Information processing apparatus, temperature measuring device, information processing method, and program

Abstract

To provide an information processing apparatus, a temperature measuring device, an information processing method, and a program that can more easily obtain continuous data of measured temperature appropriately reflecting body temperature.SOLUTION: An information processing apparatus comprises: a determination unit that determines whether the wrist of a subject from which body temperature is acquired is in a stable state in which a heat dissipation state equal to or less than a reference continues; and an acquisition unit that selectively acquires the temperature of the wrist based on a temperature measured value obtained by a temperature measuring unit mounted on the wrist in a period during which the wrist is determined to be in the stable state.SELECTED DRAWING: Figure 6

Description

[Technical field]

[0001] The present invention relates to an information processing device, a temperature measuring device, an information processing method, and a program. [Background technology]

[0002] Body temperature measurement is widely used for health management, etc. For daily body condition management, it is also useful to obtain continuous fluctuation patterns of body temperature on a daily or monthly basis.

[0003] In Patent Document 1, the temperature is measured at a first position near the radial vein on the palm side of the wrist, and at a second position symmetrical to the first position on the back side of the wrist. The deep temperature is estimated based on the positional relationship and the temperature difference between these positions. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2017-055968 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, in a body temperature measurement method that requires the user to intentionally perform the measurement, it is very time-consuming to obtain continuous measurement results. On the other hand, the wrist measurement has the problem that the wrist is easily affected by the external environment, and it is not always possible to obtain the deep temperature with high accuracy continuously.

[0006] An object of the present invention is to provide an information processing device, a temperature measuring device, an information processing method, and a program that can more easily obtain continuous measured temperature data that appropriately reflects body temperature. [Means for solving the problem]

[0007] In order to achieve the above object, the present invention provides A discrimination unit that discriminates whether the wrist of the subject to be measured is in a stable state where heat dissipation below a standard continues; an acquisition unit that selectively acquires a temperature of the wrist based on a temperature measurement value obtained by a temperature measurement unit attached to the wrist during the period in which the stable state is determined; The information processing device includes: Effect of the Invention

[0008] According to the present invention, it is possible to more easily obtain continuous data of measured temperature that appropriately reflects body temperature. [Brief description of the drawings]

[0009] [Figure 1] 1 is a block diagram showing a configuration of a body temperature measuring system according to a first embodiment. FIG. [Diagram 2] FIG. 13 is a diagram for explaining a body temperature measurement state in the measurement device. [Diagram 3] FIG. 1 is a diagram for simply explaining the state of a user while sleeping. [Figure 4] An example of temperature measurement is shown below. [Diagram 5] 11 is a diagram illustrating a temperature measurement control process executed by the measurement device. FIG. [Figure 6] 10 is a flowchart showing a control procedure of a temperature change pattern calculation control process executed in the information processing device. [Figure 7] 10 is a flowchart showing a control procedure of a temperature change pattern calculation control process according to a second embodiment. [Figure 8] 13 is a flowchart showing a control procedure of a temperature change pattern calculation control process according to a third embodiment. [Figure 9] FIG. 13 is a diagram showing a configuration of a body temperature measuring system according to a fourth embodiment. [Figure 10] 13 is a flowchart showing a control procedure of a temperature change pattern calculation control process according to a fourth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. [First embodiment] FIG. 1 is a block diagram showing the configuration of a body temperature measuring system 100 according to the first embodiment. The body temperature measuring system 100 includes an information processing device 1 and a measuring device 5 (temperature measuring device).

[0011] The measurement device 5 is worn on the wrist of a user (a person whose body temperature is to be acquired) to perform various measurements related to the condition of the user. The measurement device 5 includes a CPU 51 (Central Processing Unit) as a control unit, a memory 52, a communication unit 53, an ADC 54 (Analog to Digital Converter), a measurement unit 55, an operation reception unit 56, and the like.

[0012] The CPU 51 is a processor that performs arithmetic processing and controls the overall operation of the measuring device 5. The CPU 51 may be a single processor, or may be a plurality of processors that operate in parallel or independently depending on the application.

[0013] The memory 52 includes a RAM (Random Access Memory) and a non-volatile memory. The RAM provides a working memory space for the CPU 51 and stores temporary data. The non-volatile memory stores control programs and setting data executed by the CPU 51. The non-volatile memory can also temporarily store measurement data measured by the measurement unit 55. The non-volatile memory is, for example, a flash memory, but is not limited to this.

[0014] The communication unit 53 controls communication between the external device and the communication unit 53. For example, the communication unit 53 can control communication by Bluetooth (registered trademark). The communication unit 53 has a communication module for this purpose.

[0015] The ADC 54 converts analog values ​​output from the sensors of the measurement unit 55 into digital values ​​at an appropriate sampling rate. The sampling rate may be changeable under the control of the CPU 51. The ADC 54 is not used for the output results of sensors that directly generate and output digital values ​​in the measurement unit 55.

[0016] Measurement unit 55 has sensors that measure physical quantities and outputs the measurement results of the sensors. The sensors include, for example, arm temperature sensor 551 (temperature measurement unit), external temperature sensor 552, pulse sensor 553, acceleration sensor 554, and the like.

[0017] The arm temperature sensor 551 measures the temperature of the wrist on which the measurement device 5 is attached. The external temperature sensor 552 measures the ambient temperature at a position of the measurement device 5 that is as unlikely to be affected by the user's body temperature as possible, mainly on the outer surface side. Arm temperature sensor 551 and external temperature sensor 552 may measure temperature using, for example, a thermistor.

[0018] Pulse sensor 553 measures the pulse rate of the user. Pulse sensor 553 includes, for example, a light-emitting unit that emits infrared light, green light, or the like, and a light-receiving unit that measures the intensity of the reflected light. The intensity of the reflected light pulsates in response to an increase or decrease in hemoglobin in the blood vessels of the wrist. Pulse sensor 553 determines the pulse by measuring the period of this pulsation. Alternatively, pulse sensor 553 may measure the pulse by another method.

[0019] The acceleration sensor 554 measures the motion state of the measuring device 5. That is, when the user moves with the measuring device 5 or moves his / her arm, the acceleration corresponding to these movements is measured. The acceleration sensor may be, for example, a sensor that measures voltage (current) accompanying deformation of a piezoelectric element corresponding to acceleration in three axial directions, but is not limited to this.

[0020] The pulse sensor 553 and the acceleration sensor 554 may be used to determine whether the user has gone to sleep or woken up. The measurement unit 55 may also have other sensors that are useful for determining whether the user has gone to sleep or woken up and / or sensors that are used for other purposes.

