JP6641963B2 - Sleep state determination system, sleep state determination device, sleep state determination method, and sleep state determination program - Google Patents

Description

  The technology described in this specification relates to a sleep state determination system, a sleep state determination device, a sleep state determination method, and a sleep state determination program.

  Attaching an activity meter to a human body, for example, determining (or estimating) a daily sleep state of the human body based on data measured by the activity meter (may be referred to as “activity amount data”). Is attempted.

JP 2008-181289 A JP 2009-181476 A

  However, for example, when the user of the activity meter works in a shift system (or a shift system; the same applies hereinafter), the work of the user (may be referred to as a subject or a subject). Since the time zone varies from day to day, the sleep time zone also varies from day to day (in other words, irregular). The working hours are examples of the user's "active hours", and the sleeping hours are examples of the user's "inactive hours".

  If the sleep time zone is irregular, the time zone for determining the sleep state based on the activity amount data may be inappropriate, and erroneous determination may occur. For example, an erroneous determination may occur as if sleep time is present in an activity time zone (eg, a work time zone) where the user should not be sleeping.

  In one aspect, one of the objects of the technology described in the present specification is to suppress erroneous determination as to whether or not sleep time exists in the activity time period of the subject.

In one aspect, the sleep state determination system may include an activity meter that measures the amount of activity of the subject and an information processing device. The information processing device may include a storage unit and a processing unit. The storage unit may store the schedule information of the subject. The processing unit acquires the activity amount data measured by the activity meter, and based on the acquired activity amount data and the schedule information stored in the storage unit, relates to the sleep of the subject. The state may be determined. Further, the processing unit is a case where the acquired activity amount data indicates an inactive state, and in a case where the subject's schedule information indicates an inactive state, the subject is in a sleeping state. Even if the acquired activity amount data indicates an inactive state, if the subject's schedule information indicates an active state, it is determined that the subject is not in a sleeping state. May do it.

In one aspect, the sleep state determination device may include a storage unit and a processing unit. The storage unit may store schedule information of the subject whose activity is measured by the activity meter. The processing unit acquires the activity amount data measured by the activity meter, and based on the acquired activity amount data and the schedule information stored in the storage unit, relates to the sleep of the subject. The state may be determined. Further, the processing unit is a case where the acquired activity amount data indicates an inactive state, and in a case where the subject's schedule information indicates an inactive state, the subject is in a sleeping state. Even if the acquired activity amount data indicates an inactive state, if the subject's schedule information indicates an active state, it is determined that the subject is not in a sleeping state. May do it.

Further, in one aspect, the sleep state determining method, an information processing apparatus, Tokushi preparative activity data measured by the activity meter for measuring the activity amount of the observer, before and SL obtained activity data And the sleep state of the subject may be determined based on the schedule information of the subject stored in the storage unit. Further, in the case where the information processing apparatus has the acquired activity amount data indicating an inactive state, and the schedule information of the observer indicates an inactive state, the observer is in a sleeping state. Is determined, and even if the acquired activity amount data indicates an inactive state, if the subject's schedule information indicates an active state, the subject is not in a sleeping state. May be determined.

In one aspect, the sleep state determination program acquires activity data measured by an activity meter that measures the activity of the subject, and stores the acquired activity data and a storage unit. Based on the schedule information of the observer, based on the sleep state of the observer is determined , wherein the acquired activity amount data indicates an inactive state, schedule information of the observer When indicates the inactive state, the subject is determined to be in a sleeping state, and even when the acquired activity amount data indicates an inactive state, the schedule of the subject is When the information indicates the activity state, the computer may execute a process of determining that the subject is not in a sleeping state .

  One aspect is to suppress erroneous determination as to whether or not sleep time exists in the activity time zone of the subject.

It is a block diagram showing the example of composition of the information processing system concerning one embodiment. FIG. 2 is a diagram illustrating an example of a schedule database (DB) stored in the information processing apparatus illustrated in FIG. 1. FIG. 2 is a diagram illustrating an example of a work mode (work schedule) of a user to which the activity meter illustrated in FIG. 1 is attached. FIG. 4 is a diagram illustrating an example of a tendency regarding work and sleep according to the work mode illustrated in FIG. 3. It is a figure explaining an example of the work style of the shift system concerning one embodiment. FIG. 2 is a block diagram illustrating a configuration example focusing on the activity meter illustrated in FIG. 1. (A) and (B) are diagrams illustrating an example of activity amount data obtained by the activity meter illustrated in FIG. 1. 3 is a flowchart illustrating an operation example (first embodiment) of the information processing apparatus illustrated in FIGS. 1 and 2. 5 is a flowchart illustrating an operation example (second embodiment) of the information processing apparatus illustrated in FIGS. 1 and 2. 5 is a flowchart illustrating an operation example (third embodiment) of the information processing apparatus illustrated in FIGS. 1 and 2.

  Hereinafter, embodiments will be described with reference to the drawings. However, the embodiment described below is merely an example, and there is no intention to exclude various modifications and application of technology not explicitly described below. Further, various exemplary embodiments described below may be appropriately combined and implemented. In the drawings used in the following embodiments, the same reference numerals denote the same or similar parts unless otherwise specified.

