines L sleep periods of the subject having good quality sleep using the behavior data; a calculation unit that calculates a plurality of sleep parameters for each of the L sleep episodes using at least one of the activity amount data and the vital data corresponding to each of the L sleep episodes; and an analysis unit that uses the plurality of sleep parameters of each of the L sleep episodes to determine a value range of each of the plurality of sleep parameters when the quality of the subject's sleep is good; The L is an integer of 1 or more. Information processing device. <22> A sleep evaluation method for controlling an information processing device capable of acquiring data from a plurality of sensors, comprising: the plurality of sensors includes at least one of a first sensor and a second sensor; The first sensor measures activity amount data indicating an activity amount of the subject, The second sensor measures vital data indicating a vital sign of the subject; The sleep evaluation method includes: generating behavior data indicating a behavior of the subject person in response to an operation of the information processing device by a user using a generation unit of the information processing device; A determination unit of the information processing device determines L sleep periods in which the subject has good sleep quality using the behavior data; A calculation unit of the information processing device calculates a plurality of sleep parameters for each of the L sleep episodes using at least one of the activity amount data and the vital data corresponding to each of the L sleep episodes; determining a value range of each of the plurality of sleep parameters when the quality of the subject's sleep is good, using the plurality of sleep parameters for each of the L sleep episodes by an analysis unit of the information processing device; The L is an integer of 1 or more. Sleep assessment methods. [Explanation of symbols]

[0270] 1A Sleep Evaluation System 21 Information processing equipment 30 Infants 31 Parents 4 Sensors 41 Activity Sensor 42 Vital Sensor 43 Imaging Device 51 CPU 52 RAM 53 Touchscreen Display 54 Storage device 55 First Communications Department 56 2nd Communications Department 57 Vibration section 58 Speaker 521 OS 522 Sleep Assessment Program 541 Behavioral Data 542 Activity Data 543 Vital Data 544 Sleep parameters 545 Reference Range Table 546 Relative Evaluation Table 61 Notification processing section 62 Generation processing section 63 Receiving processing unit 64 Storage processing unit 65 Judgment section 66 Sleep parameter calculation unit 67 Analysis Department 68 Evaluation Department 1B Sleep Evaluation System 25 Server equipment 26 Network

Claims

1. A sleep evaluation system including an information processing device and multiple sensors, The plurality of sensors include at least one of a first sensor and a second sensor. The first sensor measures activity data indicating the activity level of the subject, The second sensor measures vital data indicating the vital signs of the subject, The aforementioned information processing device is A generation unit that generates behavioral data indicating the behavior of the subject in response to the user's operation on the information processing device, A determination unit that uses the aforementioned behavioral data to determine the L number of sleep cycles in which the subject has good sleep quality, A calculation unit that calculates multiple sleep parameters for each of the L sleep periods using at least one of the activity data and vital data corresponding to each of the L sleep periods, The system comprises an analysis unit that uses the plurality of sleep parameters for each of the L sleep cycles to determine the range of values ​​for each of the plurality of sleep parameters when the subject's sleep quality is good, The aforementioned L is an integer greater than or equal to 1. Sleep evaluation system.

2. The calculation unit further calculates a plurality of sleep parameters for the specific sleep period of the subject using at least one of the activity data and vital data corresponding to the specific sleep period of the subject. The aforementioned information processing device is The system further comprises an evaluation unit that evaluates the quality of the specific sleep using the plurality of sleep parameters and the range of the specific sleep, The sleep evaluation system according to claim 1.

3. The aforementioned information processing device is The system further comprises a notification processing unit that notifies the user of information indicating the evaluated specific sleep quality. The sleep evaluation system according to claim 2.

4. The calculation unit further calculates multiple sleep parameters for each of the M sleep periods using at least one of the activity data and vital data corresponding to each of the M sleep periods. The aforementioned information processing device is The system further comprises an evaluation unit that evaluates the quality of each of the M sleep periods using the plurality of sleep parameters and the range for each of the M sleep periods. The aforementioned M is an integer greater than or equal to 2. The sleep evaluation system according to claim 1.

5. The aforementioned information processing device is The system further comprises a notification processing unit that notifies the user of information indicating the quality of each of the M evaluated sleep cycles. The sleep evaluation system according to claim 4.

6. The notification processing unit displays a graph showing the quality of the M evaluated sleep cycles on the screen of the information processing unit. The sleep evaluation system according to claim 5.

7. The calculation unit described above, Using at least one of the activity data for the first sleep period and the vital data for the first sleep period of the subject, a first set of sleep parameters for the first sleep period is calculated. Using at least one of the activity data for the second sleep period and the vital data for the second sleep period of the subject, a second set of sleep parameters for the second sleep period is calculated. The aforementioned information processing device is By comparing each of the first plurality of sleep parameters with each of the second plurality of sleep parameters, a first number of sleep parameters indicating that the first sleep is of better quality than the second sleep is obtained, and a second number of sleep parameters indicating that the second sleep is of better quality than the first sleep. The sleep evaluation system according to claim 1, further comprising an evaluation unit that determines which of the first sleep or the second sleep is of better quality based on the first number and the second number.