[0021] The operation reception unit 56 receives an operation from an external source such as a user, and outputs a reception signal according to the received content to the CPU 51. The operation reception unit 56 has, for example, a push button switch, a slide switch, etc. The operation reception unit 56 may be able to receive commands such as switching on / off the operation (power supply) of the measuring device 5, switching the operation mode when there are multiple operation modes, resetting, canceling, suspending / resuming the operation, etc.

[0022] The measuring device 5 may also have an LED lamp for performing a simple notification operation, a beep sound generating unit for generating a beep sound, a vibration motor for generating vibrations, a digital display screen, and the like.

[0023] The information processing device 1 is, for example, a general electronic computer, that is, a computer such as a PC. The information processing device 1 includes a CPU 11 as a control unit (a determination unit, an acquisition unit, a conversion unit, and an identification unit), a RAM 12, a storage unit 13, a communication unit 14, a display unit 15, an operation reception unit 16, and the like.

[0024] The CPU 11 is a processor that performs arithmetic processing and controls the overall operation of the information processing device 1. The CPU 11 may be a single processor, or multiple processors that operate in parallel or independently depending on the application, etc. Furthermore, the CPU 11 may have a dedicated processor specialized for specific information processing in addition to or instead of a general-purpose processor.

[0025] The RAM 12 provides a working memory space for the CPU 11 and stores temporary data. The storage unit 13 is a non-volatile memory, and stores a program 131, setting data, acquired data, processing data, etc. The program 131 includes a program related to a temperature change pattern calculation control process described later.

[0026] The communication unit 14 controls communication with the outside. The communication unit 14 is capable of transmitting and receiving data at least to and from the measuring device 5. The communication unit 14 has, for example, a network card for performing communication by TCP / IP via a LAN, and a communication module for performing wireless communication by Bluetooth.

[0027] The display unit 15 has a digital display screen, and displays characters, symbols, signs, diagrams, images, etc. on the digital display screen under the control of the CPU 11. The digital display screen is, for example, a liquid crystal display or an organic EL (Electro-Luminescent) display.

[0028] The operation reception unit 16 receives an input operation from outside and outputs the contents of the received operation as an input signal to the CPU 11. The operation reception unit 16 includes at least a part of a keyboard, a pointer device such as a mouse, a touch panel located over a digital display screen, and the like. The display unit 15 and the operation reception unit 16 are peripheral devices externally attached to the information processing device 1, and may not be included in the main body of the information processing device 1.

[0029] In the body temperature measurement system 100, the measurement device 5 and the information processing device 1 may be integrated. In this case, the CPUs 11 and 51 may be a common single processor. The RAM 12 and the RAM in the memory 52 may have a single memory area and be used in common. The measurement data by the measurement unit 55 may be directly read from the common RAM and processed by the single processor.

[0030] Next, the body temperature measurement according to this embodiment will be described. 2 is a diagram for explaining a schematic diagram of a body temperature measurement state by the measuring device 5. In this diagram, the arm A (wrist W) of the subject whose temperature is to be measured is positioned below, and the measuring device 5 is positioned in contact with the wrist W. The measuring device 5 is fixed to the wrist W by a band or the like (not shown).

[0031] The arm temperature sensor 551 of the measuring device 5 of this embodiment has a first sensor 551a and a second sensor 551b. The first sensor 551a measures the surface temperature T1 of the wrist W at the contact surface with the skin of the wrist W. The second sensor 551b is located between the first sensor 551a and the thermally conductive material 551c, and measures the outer temperature T2 outside the surface of the wrist W. A heat insulating material 551i is located on the side of the thermally conductive material 551c. The heat insulating material 551i reduces the heat that escapes from the thermally conductive material 551c without being transmitted to the second sensor 551b. The heat conductive material 551c is, for example, high-density polyethylene, etc., having a thermal resistance that generates a temperature difference between the first sensor 551a and the second sensor 551b. It is preferable that the measurement portion of the first sensor 551a and the measurement portion of the second sensor 551b have small thermal resistance and heat capacity. This reduces the effect on the heat flow transmitted from inside the arm A through the first sensor 551a and the second sensor 551b to the outside of the arm A and the measurement device 5. For example, the measurement portion of the first sensor 551a and the measurement portion of the second sensor 551b are made of aluminum or the like.

[0032] Heat generated by a heat source deep inside the body (torso) is transferred from the torso through the arm to the first sensor 551a, and further transferred to the second sensor 551b through the thermal conductive material 551c. The heat is dissipated from the second sensor 551b to the outside. Since there is a thermal resistance in each thermal conduction (including the transport of heat by blood circulation) path, a heat flow occurs according to the thermal resistance and the temperature difference. The thermal resistance Rc of the thermal conductive material 551c may be acquired and set in advance according to the material. The thermal resistance Rb of the wrist W is difficult to obtain directly, so it may be obtained statistically based on a large amount of measurement data. The deep temperature Tb of the wrist W is the temperature of heat mainly carried by arterial blood, that is, it may be approximately the same as the arterial blood temperature at the wrist W. The deep temperature Tb of the wrist W according to the surface temperature T1 and the outer temperature T2 of the wrist W is calculated from these thermal resistances Rb and Rc. Hereinafter, when referring to either the surface temperature T1 or the deep temperature Tb, it is also referred to as the temperature of the wrist W. The temperature of the wrist W is lower than the deep body temperature Td and temperatures conventionally measured in the axilla (armpit), under the tongue, rectum, and the like.

[0033] At this time, when the external temperature To changes, the intermediate surface temperature T1 and the outer temperature T2 also change in response to this change. It takes time for the heat flow to stabilize and for the changes in the surface temperature T1 and the outer temperature T2 to converge. In particular, when the surface temperature T1 and the outer temperature T2 are measured at the wrist W, the deep body temperature Td of the torso is transmitted to the wrist W via the arm, so there is a large time difference. In addition, when the user is active, the temperature and heat flow also change due to exercise or changes in the contact point of the arm. In order to eliminate these effects, the information processing device 1 of this embodiment extracts a period in which the measurement is stable from the measurement data during the user's sleep. Sleep here refers to the period from going to bed to waking up, and may include a state in which the user is not asleep (not losing consciousness).

[0034] FIG. 3 is a diagram for explaining an outline of the state of the user U while sleeping. In the state shown in Fig. 3(a), the user U is covered with bedding B such as a comforter, and only the head is exposed. In this state, the arm A including the wrist W of the user U is almost completely isolated from the outside by the bedding B, and the temperature around the arm A rises and is kept close to body temperature regardless of changes in the temperature of the outside air (bedroom). In other words, the difference between body temperature and the surface temperature of the wrist W becomes small, and the state in which the heat flow (heat dissipation) from the wrist W to the outside is reduced (heat dissipation state below the standard) is continuously stable.