  FIG. 1 is a block diagram illustrating a configuration example of an information processing system according to an embodiment. The information processing system 10 illustrated in FIG. 1 may include, for example, an information processing device 1 and an activity meter 2.

  The activity meter 2 may be exemplarily attached to a human body and measure the activity amount of the human body. The person to which the activity meter 2 is attached is an example of a measurement target of the activity meter 2, and may be referred to as a "user", "observed person", or "subject".

  There may be a plurality of users, and the activity meter 2 may be attached to each of the plurality of users. Alternatively, the activity meter 2 may be shared by some or all of a plurality of persons. When one activity meter 2 is shared by a plurality of persons, the activity meter 2 may store the measurement result in a memory or the like for each of the plurality of persons.

  The activity meter 2 may be referred to as “life coder 2”. An example of the configuration of the activity meter 2 will be described later with reference to FIG. The measurement items of the activity meter 2 may include any one or more of the number of steps, the walking or running distance, the calorie consumption, the activity intensity, the exercise amount, and the fat burning amount.

  “Activity intensity” may be represented by a METs value that is an example of an index of exercise intensity. “METs” is an abbreviation for “Metabolic equivalents”, and is a numerical value that represents the metabolic rate during human activity (or “calorie consumption”) as a relative value (for example, a multiple) to the metabolic rate at rest. A table in which METs values are associated with different physical activities of a person is referred to as a “METs table” and is issued, for example, by the National Institute of Health and Nutrition.

  The activity amount data, which is the measurement result of the activity meter 2, may be input to the information processing device 1 as appropriate. Exemplarily, the activity meter 2 may communicate with the information processing device 1 and input a measurement result to the information processing device 1. The communication between the activity meter 2 and the information processing device 1 may be a wired communication or a wireless communication.

  The information processing device 1 is based on the measurement result of the activity amount by the activity meter 2 and may be in a state related to the user's sleep (may be abbreviated as “sleep state”), for example, in a sleeping state or in an active state. The state may be determined (or estimated).

  Therefore, the information processing device 1 and the information processing system 10 may be referred to as “sleep state determination device 1” and “sleep state determination system 10”, respectively, for convenience.

  The sleep state determination device 1 may be realized using a general-purpose personal computer (PC) or a server computer (may be simply referred to as a “server”). The PC may be a desktop PC or a notebook PC (or laptop PC). The server computer may be a cloud server installed in a data center or the like.

  The functions and processes (or algorithms) as the sleep state determination device 1 may be realized by a single PC or server, or may be realized by distributed processing of a plurality of PCs or servers.

  The sleep state determination device 1 may be used, for example, by a company, an organization, an institution, or the like as a user to manage the health of workers such as employees, staff, and members. For example, the sleep state determination device 1 may be used by attaching the activity meter 2 to a worker and allowing the user to grasp and manage the sleep time and sleep state of the worker.

  Examples of “workers” include persons working in transportation such as railways, buses, and aircraft (for example, train drivers and conductors, bus drivers and crews, aircraft pilots and cabin crews, etc.), and medical institutions. These include doctors and nurses, security guards at police companies, police at police stations, and firefighters at fire departments.

  The “worker” exemplified here is a person who performs duties related to safety and security, and as described later, is not limited to a person to whom an unusual work form such as a 2 to 4 shift system is applied. This is a typical example.

(Configuration Example of Information Processing Apparatus 1)
As illustrated in FIG. 1, the information processing apparatus 1 may include, for example, a processor 11, a memory 12, a storage device 13, and a communication interface (IF) 14.

  The processor 11, the memory 12, the storage device 13, and the communication IF 14 may be, for example, connected to a communication bus 15 and can communicate with each other via the processor 11.

  The processor 11 is an example of a processing unit or an arithmetic processing device having an arithmetic capability. As the processor 11, for example, an integrated circuit (IC) such as a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or a DSP (Digital Signal Processor) may be applied. An arithmetic processing device having an arithmetic capability may be referred to as a “computer”.

  The memory 12 is an example of a memory that stores various data and programs. For example, a RAM (Random Access Memory) may be applied to the memory 12. The memory 12 may include a RAM and a ROM (Read Only Memory). “Program” may be referred to as “software” or “application”.

  The memory 12 may be used, for example, as a work memory of the processor 11. For example, data or a program stored in the ROM or the storage device 13 may be expanded in the work memory 12 and used for the arithmetic processing of the processor 11.

  The storage device 13 stores various data and programs, for example. As a non-limiting example, one or both of a hard disk drive (HDD) and a solid state drive (SSD) may be applied to the storage device 13.

  The storage device 13 may store a program that executes a sleep state determination process described below (may be referred to as a “sleep state determination program” for convenience). Note that all or a part of the program code constituting the sleep state determination program may be stored in the ROM, or may be described as a part of the operating system (OS) of the information processing device 1.

  The information or data stored in the storage device 13 includes activity amount data received from the activity meter 2 (may be referred to as “acquisition”) and schedule information for each user of the activity meter 2. May be included. An example of the activity data stored in the storage device 13 will be described later together with the description of the configuration example of the activity meter 2.

  The schedule information for each user may be converted into a database (DB) in the storage device 13. The schedule information DB may be referred to as “schedule DB” for convenience.