8. The evaluation unit, If the first number is greater than the second number, it is determined that the first sleep is of better quality than the second sleep. The sleep evaluation system according to claim 7, wherein if the second number is greater than the first number, it is determined that the second sleep is of better quality than the first sleep.

9. The aforementioned information processing device is If it is determined that the first sleep is of better quality than the second sleep, the user is notified that the first sleep is of better quality than the second sleep. If it is determined that the second sleep is of better quality than the first sleep, the system further comprises a notification processing unit that notifies the user that the second sleep is of better quality than the first sleep. The sleep evaluation system according to claim 7 or claim 8.

10. The calculation unit further calculates multiple sleep parameters for each of the M sleep periods using at least one of the activity data and vital data corresponding to each of the M sleep periods. The aforementioned information processing device is From the plurality of sleep parameters of each of the M sleeps, a third plurality of sleep parameters for any third sleep among the M sleeps and a fourth plurality of sleep parameters for any fourth sleep among the M sleeps that is different from the third sleep are obtained, and each of the third plurality of sleep parameters is compared with each of the fourth plurality of sleep parameters to obtain a third number of sleep parameters indicating that the third sleep is of better quality than the fourth sleep for the subject, and a fourth number of sleep parameters indicating that the fourth sleep is of better quality than the third sleep for the subject, and this process of determining which of the third sleep and the fourth sleep is of better quality is performed for all combinations of two sleeps selected from the M sleeps. The system further comprises an evaluation unit that determines the order of the quality of the M sleep cycles based on the results of the processing in all the aforementioned combinations. The aforementioned M is an integer greater than or equal to 2. The sleep evaluation system according to claim 1.

11. The evaluation unit, If the third number is greater than the fourth number, it is determined that the third sleep is of better quality than the fourth sleep. If the fourth number is greater than the third number, it is determined that the fourth sleep is of better quality than the third sleep. The sleep evaluation system according to claim 10.

12. The information processing device further comprises a notification processing unit that notifies the user of the determined order of the quality of the M sleep cycles. The sleep evaluation system according to claim 10 or claim 11.

13. The aforementioned multiple sleep parameters include at least one of the subject's sleep latency, time of falling asleep, time of waking up, total sleep duration, duration of awakenings during the night, number of awakenings during the night, activity level per unit time, average activity level when active, deep sleep occupancy, REM sleep occupancy, sleep efficiency, heart rate, heart rate variability, respiratory rate per unit time, and peripheral skin temperature. A sleep evaluation system according to any one of claims 1 to 8, 10, and 11.

14. The first sensor and the second sensor are an integrated sensor device. A sleep evaluation system according to any one of claims 1 to 8, 10, and 11.

15. An information processing device capable of acquiring data from multiple sensors, The plurality of sensors include at least one of a first sensor and a second sensor. The first sensor measures activity data indicating the activity level of the subject, The second sensor measures vital data indicating the vital signs of the subject, The aforementioned information processing device is A generation unit that generates behavioral data indicating the behavior of the subject in response to the user's operation on the information processing device, A determination unit that uses the aforementioned behavioral data to determine the L number of sleep cycles in which the subject has good sleep quality, A calculation unit that calculates multiple sleep parameters for each of the L sleep periods using at least one of the activity data and vital data corresponding to each of the L sleep periods, The system comprises an analysis unit that uses the plurality of sleep parameters for each of the L sleep cycles to determine the range of values ​​for each of the plurality of sleep parameters when the subject's sleep quality is good, The aforementioned L is an integer greater than or equal to 1. Information processing device.

16. A sleep evaluation method for controlling an information processing device capable of acquiring data from multiple sensors, The plurality of sensors include at least one of a first sensor and a second sensor. The first sensor measures activity data indicating the activity level of the subject, The second sensor measures vital data indicating the vital signs of the subject, The aforementioned sleep evaluation method is The generation unit of the information processing device generates behavioral data indicating the behavior of the subject in response to the user's operation of the information processing device. The determination unit of the information processing device uses the behavioral data to determine L sleep cycles in which the subject has good sleep quality. The calculation unit of the information processing device calculates a plurality of sleep parameters for each of the L sleep periods using at least one of the activity data and vital data corresponding to each of the L sleep periods. The analysis unit of the information processing device determines the range of values ​​for each of the multiple sleep parameters when the subject's sleep quality is good, using the multiple sleep parameters for each of the L sleep cycles. The aforementioned L is an integer greater than or equal to 1. Sleep evaluation methods.

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