[0035] In the state shown in FIG. 3(b), the arm A of the user U is exposed on the bedding B and is not covered by the bedding B. In this state, the user's arm A is affected by the outside air temperature. In particular, the greater the difference between the body temperature and the temperature in the bedroom, the greater the drop in the temperature of the arm A. Furthermore, at night, the room temperature itself often changes, mainly drops, while the user is sleeping. Therefore, the temperature measured by the measuring device 5 attached to the arm A deviates significantly from the body temperature, and the heat flow (heat dissipation) from the wrist W to the outside increases. Furthermore, the heat balance (heat dissipation state) is unstable, and the temperature of the wrist W is prone to change regardless of the body temperature.

[0036] Even when the arm A is covered by the bedding B, there is a difference between the temperature of the futon and the body temperature at the beginning of sleep. Therefore, the time period from when the user goes to sleep until a certain initial time Zth has passed is excluded from the time during which the arm A is covered by the bedding B and the temperature of the wrist W is maintained. Even if the arm A is covered by the bedding B during sleep, it takes time for the temperature around the arm A to stabilize at about body temperature. Therefore, the temperature of the wrist W is actually measured stably from the time when the initial time Zth has passed and from the time when the arm A, which was not covered by the bedding B, is covered by the bedding B after that, while the state of being continuously covered by the bedding B is maintained for a certain transition time or more. During these periods, the temperature around the arm in the bedding is stabilized at a temperature slightly lower than the body temperature. Therefore, the temperature difference between the deep temperature Tb of the arm and the external temperature To is small, and the error of the surface temperature T1, which is between them, is also estimated to be small. The bedding B may be anything that covers the user's body and has sufficient heat retention, and includes blankets in addition to various types of comforters. In addition, a state in which the arm is tucked under a body pillow or in a sleeping bag may be equivalent to a state in which the arm is covered with a comforter, etc. The transition time may be shorter than the initial time Zth.

[0037] As described above, when the wrist W is covered with bedding, the measured external temperature To and surface temperature T1 both rise. The temperature difference between the external temperature To and the surface temperature T1 becomes small and stable at a temperature slightly lower than the deep temperature Tb and a commonly obtained body temperature measurement value Tm (e.g., armpit temperature). When the wrist W is taken out of the bedding, the external temperature To drops quickly and the surface temperature T1 drops gradually. In addition, a large temperature difference occurs between the external temperature To and the surface temperature T1.

[0038] Figure 4 shows an example of temperature measurement. In the period I1 immediately after going to sleep, in the initial state where the wrist W is covered with bedding, the surface temperature T1 starts to rise, and then, with a delay, the external temperature To starts to rise gradually. As a result, the temperature difference between the surface temperature T1 and the external temperature To gradually decreases. This period corresponds to the initial time Zth. Note that the body temperature Tm (here, the armpit temperature) measured immediately after going to sleep is accompanied by a nonlinear change.

[0039] During period I2, the external temperature To and surface temperature T1 rise, but the rate of rise gradually decreases and they approach a stable state. During period I3, the external temperature To becomes roughly stable. At this time, the surface temperature T1 is in a state where it is easy to measure in conjunction with body temperature such as deep temperature Tb. After this period I2, the body temperature measurement value Tm slowly decreases for a while.

[0040] When the wrist W is removed from the bedding and exposed to the outside in period I4, the external temperature To and surface temperature T1 drop. After that, when the wrist W is again inside the bedding in period I5, the external temperature To and surface temperature T1 rise and stabilize. In period I6, the surface temperature T1 stabilizes. In this case, the part covered by the bedding is heated to about body temperature, and the temperature of the part of the arm A located inside the bedding B is not in the initial state at the time of going to sleep. In this case, there is no initial time Zth, and the external temperature To and surface temperature T1 can rise to a stable temperature without the deviation that occurs immediately after going to sleep.

[0041] In period I7, the wrist W is again exposed outside the area covered by the bedding B, and the surface temperature T1 and external temperature To drop. In period I8, the wrist W is covered by the bedding B, and the surface temperature T1 and external temperature To gradually rise. However, here the shoulders are not covered by the bedding B, and the surface temperature T1 does not rise as much as in periods I2 and I5. Then, it is time to wake up, the external temperature To and surface temperature T1 drop, and the measurement ends. Before the wake-up time, the measured body temperature Tm tends to remain near the minimum value for about 1 to 2 hours, and then to rise.

[0042] In this way, in a state where the wrist W is continuously covered by the bedding B while the user is sleeping, as in periods I3 and I6, the surface temperature T1 and the outside temperature T2 are stable, and proper measurement becomes possible. As described above, the temperature measurement results during the initial time Zth (period I1) from going to sleep are excluded. In addition, in this embodiment, the stable state is estimated based on the timing when the temperature difference (difference value) between the outside temperature To and the surface temperature T1 becomes equal to or less than a reference value. For example, the timing when the stable state is reached may be after a specified time Zp has passed while the difference value is kept equal to or less than the reference value after the difference value becomes equal to or less than the reference value. Alternatively, the reference value (first reference value) of the difference value that is the starting point for counting the specified time Zp and the reference value (second reference value) for finally judging the stable state may be different. In other words, the stable state may be reached when the specified time Zp has passed while the difference value is kept equal to or less than the first reference value, and the difference value has further become equal to or less than the second reference value. The specified time Zp may be, for example, one hour. In this embodiment, even if the difference value is already equal to or less than the reference value during the initial time Zth, the specified time Zp is still counted from the point at which the initial time Zth has elapsed. The period during which the specified time Zp is counted is considered to be included in a transition period during which the wrist W is covered by the bedding B but the temperature of the wrist W is not stable at a temperature close to body temperature, and is therefore excluded from accurate temperature measurement results.

[0043] The relationship between the thus obtained deep temperature Tb of the wrist W and the deep body temperature Td or the body temperature usually measured at another measurement position, for example, the body temperature measurement value Tm of the armpit, is obtained in advance. Hereinafter, the term "body temperature" refers to either the deep body temperature Td or the body temperature measurement value Tm. These are measured together, and the relationship between the two is regressively obtained, thereby obtaining an estimated body temperature corresponding to the deep temperature Tb. The regressive relationship may simply be a linear function, or may be a higher-order function or an irrational function. This process corresponds to the operation of the conversion unit in the information processing device 1 of this embodiment. If the temperature of the wrist W is a value that appropriately reflects the body temperature, the temperature of the wrist W can be converted to a normal measured body temperature. By expressing the temperature as a normal measured body temperature, the user can easily sense the high or low body temperature and its changes.