  For example, as shown in FIG. 2, identification information (ID) assigned to each activity meter 2 and schedule information of a user to whom the activity meter 2 is attached are registered in the schedule DB in association with each other. May be.

  The ID may be referred to as “activity meter ID” or “sensor ID” for convenience. In the case where one activity meter 2 is shared by a plurality of users, information for identifying each of the plurality of users (for convenience, “user ID ") may be used. The user ID may be input and set in the activity meter 2 by the user.

  One non-limiting example of the schedule information is information representing a user's daily work schedule (may be referred to as “work schedule information”). The work schedule may be represented, for example, in a form in which a work time zone and a non-work time zone are divided on a weekly or monthly basis according to the work style of the user.

  As a non-limiting example, the work schedule may be divided and scheduled for normal work, early work, late work, turn-off, and holidays, as described later with reference to FIG. .

  The processor 11 develops the sleep state determination program stored in the storage device 13 into, for example, the memory 12, and executes the sleep state determination program, thereby implementing various functions as the sleep state determination device 1. The memory 12 and the storage device 13 may be collectively referred to as a “storage unit” of the sleep state determination device 1 for convenience.

  The programs and data may be provided in a form recorded on a computer-readable recording medium. Examples of the recording medium include a flexible disk, a CD-ROM, a CD-R, a CD-RW, an MO, a DVD, a Blu-ray disk, and a portable hard disk. A semiconductor memory such as a USB (Universal Serial Bus) memory is also an example of the recording medium.

  The programs and data stored in the semiconductor memory may be read by the processor 11 through an input / output IF (not shown) provided in the information processing device 1, for example.

  The program and data may be provided (in other words, downloaded) from the server or the like to the information processing device 1 via a communication line. For example, a program or data may be provided to the information processing device 1 through the communication IF 14 or another communication IF.

  Further, programs and data may be input to the information processing device 1 by an input device. An example of the input device is a keyboard, a mouse, an operation button, or the like.

  The communication IF 14 is, by way of example, an example of a communication interface that enables connection and communication with the activity meter 2.

  A display device (not shown) as an example of an output device may be connected to the information processing device 1. A liquid crystal display or the like may be applied to the display device. The liquid crystal display of the touch panel type may be considered to correspond to the input device described above. Note that a printer, a speaker, or the like may be connected to the information processing device 1 as another example of the output device.

  The configuration example of the information processing apparatus 1 illustrated in FIG. 1 is merely an example, and the hardware of the information processing apparatus 1 may be appropriately increased or decreased. For example, addition, deletion, division, integration in any combination, addition or deletion of a communication bus, or the like of an arbitrary hardware block may be appropriately performed in the information processing device 1.

(Example of work schedule)
Next, an example of a work schedule will be described with reference to FIGS.
FIG. 3 shows an example of a work schedule (may be referred to as a “shift table”) of a user whose work form can be classified into normal work, early work, late work, turn-off, and holiday. FIG.

  The work schedule illustrated in FIG. 3 is, for example, a person working in a transportation system such as a railroad, a bus, or an aircraft (for example, a train driver or conductor, a bus driver or crew, an aircraft pilot or a cabin crew, etc.). ) May be taken as an example of a work schedule.

  Alternatively, the work schedule illustrated in FIG. 3 may be a work schedule (eg, 2 to 4 shift system) different from normal work, such as a doctor, a nurse, a guard, a policeman, a fireman, or the like. Work schedule example.

  Note that the “normal work” may be, for example, a form in which working hours defined by regular clock-out times are employed. Various work modes different from “normal work” may be collectively referred to as “non-normal work” or “shift work” for convenience.

  “Early out” is also referred to as “early turn”, and refers to a work mode in which a person goes to work earlier than the regular work time in normal work. “Late shift” is also referred to as “late shift” or “night shift”, and refers to a work style in which the employee goes to work later than the regular work time in normal work. Note that a work mode that is neither “early shift” nor “late shift” may be referred to as “middle shift”.

  The “turn-in” means duty on duty or night shift, and the “off duty” means not on duty or duty shift. For example, “turn-off” means that on the next day after finishing work from the previous day (sometimes referred to as “night shift”), there is no work obligation, but a prescribed time (for example, Work hours).

  Note that "turning on" may be referred to as "on duty" working on duty or "duty duty". The “duty shift” duty includes, for example, a day duty duty duty duty shift during the day and a night duty duty duty duty staying at the place of work. Therefore, the above “night shift” may be referred to as “night shift”. A "holiday" is a day without work obligations throughout the day.

  As illustrated in FIG. 3, in the work schedule of a certain worker, any one of early work, late work, and turn-off may be selectively scheduled.

  For example, depending on the worker, early work, late work, and all the turn-off work may be scheduled, or early work, late work, and only a part of the turn-off work are scheduled Sometimes. Alternatively, early shift work, late shift work, and other shift modes different from shift to non-shift may be scheduled to the user.

  As illustrated in FIG. 3, in “normal work”, the worker sleeps, for example, from 12:00 to 7:00 a.m., goes to work at a regular work time (for example, 8:00 am, etc.), and Leaves the office at the time of leaving the office (for example, 5:00 pm). In this case, the sleep time of the worker is 7 hours.