[0044] As described above, even if the wrist W is covered, the relationship between the temperature of the wrist W and the body temperature may be different depending on whether the upper body, such as the shoulders, is covered by bedding or not. Therefore, the relationship between the two may be determined depending on whether the upper body is covered or not, or a single relational expression may further include as a variable the presence or absence or degree of exposure of the upper body.

[0045] The body temperature obtained as above may be scattered if it is only data from one day due to the above exclusion conditions. In this state, it is difficult to increase the accuracy for identifying the time change pattern of body temperature during sleep. Therefore, the information processing device 1 overlaps body temperature data from multiple days (for example, ±3 days) before and after the target day for identifying the change pattern, thereby increasing the number of data and the period and obtaining the change pattern. When overlapping the body temperature data, the user's bedtime and / or wake-up time may differ from day to day. In order to unify these, the information processing device 1 aligns the measurement timing based on the elapsed time from the bedtime of each sleep. Even if the duration of sleep differs slightly from day to day, the temperature change pattern shows a similar tendency in natural sleep and wake-up. Therefore, the information processing device 1 can easily and appropriately obtain a temperature change pattern using the measurement data of multiple days by normalizing the elapsed time based on the bedtime timing by the sleep time. In particular, the information processing device 1 adjusts the timing by using a normalized time that normalizes the elapsed time between the bedtime and the wake-up time. That is, the bedtime is "0" and the wake-up time is "1". Such normalization is effective because the change pattern of body temperature during sleep shows a similar tendency even if the sleep time changes slightly.

[0046] In addition, when the sleep time is short and the user is forced to wake up using an alarm or the like, there may be cases where the body temperature does not change to the extent that the wake-up time becomes "1". In consideration of such cases, when the sleep time is shorter than the lower limit time, normalization may be performed so that the timing when a certain lower limit time has passed since the bedtime becomes "1". The lower limit time may be fixed at, for example, 6 hours, or may be dynamically determined based on the user's average sleep time.

[0047] In the normalized time Zn, the excluded time immediately after going to bed is, for example, between 1 / 7 and the time of going to bed. The body temperature after "1 / 7" of the normalized time Zn may be divided into appropriate intervals, and a plurality of body temperature data in each interval may be averaged. The appropriate interval corresponds, for example, to about 5 minutes to 1 hour of real time. The interval of the interval of the normalized time Zn may be determined as needed based on the average sleep time of the overlapped data for a plurality of days, or may be determined in advance as a fixed interval by a user's setting operation. In the case of 7 hours of sleep, 5 minutes to 1 hour of real time corresponds to 1 / 84 to 1 / 7 in the normalized time Zn.

[0048] The change pattern of the body temperature at each normalized time Zn obtained as above is made into a mathematical model. As described above, the change in the body temperature measurement value Tm during sleep is a drop and then a rise, so the mathematical formula can be a quadratic or higher function or an irrational function. If the shape of the function becomes too complicated, it is easy to become overfitted, so the mathematical model can be determined within an appropriate range of degrees.

[0049] In the modeling, the coefficients of the model function may be determined so that the sum of squares of the difference between the body temperature at each obtained normalization time Zn and the body temperature corresponding to each normalization time Zn in the model is minimized. Since the calculation formula of the coefficients that satisfy this condition is well known, the calculation formula may be stored in advance and the coefficients may be directly obtained. Alternatively, if each coefficient can be limited to a certain range, the body temperature by the model may be calculated in a brute force manner within the range, the sum of squares of the difference may be obtained, and the minimum value of the sum of squares may be specified. In addition, the coefficients may be changed in a direction in which the sum of squares of the difference becomes smaller from a set of coefficients of a certain initial value using a gradient method, and the set of coefficients of the model may be specified by asymptotically approaching the minimum value of the sum of squares. Since the temperature of the user's wrist W is continuously obtained while being partially deleted as described above, the information processing device 1 can more easily obtain a continuous change pattern of the body temperature, etc., without having to measure the temperature at a normal temperature measurement location many times. By obtaining a temperature change pattern in this way, the user can more appropriately grasp the state of the body, etc.

[0050] The change pattern models obtained in the above manner are specified while shifting the change target date, thereby obtaining monthly changes in the change pattern, and further seasonal changes, etc. Monthly changes are useful for, for example, managing the physical condition of women.

[0051] Fig. 5 is a diagram for explaining the temperature measurement control process executed by the CPU 51 of the measurement device 5 of this embodiment. Fig. 5(a) is a diagram for explaining a structure for storing acquired data. Fig. 5(b) is a flowchart showing the control procedure of the temperature measurement control process.

[0052] As shown in FIG. 5(a), in the measurement device 5, data measured at a certain measurement time Zt by the first sensor 551a, the second sensor 551b, and the external temperature sensor 552 of the arm temperature sensor 551 are stored in elements T1, T2, and To of a structure dat together with the measurement time Zt. The structure dat is array data. Each time measurement data is acquired, the array number i is incremented by one. The structure data dat is stored in the memory 52. ​​The capacity of the memory 52 may be such that it is possible to store one to several days' worth of measurement data during a sleep time of half a day or less. The structure dat may further include an element for storing a normalized time Zn, and an element for storing a deep temperature Tb of the wrist W.

[0053] The temperature measurement control process shown in FIG. 5(b) may be automatically started at a certain timing every day before the user's usual bedtime, for example. The start time may be dynamically set based on a bedtime acquired in the past, or may be set as a fixed time. The setting may be, for example, set to 20:00 as an initial value, or the time set by the user through an input operation on the information processing device 1 may be acquired by the communication unit 53. Alternatively, the temperature measurement control process may be started by the user through a predetermined input operation on the measuring device 5 before going to bed.

[0054] When the temperature measurement control process is started, the CPU 51 sets the variable i to "0" as an initial value (S1). The variable i is an integer that represents the array number of the structure as described above. The variable i may be defined as an unsigned integer.

[0055] The CPU 51 determines whether the user wearing the measuring device 5 has gone to sleep (S2). The determination of whether the user has gone to sleep may be performed based on the measurement data of the pulse sensor 553 and / or the acceleration sensor 554, as described above.

[0056] If it is determined that the user is not asleep (S2; N), the CPU 51 repeats the process S2. If it is determined that the user has gone to sleep, that is, while the user is asleep (S2; Y), the CPU 51 acquires the surface temperature T1, the outer temperature T2, and the outer temperature To measured by the arm temperature sensor 551 and the external temperature sensor 552 together with the measurement time Zt at set intervals (S3). Note that the measurement operation of the arm temperature sensor 551 and the external temperature sensor 552 may be started after it is determined that the user has gone to sleep, or may be started together with the start of the temperature measurement control process. The CPU 51 stores each acquired value in each element of the structure dat[i] (S4). The CPU 51 adds 1 to the variable i (S5).

[0057] The CPU 51 determines whether the user has woken up (S6). The determination of whether the user has woken up may be performed based on the measurement data of the pulse sensor 553 and / or the acceleration sensor 554, in the same manner as the determination of whether the user has woken up (S6; N). If it is determined that the user has not woken up (S6; N), the process of the CPU 51 returns to process S3.

[0058] If it is determined that the user has woken up (S6; Y), the CPU 51 assigns the value of the variable i to the number of pieces of measurement data N (S7). Note that, if the measurement device 5 is connected for communication with the information processing device 1, the CPU 51 may transmit the data of the structure dat together with the number of pieces of measurement data N and the date information of the measurement to the information processing device 1. Then, the CPU 51 ends the temperature measurement control process.

[0059] FIG. 6 is a flowchart showing a control procedure of the temperature change pattern calculation control process executed by the CPU 11 of the information processing device 1 of this embodiment. This temperature change pattern calculation control process including the information processing method of this embodiment may be executed as soon as the data of the structure dat is acquired from the measurement device 5. Alternatively, this temperature change pattern calculation control process may be executed automatically at a predetermined timing after the data of the structure dat is acquired.

[0060] The CPU 11 acquires the data of the data structure dat already received from the measurement device 5 and the number N of measurement data (S11). The CPU 11 calculates the deep temperature Tb of the wrist W from the pair of elements T1 and T2 for each array j of the structure dat, and stores the calculation result in dat[j].Tb (S12). Note that the deep temperature Tb may be calculated in approximately real time by the measurement device 5 and stored in advance in dat[j].Tb. In this case, the process S12 is omitted. Alternatively, when the structure dat does not have the elements Tb and Tn, the CPU 11 may separately set a structure having the elements Tb and Tn and having an array number N of the measurement data.

[0061] The CPU 11 determines the difference between the measurement times of the first array element (j=0) and the last array element (j=N-1) of the structure dat as the sleep time ZL, and calculates ZL=dat[N-1].Zt-dat[0].Zt. The CPU 11 normalizes the measurement time dat[j].Zt of each array element (S13). That is, the normalized time Zn is calculated as follows. dat[j].Zn=(dat[j].Zt-dat[0].Zt) / ZL … (Formula 1) The normalized time is stored in the element Zn of the structure dat. Alternatively, the CPU 11 may store the normalized time in a separately set structure as described above.

[0062] The CPU 11 sets the data of the array elements whose normalized time dat[j].Zn is equal to or less than the initial time Zth as exclusion target 1 (S14). The initial time Zth is, for example, 1 / 7 as described above.

[0063] The CPU 11 sets, as exclusion targets 2, array elements j in which the difference between the deep temperature dat[j].Tb of the wrist W and the external temperature dat[j].Tо is greater than the reference temperature difference dTth (S15).

[0064] The CPU 11 sets the array elements set as the exclusion targets 1 and 2 from the measurement time dat[je].Zt until the specified time Zp has elapsed as data within the transition time as the exclusion targets (S16). The array elements that meet the above criteria satisfy the following formula 2. dat[je].Zt≦dat[j].Zt≦dat[je].Zt+Zp … (Formula 2) This condition is applied based on the original measurement time, not the normalized time. The above-mentioned processes S14 to S16 correspond to the operation of the determination section of this embodiment (the determination means of the program 131).

[0065] The CPU 11 selects data of the array element j that is not subject to exclusion, and aggregates (selectively acquires) it into a structure dats having the same structure as the structure dat (S17; acquisition unit, acquisition means). The CPU 11 converts the deep temperature Tb of each array element j of the aggregated structure dats into body temperature (S18; conversion unit). The conversion formula may be calculated in advance by a regression equation or machine learning using temperature measurements at other specific positions as described above, and may be stored and held in the storage unit 13.

[0066] The CPU 11 acquires data of the structure dats for a specified number of days (multiple days) around the target date for calculating the body temperature change pattern (S19). The specified number of days may be, for example, a total of six days, ±3 days. When measurement data from a day beyond the calculation target date is used, the following processing may be performed after the measurement data from the future day is acquired. For example, processing S19 may be performed three days after the calculation target date. Alternatively, in processing after processing S19, data for six days prior to the measurement date of the data processed up to processing S18 may be acquired, and the three days prior may be set as the calculation target date.

[0067] The CPU 11 divides the normalized time Zn in the data of the structure dats for multiple days into specified intervals. The specified interval is, for example, 1 / 84 to 1 / 7 as described above. This specified interval may be variably set depending on the number of data and the degree of variation in the acquired normalized time Zn. The CPU 11 calculates the average body temperature corresponding to the array elements in each division (S20).

[0068] The CPU 11 calculates the change pattern of the body temperature with respect to the normalized time based on the data of the normalized time corresponding to each section and the average body temperature of the section (S21). The normalized time corresponding to each section is, for example, the normalized time at the center of each section. The calculation of the change pattern is performed by determining the set of coefficients that minimizes the least square error in the preset function as described above. The processes in steps S13 and S19 to S21 correspond to the operation of the identifying unit in this embodiment.

[0069] CPU 11 stores the calculation result in storage unit 13 in association with the calculation date (S22). If the measurement device 5 is also capable of displaying the calculation result of the change pattern, CPU 11 may transmit the parameters of the change pattern to measurement device 5 via communication unit 14 at an appropriate timing. Then, CPU 11 ends the change pattern calculation control process.

[0070] In addition, there may be cases where the temperature clearly deviates from the normal temperature change pattern due to fever caused by illness. The CPU 11 may determine that there is an abnormal physical condition or measurement abnormality when the average value of the wrist W temperature or body temperature in the data of the structure dats is higher than the average value of these temperatures obtained from the most recent change pattern by a reference value or more. In this case, the CPU 11 may end the temperature change pattern calculation control process midway without performing the process S19 and subsequent processes. The CPU 11 may also cause the display unit 15 to perform a comparative display in which the individual body temperatures obtained in process S18 are plotted together with the most recent temperature change pattern, for example.

[0071] [Second embodiment] The method for determining whether the wrist is not covered by bedding or is within the transition time is not limited to the method of the first embodiment.

[0072] For example, it may be determined whether the wrist is covered with bedding without using the measurement result of the external temperature To. For example, a value obtained by subtracting a tolerance from a representative value such as the average temperature of the user's wrist measured in the past, that is, a value on the low temperature side, is set as the reference value Tth2. The information processing device 1 may determine that the state in which the user's arm (wrist) is covered with bedding is maintained on the condition that the obtained wrist temperature is equal to or higher than the reference value Tth2 (within the reference range). In this case, it is necessary that the state to be determined is distinguished from a room in which the temperature is appropriately adjusted by an air conditioner. Therefore, the reference value Tth2 is at least 30°C or higher, and more preferably 31-32°C or higher.