  In “early work”, the worker sleeps, for example, from 23:00 on the previous day to 4:00 in the morning, goes to work at 5:00 in the morning, and leaves at 3:00 pm. A nap time or a break time may be provided within the working hours of “early work”. As a non-limiting example, one hour from 1:00 pm to 2:00 pm may be assigned to a nap time. In this case, the sleep time of the worker is 6 hours.

  In "late work", the worker sleeps, for example, from 1 am to 10 am, goes to work at 5 pm, and leaves at 4 am the next day. In this case, the sleep time of the worker is 9 hours. Note that a nap time or a break time may be provided within the working hours of “late work”.

  In the “shift-off duty”, the worker “shifts in” from, for example, 8:00 am to 11:00 pm, sleeps in the office from midnight to 3:00 in the morning, and sleeps from 4:00 in the morning. Work "off duty" until 11am. In this case, the sleep time of the worker is 3 hours. Note that a nap time or a break time may be provided within the working time of the “work shift”.

  In “holiday”, the worker sleeps, for example, from 2:00 in the night to 9:00 am. In this case, the sleep time of the worker is 7 hours.

  FIG. 4 is a diagram showing the tendency regarding the sleep of the worker in various types of work as described above in comparison with “normal work”. For example, in the case of `` early arriving at work '' in which employees go to work early in the morning and leave in the morning, since the worker wakes up early in the morning, the sleep time before getting up tends to be earlier than in `` normal work '', The time from wake-up time to work time tends to be shorter. On the other hand, since the leaving time is earlier than “normal work”, the time from the leaving time to the sleep time tends to be longer.

  Note that the “sleeping time” is a different concept from the “sleeping time” of the worker on the bed, and means the time at which the worker actually went to sleep. The “sleeping time” usually does not match the “sleeping time” and is often a time later than the “sleeping time”, but for convenience, “sleeping time” = “sleeping time” may be used. In some cases.

  In FIG. 4, in the case of “late work” in which the worker goes to work in the afternoon and leaves at midnight, the wake-up time of the worker is in the afternoon. And the time from the wake-up time to the work time tends to be longer. On the other hand, since the time of leaving the office is late, the time from the time of leaving the office to the time of falling asleep tends to be shorter than that during the “normal work”.

  In addition, since `` turn-off '' workers who arrive early in the morning and leave the morning of the next day, the turn-in time is early in the morning, as with `` early turn, '' Sleeping time before waking up tends to be earlier, and the time from waking up to work time tends to be shorter. On the other hand, since the worker stays at the office after the "turn-in", the sleeping time tends to be later than in the "normal work". Further, during the off-duty after staying, the worker gets up early in the morning and leaves the office in the morning, so the time from the wake-up time to the leaving time tends to be extremely shorter than during the “normal work”.

  Note that, on “holiday”, for example, the user's sleep time and wake-up time tend to be later than the “normal work” day. From the above tendency, the sleep time of workers is about the same as that of "normal work" for "early work", longer for "late work", shorter for "turn-off", and longer for "holiday". Yes, there is.

  FIG. 5 shows examples of the work schedules of the 2-shift system, the 3-shift system, the 4-shift system, and the 2-shift system as other examples of the work schedule. The two-part system may also be considered as a type of shift system.

  As illustrated in FIG. 5, in the two-shift system, the three-shift system, and the four-shift system, a work schedule may be set, for example, in units of one week (7 days). On the other hand, in the two-part system, for example, a work schedule may be set in units of two weeks (14 days).

  Two shift workers (eg, nurses) work normally from 8:00 am to 5:00 pm on the first day and leave from 5:00 pm on the second day to 8:00 am on the following day (the third day). I work and the fourth day is a holiday. The fifth and sixth days are regular work, and the seventh day is a holiday.

  Three shift workers (eg, police officers) work 24 hours a day from 9 am to 9 am on the following day (day 2), and from 9 am to 6 pm on the third day. I usually work. The fourth day is 24-hour work from 9:00 am, the sixth day is holiday, and the seventh day is 24-hour work from 9:00 am. In the 24-hour work, a nap time and a break time are appropriately set, and a “off-duty” time zone is also set. This is the same in a four-shift system or a two-part system.

  Four-shift workers (for example, police officers) work 24 hours a day from 9 am to 9 am the next day (day 2), and from 9 am to 6 pm on the third day. I usually work. The fourth day is a holiday, the fifth day is 24-hour work from 9:00 am, and the seventh day is regular work from 9:00 am to 6:00 pm.

  Two-shift workers (eg, firefighters) work 24 hours from 8:00 am on the first and third days to 8:00 am on the following day, and holidays on the fifth and sixth days. The seventh, ninth, and eleventh days are 24-hour work from 8:00 am to 8:00 am the next day, and the thirteenth and fourteenth days are holidays. Therefore, in this example, of the two weeks (14 days), the holiday is four days, and there are five 24-hour shifts.

  As described above, there are various forms of working of workers. Here, when the activity meter 2 is attached to the worker, and the user tries to grasp and manage the sleep state of the worker, for example, depending on the work form such as shift system, the time of sleep varies from day to day. Therefore, an error may occur in the determination (or estimation) of the sleep state.

  Therefore, the sleep state of a worker whose sleep time is irregular may not be correctly grasped. Then, for example, as a part of the health management of workers whose sleeping hours are irregular, even if the user tries to provide sleep improvement guidance according to the sleep state of the worker, appropriate or effective guidance etc. May not be possible.

  Here, the “sleep state” can be evaluated by an index called “sleep efficiency”. The sleep efficiency of a person can be obtained, for example, by "the actual length of sleep" ÷ "the length of time in bed", and it is said that it is better to be about 85%.

  Note that the “actual sleeping time length” can be obtained, for example, from the difference between the time when the user actually went to sleep (sleeping time) and the time when he / she woke up. The “length of time in bed” can be obtained from the difference between the time of going to bed and the time of leaving bed.

  The “time of bed” may be detected, for example, as a “time at which a person enters a state of rest in an attempt to start sleep”. The “time at which the person enters a resting state” is, for example, a state in which it can be determined that there is no physical movement (may be referred to as “body movement”) such as a change in the posture of a person based on the activity amount data. It may be detected as a time that has continued for a fixed time.

  The “resting state” may be referred to as “inactive” state, or may be abbreviated as “inactive state”. The time zone in which the activity amount data indicates “inactive state” may be referred to as “inactive time zone”.

  On the other hand, the state in which the body motion can be determined may be referred to as “active” state, or may be abbreviated as “active state”. A time zone in which the activity amount data indicates the “activity state” may be referred to as an “activity time zone”.

  The working hours of the worker are an example of “active hours”, and the sleeping hours of the worker are examples of “inactive hours”.

  The “time of getting out of bed” may be referred to as “wake-up time”, and as an example, a time at which a body motion indicating that the posture of the person has changed from a “resting state” to a standing position or the like is detected. May be detected.

  Therefore, the “time of going to bed” and the “time of getting out of bed” can be detected, for example, by detecting the presence or absence of a body motion and a change in posture (in other words, body position). The presence or absence of a body movement including a change in the posture of the person can be detected, for example, using an inertial sensor such as an acceleration sensor or a gyroscope.

  For example, if an inertial sensor having a plurality of detection axes (for example, two axes or three axes) is used for the activity meter 2, the activity meter 2 can detect the presence or absence of a body motion including a change in posture. Therefore, the information detected by the activity meter 2 is analyzed by the information processing device 1 so that the sleep efficiency can be obtained.

(Example of configuration of activity meter 2)
FIG. 6 shows a configuration example of the activity meter 2. As shown in FIG. 6, the activity meter 2 may include, for example, a processor 21, a memory 22, a storage device 23, a communication IF 24, and an inertial sensor 25.

  The processor 21, the memory 22, the storage device 23, the communication IF 24, and the inertial sensor 25 may be, for example, connected to a communication bus 26 and can communicate with each other via the processor 21.

  The processor 21 is an example of a processing unit or an arithmetic processing device having an arithmetic capability, similarly to the processor 11 of the information processing device 1. For example, a CPU, an IC such as an MPU, or a DSP may be applied.

  The memory 22 is an example of a memory that stores various data and programs, similarly to the memory 12 of the information processing device 1, and a RAM may be applied as an example. The memory 22 may include a RAM and a ROM.

  The memory 22 may be used, for example, as a work memory of the processor 21. For example, data or programs stored in the ROM or the storage device 23 may be expanded in the work memory 22 and used for the arithmetic processing of the processor 21.

  The storage device 23 stores various data and programs. As the storage device 23, similarly to the storage device 13 of the information processing device 1, one or both of an HDD and an SSD may be applied as a non-limiting example.

  The data stored in the storage device 23 may include a sensing result of the inertial sensor 25 and activity amount data detected or determined based on the sensing result.

  The programs stored in the storage device 23 may include programs for implementing various functions as the activity meter 2 (for convenience, they may be referred to as “activity meter programs”). All or a part of the program code constituting the activity meter program may be stored in the ROM or may be described as a part of the OS of the activity meter 2.

  The processor 21 expands the activity meter program stored in the storage device 23 into, for example, the memory 22 and executes the program, whereby various functions as the activity meter 2 are realized. Note that the memory 22 and the storage device 23 may be collectively referred to as a “storage unit” of the activity meter 2 for convenience.

  The activity meter 2 may include an input unit such as an operation button for the user to input information, and an output unit such as a display for presenting information to the user. For example, a liquid crystal display may be applied to the display, and a touch panel display serving also as an input unit may be applied. The user ID described above may be input and set to the activity meter 2 through the input unit.

  The inertial sensor 25 can, for example, sense “movement” corresponding to the body movement of the user to which the activity meter 2 is attached. The inertial sensor 25 may be an acceleration sensor or a gyroscope.

  For example, any of a piezoelectric sensor and a capacitance sensor may be applied to the acceleration sensor. Any of a rotary mechanical (top) sensor, an optical sensor, and a vibration sensor may be applied to the gyroscope.

  The inertial sensor 25 may have a plurality of detection axes, for example. For example, the inertial sensor 25 may be an inertial sensor 25 having two or three detection axes. “Motion” in a direction along the detection axis may be detected by the inertial sensor 25 as, for example, “acceleration”.