[0073] In this case, the wrist temperature may be determined to be unstable after the wrist temperature reaches or exceeds the reference value Tth2 until a certain reference time has elapsed until the temperature stabilizes. In other words, the time during which the reference time is elapsed is included in the transition time. If the wrist temperature remains at or above the reference value Tth2 for the reference time after the wrist temperature reaches or exceeds the reference value Tth2, the wrist temperature may be determined to be stable. In this case, the reference time depends on the magnitude of the tolerance, but may be the same as the above-mentioned specified time Zp or may be different from it. Alternatively, the determination condition may further include that the change in the wrist temperature is small. For example, the condition for stability may be determined by the logical product of the following two conditions: (1) The latest wrist temperature obtained is the difference between the average value of the most recent multiple wrist temperatures and within the reference range. (2) The variance (standard deviation) of the most recent multiple wrist temperatures is equal to or less than the upper limit.

[0074] The measuring device 5 of the second embodiment does not necessarily have to include the external temperature sensor 552.

[0075] FIG. 7 is a flowchart showing a control procedure of the change pattern calculation control process according to the second embodiment. In this change pattern calculation control process, the process S15 in the temperature change pattern calculation control process of the first embodiment shown in Fig. 6 is changed to process S15a. The other processes are the same, and the same process contents are assigned the same reference numerals. Detailed explanations of the same process contents are omitted.

[0076] After step S14, the CPU 11 sets the data of the array element j whose deep temperature Tb (or surface temperature T1) is lower than the reference value Tth2 as exclusion target 2 (S15a). Then, the process of the CPU 11 proceeds to step S16.

[0077] [Third embodiment] Instead of the wrist temperature, the external temperature To may be used to determine the state of being covered in bedding and stable. In this case, as shown in the first embodiment, the external temperature To is usually likely to be lower than the wrist temperature. Therefore, the reference value Tth2a is set to a value approximately equal to the reference value Tth2 minus the reference temperature difference dTth. In this case, too, the state to be determined needs to be distinguished from a room in which the temperature is appropriately adjusted by an air conditioner. Therefore, the reference value Tth2a is at least 30°C or higher, and more preferably 31-32°C or higher.

[0078] Moreover, the external temperature To changes to the outside temperature faster than the wrist temperature. Therefore, depending on the temperature of the part covered by the bedding B, the external temperature To may temporarily catch up with or exceed the wrist temperature. That is, even if the wrist temperature becomes equal to or exceeds the reference value Tth2a, the wrist temperature may still be rising and may not be stable. In this embodiment, the information processing device 1 determines that the external temperature To is not in a stable state until the reference delay time Zd (a certain delay time) has elapsed from the time when the external temperature To is equal to or higher than the reference value Tth2a and the rate of change dTv of the external temperature To becomes equal to or lower than the reference rate of change dTvh. That is, the time during which the reference delay time Zd is elapsed is within the transition time. The reference delay time Zd is equal to or shorter than the specified time Zp.

[0079] The rate of change dTv can be calculated, for example, by using the previous and next external temperatures To and the measurement time Zt, as shown in Equation 3 below. dTv=(dat[j+1].To-dat[j-1].To) / (dat[j+1].Zt-dat[j-1].Zt) … (Formula 3) Alternatively, the rate of change dTv thus obtained may be further moved and averaged using a number of values ​​before and after the rate of change dTv.

[0080] 8 is a flowchart showing a control procedure of a temperature change pattern calculation control process of the third embodiment. In this temperature change pattern calculation control process, the process S15 in the temperature change pattern calculation control process of the first embodiment is changed to processes S15b1 to S15b2. Also, the process S16 is changed to process S16b. Process S16b is located before processes S15b1 and S15b2. The other processes are the same, and the same process contents are assigned the same reference numerals.

[0081] After process S14, CPU 11 sets the array elements set as the exclusion target 1 from the measurement time dat[je].Zt until the specified time Zp has elapsed as the exclusion target (S16b). The data to be excluded is data within the transition time.

[0082] CPU 11 sets as exclusion target 2 the data of array elements where the external temperature To is less than the reference value Tth2a or the rate of change dTv of the external temperature To is greater than the reference rate of change dTvh (S15b1). CPU 11 sets as exclusion targets the array elements from the measurement time dat[je].Zt of the array elements set as exclusion target 2 until the reference delay time Zd has elapsed (S15b2). These array elements to be excluded are data within the transition time. Then, CPU 11 proceeds to process S17.

[0083] [Fourth embodiment] FIG. 9 is a diagram showing the configuration of a body temperature measuring system 100c according to the fourth embodiment. The body temperature measurement system 100c includes a photographing device 6 (photographing unit) in addition to the information processing device 1 and the measurement device 5. The photographing device 6 may be capable of photographing the arm of the user of the measurement device 5 with sensitivity and resolution that can identify the arm of the user even in a room at night with the lights turned off. The photographing device 6 may be, for example, an infrared camera or a high-sensitivity visible light camera. The photographing device 6 may be an independent device located in a bedroom. Alternatively, the photographed image of the photographing device 6 attached to another electronic device, for example, an air conditioner, may be used and transmitted to the information processing device 1. The photographed image may be a still image continuously photographed at a predetermined interval, or may be a video photographed at a certain frame rate. The movement of the wrist, which is the detection target, is small during normal sleep. Therefore, the photographing interval may be longer than the frame interval of a general video (such as 1 / 20 sec), and may be, for example, two digits (5 seconds) or more longer.

[0084] The photographing device 6 is communicatively connected to the information processing device 1 via, for example, a communication line. The communication line may be wired or wireless. Alternatively, the photographing device 6 may be directly connected to the information processing device 1 as a peripheral device of the information processing device 1. Images photographed by the photographing device 6 may be transmitted to the information processing device 1 in approximately real time. If there is a difference between the photographing time and the transmission time, information on the photographing time is added to the photographed image. The information on the photographing time may be only the timing at the beginning of the photographed image.

[0085] The CPU 11 of the information processing device 1 may use a known image recognition technique or the like to determine whether the user's arm, particularly the wrist, is covered with bedding. It is not necessary to determine whether the wrist is directly captured in the captured image. Even if the wrist is in the shadow of the body and is not captured, it may be inferred whether the wrist is covered with bedding from the position and orientation of the arm.

[0086] The above-mentioned determination operation regarding the photographing result of the photographing device 6 may be executed by a computer other than the information processing device 1. The determination result is transmitted from that computer to the information processing device 1.