  In the two-axis inertial sensor 25, the first and second detection axes may be orthogonal to each other, and in the three-axis inertial sensor 25, the first to third detection axes may be orthogonal to each other. By detecting accelerations in directions along a plurality of detection axes orthogonal to each other, for example, not only movement in one direction of the user but also two-dimensional or three-dimensional movement in accordance with a change in posture of the user. Can also be detected or estimated.

  A signal corresponding to the “movement” detected by the inertial sensor 25 may be input to the processor 21. The detection signal of the inertial sensor 25 may be referred to as “detected value” or “inertial sensor value” for convenience.

  The processor 21 may detect or determine, for example, whether the user is active or inactive based on the inertial sensor value. Illustratively, the processor 21 may detect or determine whether the user is active or inactive by comparing the inertial sensor value to a threshold. The result of the determination may be output as activity amount data.

  FIGS. 7A and 7B show a non-limiting example of the activity data obtained by the activity meter 2.

  FIG. 7A shows, for example, an activity amount indicating that the user is “inactive” from midnight to 7:00 am and “active” from about 7:00 am to 24:00. It illustrates that the data was obtained.

  In FIG. 7B, for example, the user is “active” from midnight to 8:00 am, “inactive” from 8:00 am to 5:00 pm, and is inactive from 5:00 pm to 24 pm It is illustrated that activity amount data indicating that it was in the “active state” until time is obtained.

  The activity data obtained by the activity meter 2 may be stored in the storage device 23. In the storage device 23, the activity amount data may be stored, for example, in association with the sensor ID (or the user ID). The activity amount data may be input from the activity amount meter 2 to the information processing device 1 together with the ID.

  The information processing device 1 (for example, the processor 11) identifies the schedule information of the user to whom the activity meter 2 is attached, for example, in the schedule DB illustrated in FIG. 2 based on the ID acquired from the activity meter 2. It is possible.

  The process of detecting or determining whether the user is in a movable state or an inactive state is performed by the information processing device 1 (for example, the processor 11) instead of the inertia input from the activity meter 2. It may be performed based on the sensor value.

  By the way, when the inertia sensor 25 is used for the activity meter 2, when the person is at rest in a sitting position, or when the activity meter 2 is left in a toilet or a bathroom, the inertia sensor is attached to the body. Even when there is no user, it is easy to detect or determine that the user is in the “inactive state”.

  When it is determined that the user is “sleeping” when “inactive state” is continuously detected for a certain period of time or longer, as in the situation described above, even though the user is not actually sleeping, It may be erroneously determined that the state is “sleeping”.

  If the user sleeps in a daily time period (may be referred to as a “sleep time period” for convenience) to a certain degree, the user is partially or wholly in the time when the “inactive state” is detected. By determining whether or not a user belongs to the sleep time zone, erroneous determination can be suppressed.

  For example, if the subject lives a regular life of going to bed every day from 10 pm to midnight and getting up from 7 am to 9 am the next day, Even if an “inactive state” is detected outside the band, it can be determined that the user is not sleeping.

  However, in the case of workers who work differently than usual, such as the shift system described above, sleeping hours may vary from day to day. Therefore, it is difficult to determine whether the worker is sleeping. For this reason, an erroneous determination as to whether or not there is a sleep time may occur in a time zone other than the sleep time zone where the user should not be sleeping.

  Therefore, in the present embodiment, in the information processing apparatus 1, based on the activity data obtained by the activity meter 2, and the work schedule of the user (worker) to which the activity meter 2 is attached, The sleep state of the user is determined. Hereinafter, several embodiments will be described.

(First embodiment)
FIG. 8 is a flowchart illustrating a first embodiment of the sleep state determination process performed by the information processing device 1 (for example, the processor 11).

  As illustrated in FIG. 8, when the information processing apparatus 1 acquires the activity data from the activity meter 2 (process P11), the information processing apparatus 1 may check whether or not the activity data indicates an “active state” (step P11). Process P12).

  If the activity amount data is data indicating “active state” (YES in process P12), the information processing device 1 may determine that the user is “active” and not “sleeping” (process P16). ).

  On the other hand, if the activity amount data is data indicating “inactive state” (NO in process P12), the information processing apparatus 1 refers to the schedule DB using the ID acquired together with the activity amount data as a key, and The corresponding schedule information may be obtained (process P13).

  Then, for example, the information processing apparatus 1 may determine whether or not the schedule information corresponding to the time of the activity amount data indicating “inactive state” indicates “active state” (for example, working hours) ( Process P14).

  As a result of the determination, if the schedule information does not indicate “active state” (NO in process P14), in other words, if the schedule information indicates “inactive state”, the information processing apparatus 1 It may be determined that the state is “sleeping” (process P15).

  It should be noted that the time zone indicating “inactive state” in the schedule information is not limited to a time zone outside working hours, but may include a nap time or a break time provided in the working hours. In other words, it may be considered that the work time zone indicating the “active state” in the schedule information does not include the nap time or the break time provided in the work time zone.

  Therefore, even during the working hours, the nap time and the rest time are not excluded from the time zones of the targets (or candidates) for detecting the inactive state of the subject based on the activity data. Therefore, it is possible to determine whether the user is in the state of “sleeping” even during the nap time or the break time. In addition, the time zone of the detection target (or detection candidate) of “inactive state” based on the activity amount data may be referred to as “search range” for convenience.

  On the other hand, as a result of the determination, if the schedule information indicates “active state” (YES in process P14), even if the activity amount data indicates “inactive state”, the information processing apparatus 1 sets “ It may be determined that the state is “active” instead of the state “sleeping” (process P16).

  In other words, if the schedule information indicates a time zone of “active state” such as a work time zone, the information processing apparatus 1 determines the time zone based on the activity amount data based on the inactivity of the subject. The state may be excluded from the detection target.

  Therefore, for example, when the user is in a sitting position and resting during working hours, or when the activity meter 2 is not attached to the body because the user has left the activity meter 2 in a toilet or a bathroom, etc. In addition, it is possible to prevent the user from erroneously determining that the user is in the “sleeping” state.

(Second embodiment)
Next, FIG. 9 is a flowchart illustrating a second embodiment of the sleep state determination process performed by the information processing device 1 (for example, the processor 11).

  As illustrated in FIG. 9, when the information processing apparatus 1 acquires the activity data from the activity meter 2 (process P21), the information processing apparatus 1 refers to the schedule DB using the sensor ID acquired together with the activity data as a key, and The schedule information corresponding to the ID may be obtained (process P22).

  Based on the acquired schedule information, the information processing device 1 may detect a time zone (active time zone) indicating “active state” (process P23).

  In response to the detection of the activity time zone, the information processing device 1 detects the activity time zone based on the activity amount data and may detect the “inactive state” of the user (may be referred to as a “candidate”). (Process P24).

  In other words, the information processing apparatus 1 may set a time zone excluding the detected activity time zone from the schedule information as a search range for detecting the “inactive state” of the user based on the activity amount data. This can prevent the user from erroneously determining that the user is in the “sleeping” state during the user's activity time zone.

  The information processing device 1 may determine whether or not the acquired activity amount data indicates “inactive state” in the time zone set as the “inactive state” detection candidate based on the activity amount data (processing P25).

  As a result of the determination, if the acquired activity amount data indicates “inactive state” (YES in process P25), the information processing device 1 may determine that the user is in “sleeping” state ( Process P26).

  On the other hand, if the acquired activity amount data does not indicate the “inactive state” (NO in process P25), the information processing device 1 determines that the user is in the “active state” instead of the “sleeping” state. The determination may be made (process P27).

  As described above, in the second embodiment, similarly to the first embodiment, for example, when the user is sitting and resting during working hours, or when the activity meter 2 is placed in a toilet or a bathroom, etc. For example, when the activity meter 2 is not attached to the body due to misplacement or the like, it is possible to prevent the user from erroneously determining that the user is in the “sleeping” state.

  Further, according to the second embodiment, since the “active time zone” detected in the schedule information is excluded from the “inactive state” detection candidates based on the activity amount data, the processing is simple.

(Third embodiment)
Next, a third embodiment of the sleep state determination process performed by the information processing device 1 (for example, the processor 11) will be described with reference to FIG. FIG. 10 corresponds to a flowchart in which the processes P25 to P27 in FIG. 9 are replaced with processes P31 to P35. Therefore, the third embodiment may be regarded as a modification of the second embodiment.

  As illustrated in FIG. 10, after performing the processes P21 to P24 in the same manner as in the second embodiment, the information processing apparatus 1 includes an inactive time zone before or after the active time zone in the schedule information. It may be determined whether or not (Process P31).

  As a result of the determination, if there is an inactive time zone before or after the active time zone (YES in process P31), the information processing device 1 determines the inactive time zone to be a sleeping time zone, and sets the sleeping time zone to Alternatively, it may be set to a time zone of a detection candidate of “inactive state” based on the activity amount data (process P32).

  For example, in the case of “normal work” in the example of FIG. 2, there is a scheduled sleep time zone from midnight to 7:00 am before the work time from 8:00 am to 5:00 pm, The time zone may be set in the “inactive state” search range based on the activity amount data.

  In the case of “turn-off” in the example of FIG. 2, there is a scheduled sleep time after the “turn-in” work time. Active state "may be set in the search range.

  Then, the information processing device 1 may determine whether or not the activity amount data indicates “inactive state” in the set search range (process P33).

  As a result of the determination, if the activity amount data indicates “inactive state” (YES in process P33), information processing device 1 may determine that the user is in a “sleeping” state (process P34). ).

  On the other hand, if the acquired activity amount data does not indicate the “inactive state” (NO in process P33), the information processing apparatus 1 determines that the user is in the “active state” instead of the “sleeping” state. The determination may be made (process P35).

  In the process P31, if there is no inactive time zone before and after the excluded active time zone in the schedule information (NO in the process P31), the information processing apparatus 1 proceeds to the process P21 in FIG. May be returned.

  According to the third embodiment, in the schedule information, the inactive time zone existing before or after the user's active time zone is determined as the sleeping time zone, and the “inactive state” detection candidate based on the activity amount data is determined. Set the time zone.