[0087] In this case, the timing when the arm is covered with the bedding is the starting point of the transition time. In this embodiment, the transition time is also treated as the above-mentioned specified time Zp. However, this timing when the arm is covered with the bedding may be earlier than the timing when the temperature difference between the external temperature To and the surface temperature T1 becomes equal to or less than the reference value in the first embodiment. Therefore, the transition time may be set to be longer than the specified time Zp.

[0088] Furthermore, the images captured by the photographing device 6 may be used not only to determine whether the wrist is covered by bedding, but also to determine whether the user has gone to sleep or woken up. In this case, the captured images are sent to the information processing device 1 in approximately real time, and a determination process is performed sequentially. When the user has been determined to have gone to sleep or woken up, the determination result is promptly sent from the information processing device 1 to the measuring device 5.

[0089] FIG. 10 is a flowchart showing a control procedure of the temperature change pattern calculation control process executed by the CPU 11 of the information processing device 1 in the body temperature measuring system 100c of this embodiment. In this temperature change pattern calculation control process, the process S15 in the temperature change pattern calculation control process of the first embodiment is replaced with processes S15c1 to S15c4. The other processes are the same, and the same process contents are denoted by the same reference numerals. The changed processes will be described below.

[0090] After the process S14, the CPU 11 acquires photographed image data of the user while sleeping (S15c1). The CPU 11 identifies an image corresponding to the normalized time of each array element of the structure dat. The CPU 11 identifies the user from each identified image by image recognition (S15c2).

[0091] The CPU 11 extracts an image of the user identified in each image in which the wrist is not covered by bedding (S15c3). As described above, the CPU 11 may extract an image in which it is possible to infer that the wrist is not covered by bedding even if the wrist is not directly shown in the image. The CPU 11 sets the data of the array element of the normalized time corresponding to the extracted image as the exclusion target 2 (S15c4). Then, the processing of the CPU 11 proceeds to processing S16. As described above, in processing S16, the transition time may be set to be longer than the specified time Zp for the array element of the exclusion target 2. When the specified time Zp for the array element of the exclusion target 1 and the transition time for the array element of the exclusion target 2 are set separately, the data of the array element until the specified time Zp has passed after the exclusion target 1 is excluded. Also, the data of the array element until the separately determined transition time has passed after the exclusion target 2 is excluded.

[0092] As described above, the information processing device 1 of this embodiment includes the CPU 11. The CPU 11, as a discrimination unit, discriminates whether the wrist W of the subject (user) from which the body temperature is to be acquired is in a stable state in which the heat dissipation state below a reference level continues. The CPU 11, as an acquisition unit, selectively acquires the temperature of the wrist W based on the temperature measurement value obtained by the arm temperature sensor 551 of the measurement device 5 worn on the wrist W during the period in which the wrist W is determined to be in a stable state. In this way, when the temperature of the wrist W is close to the ambient temperature and is stable with little heat dissipation to the outside, the temperature of the wrist W is likely to reflect the body temperature. Therefore, the user simply wears a measuring device on the wrist W and continuously measures the temperature, and the information processing device 1 can selectively obtain appropriate data from this temperature measurement data. Therefore, the information processing device 1 can more easily obtain continuous data of the measured temperature that appropriately reflects the body temperature. Furthermore, the data obtained in this way makes it easy to obtain the time-varying pattern of the body temperature with little error.

[0093] Furthermore, the CPU 11 may determine, as a discrimination unit, that the wrist W is in a stable state when it is determined that the wrist W continues to be covered with bedding while the user is sleeping. When the user is sleeping, the information processing device 1 can easily obtain temperature data of the wrist W while eliminating inappropriate data, without the user having to spend time on measurement.

[0094] Also, the CPU 11 may, as a discrimination unit, acquire the external temperature To around the wrist W, and determine that the wrist W is in a stable state when the difference between the external temperature To and the temperature of the wrist W (surface temperature T1 or deep temperature Tb) is stable at a reference value or less. In a state where the wrist W is covered with bedding B such as a comforter, the external temperature To continues to be stable at a temperature close to body temperature. On the other hand, when the wrist W is temporarily not covered with the bedding B during sleep, the difference between the external temperature To and the temperature of the wrist W becomes large. Even if the wrist W returns to a state where it is covered with the bedding B, it takes time for the part covered with the bedding B to return to a temperature about body temperature near the wrist W and for the wrist W to stabilize at this temperature. Therefore, by using this difference value to determine the stable state, the information processing device 1 can determine that the wrist W is continuing to be covered with the bedding B.

[0095] Furthermore, the CPU 11, as a discrimination unit, may further determine that the state is not stable from the time when the difference value becomes equal to or less than the reference value until a certain specified time Zp has elapsed. Depending on the temperature of the part of the wrist W (arm A) covered by the bedding B when the wrist W (arm A) temporarily returns from being uncovered by the bedding B to being covered, the temperature of the wrist W may be lower than that of the part covered by the bedding B. In this case, the difference value may become small before the temperature of the wrist W stabilizes. Therefore, by further setting the specified time Zp as the transition time, the information processing device 1 can selectively acquire temperature data of the wrist W when the temperature of the wrist W is stable near body temperature more reliably.

[0096] Furthermore, the CPU 11 may act as a discrimination unit and set a representative value of the temperature of the wrist W of the same user obtained in the past, and discriminate that the wrist W is in a stable state when the temperature of the wrist W based on the temperature measurement value is stable within a reference range from the representative value. Since body temperatures differ from user to user, it is not easy to determine that the wrist W is in a stable state in which it is continuously covered by the bedding B with a uniform temperature setting. Therefore, by using a representative wrist W temperature of the same user as a reference, it is possible to more reliably discriminate that the user's wrist W (arm A) is continuously covered by the bedding B.

[0097] Furthermore, the CPU 11 may function as a discrimination unit and determine that the temperature of the wrist W is not in a stable state until a certain reference delay time Zd has elapsed since the temperature of the wrist W was not within a reference range from the representative value. As in the case of using the difference between the external temperature To and the temperature of the wrist W, even a determination using the temperature of the wrist W is affected by daily and monthly changes in the body temperature of the user and changes in physical condition. Therefore, by considering not only that the temperature of the wrist W is within the reference range but also that a stable temperature with little change has been obtained, the information processing device 1 can selectively obtain the temperature of the wrist W that reflects the body temperature more reliably.

[0098] Moreover, the CPU 11, as a discrimination unit, acquires a captured image from the photographing device 6 capable of photographing the user while sleeping. The CPU 11 may determine that the state is stable as follows: (1) Determine whether or not the wrist W is covered by bedding in the captured image for a certain transition time or longer. (2) If the covered state continues for a certain transition time or longer, determine that the state is stable. This enables the information processing device 1 to determine whether or not the user's wrist W is covered by the bedding B more directly based on visual information.