  Therefore, it is possible to suppress a sleep time zone other than the activity time zone indicated in the user's schedule information from leaking from the search range of “inactive state” based on the activity amount data. Therefore, the accuracy of determining the sleep state of the user can be improved.

  As described above, according to the embodiment including the first to third examples, even if the scheduled sleeping time may differ from day to day, as in the case of a shift-type worker, for example, the work schedule may be changed. Based on this, the search range of the inactive state based on the activity amount data can be changed.

  For example, based on the work schedule, the working hours of the worker are excluded from the search range of the inactive state based on the activity data, or the inactive hours are estimated as the sleeping hours, and the sleeping hours are activated. It can be included in the inactive search range based on the quantity data.

  Therefore, it is possible to set and change the search range of the inactive state based on the activity amount data, in other words, the time period for which the sleep state is to be determined, in an appropriate time zone according to the work mode indicated by the work schedule.

  Therefore, it is possible to suppress erroneous determination as to whether or not there is a sleep time in a time zone in which the worker should not be sleeping according to the work schedule, and improve the determination accuracy of the sleep state of the worker.

  As a result, for example, for employees whose work hours are irregular and also related to safety and security, the user can accurately grasp the sleep state according to the work style and respond to the work style. It is possible to provide appropriate sleep improvement guidance and the like.

1 information processing device (sleep state determination device)
10 Information processing system (sleep state determination system)
Reference Signs List 11 processor 12 memory 13 storage device 14 communication interface (IF)
15 Communication bus 2 Activity meter 21 Processor 22 Memory 23 Storage device 24 Communication IF
25 Inertial sensor 26 Communication bus

Claims (13)

An activity meter that measures the activity of the subject,
An information processing device;
The information processing device,
A storage unit for storing the schedule information of the subject,
Acquiring activity amount data measured by the activity meter, and determining a state related to sleep of the subject based on the acquired activity amount data and the schedule information stored in the storage unit. A processing unit;
With
The processing unit includes:
When the acquired activity amount data indicates an inactive state, and when the schedule information of the subject indicates an inactive state, the subject is determined to be in a sleeping state,
Even if the acquired activity amount data indicates an inactive state, if the schedule information of the subject indicates an active state, it is determined that the subject is not in a sleeping state.
Sleep state determination system.   The sleep state determination system according to claim 1, wherein the schedule information is work schedule information according to a work mode of the subject. The processing unit includes:
In the work schedule information, the work time zone indicating that the subject is active is detected,
The sleep state determination system according to claim 2, wherein the detected work hours are excluded from targets for detecting the inactive state of the subject based on the activity amount data.   4. The sleep state determination system according to claim 3, wherein the work time period indicating the active state does not include a nap time or a break time provided in the work time period. 5. The processing unit includes:
In the work schedule information , before or after a work time zone indicating that the observer is active, to determine whether there is an inactive time zone of the observer,
Wherein when the inactivity time period is present, said non-activity time period determines that the sleeping time zone of the viewer, the sleep state determining system according to claim 2. The processing unit includes:
3. The sleep state determination system according to claim 2, wherein a time period for which the inactive state of the subject is detected based on the acquired activity amount data is changed according to the different work patterns. 4.   The sleep state determination system according to any one of claims 2 to 6, wherein the work mode is a shift work mode.   The sleep state determination system according to claim 7, wherein the shift-type work mode includes an early work shift in which a work shift time is earlier than a normal shift.   The sleep state determination system according to claim 7, wherein the shift-type work mode includes late work with a later work time than normal work.   The sleep state determination system according to claim 7, wherein the shift-type work forms include shift work and non-shift work. A storage unit that stores schedule information of the subject whose activity is measured by the activity meter;
Acquiring activity amount data measured by the activity meter, and determining a state related to sleep of the subject based on the acquired activity amount data and the schedule information stored in the storage unit. And a processing unit,
The processing unit includes:
When the acquired activity amount data indicates an inactive state, and when the schedule information of the subject indicates an inactive state, the subject is determined to be in a sleeping state,
Even if the acquired activity amount data indicates an inactive state, if the schedule information of the subject indicates an active state, it is determined that the subject is not in a sleeping state.
Sleep state determination device. The information processing device is
Obtain activity data measured by an activity meter that measures the activity of the subject,
Based on the acquired activity amount data and the schedule information of the subject stored in the storage unit, determine a state related to the sleep of the subject,
When the acquired activity amount data indicates an inactive state, and when the schedule information of the subject indicates an inactive state, the subject is determined to be in a sleeping state,
Even if the acquired activity amount data indicates an inactive state, if the schedule information of the subject indicates an active state, it is determined that the subject is not in a sleeping state.
Sleep state determination method. Obtain activity data measured by an activity meter that measures the activity of the subject,
Based on the acquired activity amount data and the schedule information of the subject stored in the storage unit, determine a state related to the sleep of the subject,
In the case where the acquired amount of activity data indicates an inactive state, and when the schedule information of the subject indicates an inactive state, the subject is determined to be in a sleeping state,
Even if the acquired activity amount data indicates an inactive state, if the schedule information of the subject indicates an active state, it is determined that the subject is not in a sleeping state.
A sleep state determination program that causes a computer to execute processing.

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