[0099] Furthermore, the CPU 11 may function as a discrimination unit and determine that the state is not stable from when the user goes to bed until a certain initial time Zth has elapsed. Until the user goes to bed, the part covered by the bedding B is not warmed by body heat, so it takes time for the external temperature To around the wrist W to rise to a temperature close to body heat. Therefore, by setting the initial time Zth from when the user goes to bed, it is possible to easily eliminate such a period in which it is difficult to obtain the temperature of the wrist W that reflects the body heat.

[0100] The body temperature measuring system 100 of this embodiment may be integrally provided with the configuration of the information processing device 1 described above and a measuring unit 55 (arm temperature sensor 551) that measures the temperature of the wrist W. With such an integrated device, the device can easily selectively obtain appropriate data reflecting the body temperature from the measurement data of the temperature of the wrist W without considering the effort of communication connection.

[0101] In addition, the information processing method of this embodiment determines whether the wrist W of the user acquiring the body temperature is in a stable state in which the heat dissipation state below the standard continues, and selectively acquires the temperature of the wrist W based on the temperature measurement value obtained by the arm temperature sensor 551 attached to the wrist W during the period in which it is determined to be in a stable state. According to this information processing method, data is selectively acquired when the temperature of the wrist W is close to the temperature of the surroundings and is stable in a state in which there is little heat dissipation to the outside. In such a stable state, the temperature of the wrist W is likely to reflect the body temperature. Therefore, the user can simply wear a measuring device on the wrist W and continuously measure the temperature, and appropriate data can be extracted and acquired from this temperature measurement data. Therefore, this information processing method makes it easier to obtain continuous data of the measured temperature that appropriately reflects the body temperature. Furthermore, the acquired data makes it easy to obtain the body temperature and its change over time with little error.

[0102] Moreover, by installing and executing the program 131 relating to the above-described information processing method in a computer, it is possible to easily selectively obtain temperature data of the wrist W that reflects the body temperature.

[0103] The present invention is not limited to the above-described embodiment, but may be modified in various ways. For example, in the above, the data to be excluded is set by the information processing device 1 after the measurement is completed, but this is not limited to the above. When the deep temperature Tb is measured in real time as described above, the deep temperature Tb and the external temperature To may also be compared. In this case, the data to be excluded 2 and within the transition time may be deleted as they are and not stored in the structure dat. The setting of the excluded target 1 may be determined based on the normalized time after the measurement is completed, as described above. Alternatively, if the initial time Zth is also determined by the original time width instead of the normalized time, as described later, the measurement data during the excluded target 1 may not be stored in the structure dat. This reduces memory usage.

[0104] In this case, the data during the transition time is basically not necessary. Therefore, during the period of exclusion target 2 or the period determined to be within the transition time, the sampling rate of the measurements by arm temperature sensor 551 and external temperature sensor 552 may be reduced. Furthermore, during the transition time, the time until the transition time elapses is also predetermined, so the measurement interval may be extended. This reduces the operational load. Even if data is stored, the data volume can be reduced. In this case, it is necessary for measurement device 5 to hold information on the data measurement time at the timing when the sampling rate changed.

[0105] In the above, the deep temperature Tb of the wrist W is calculated from the surface temperature T1 and the outer temperature T2 of the wrist W, and then the deep temperature Tb is converted into the body temperature, but this is not limited to the above. The surface temperature T1 of the wrist W may be converted directly into the body temperature. The converted body temperature may be the deep body temperature Td or a temperature close to the deep body temperature Td that is generally measured. Such measured temperatures include, for example, the axillary temperature, the sublingual temperature, and the rectal temperature. The conversion formula may be appropriately determined depending on the conversion source and the conversion destination. When the deep temperature Tb is not used, the measurement device 5 does not need to have the second sensor 551b.

[0106] In the above, the initial time Zth to be excluded 1 is set to 1 / 7 of the normalized time, but is not limited to this. The initial time Zth may also be set to, for example, 1 hour based on the elapsed time from the bedtime at the original measurement time. Alternatively, the initial time Zth may be changed according to the initial value of the external temperature To, that is, approximately the room temperature, etc. If the external temperature To has not been measured, the initial time Zth may be changed based on the date, etc. At this time, the initial time Zth may be further changed according to the setting information of the user's residential area, etc.

[0107] In the above, the stable state is not reached until the specified time Zp has elapsed after the initial time Zth has elapsed, but this is not limited to the above. An initial time that is a combination of the initial time Zth and the specified time Zp may be set.

[0108] In the above-mentioned temperature change pattern calculation control process, the normalized time is divided into sections, the average armpit temperature is calculated for each section, and then the change pattern is obtained based on these average values. However, the calculation method of the change pattern is not limited to this. For example, the process S20 may be omitted, and the change pattern may be obtained based on each normalized time and armpit temperature.

[0109] In the above, the temperature of the wrist W is converted into body temperature, and then the pattern of change in body temperature over time is identified, but this is not limited to the above. The pattern of change in temperature of the wrist W over time may be obtained, and then this pattern of change in temperature may be converted into the pattern of change in body temperature over time.

[0110] In addition, there may be cases where the amount of heat generated by the measuring device 5 due to the operation of the CPU 51, memory 52, and measuring unit 55, and the heat capacity of the internal parts, which are ignored above, cannot be ignored. In this case, the heat flow can be calculated by taking into account the amount of heat generated and the heat capacity of the measuring device 5.

[0111] Furthermore, the measuring device 5 does not have to be a dedicated device for measuring the temperature of the wrist W. For example, the measuring device 5 may be an electronic watch, an activity meter, a smart watch, or the like, which is a general electronic device worn on the wrist W. The measuring device 5 may have a configuration necessary for the functions of these electronic devices.

[0112] In the above description, a dedicated structure is set up to store the data, but this is not limiting. The data may be stored as a simple one-dimensional array or two-dimensional array of data.

[0113] The above information processing method is not limited to data collected during sleep. Even when the user is intentionally keeping the upper body, including the wrist W, warm and at rest, it is possible to selectively obtain appropriate data on the temperature of the wrist W.

[0114] In addition, the configurations and processing contents shown in the above embodiments may be combined in any manner as long as they are not contradictory to each other. The combination of judgment conditions may be a logical AND or a logical OR.

[0115] In the above description, the storage unit 13 is exemplified by a non-volatile memory such as a flash memory as a computer-readable medium for storing the program 131 related to the temperature change pattern calculation control of the present invention, but is not limited thereto. As other computer-readable media, other non-volatile memories such as MRAM, HDDs, and portable recording media such as CD-ROMs and DVD disks can be applied. In addition, a carrier wave is also applied to the present invention as a medium for providing data of the program according to the present invention via a communication line. In addition, the specific configurations, contents and procedures of the processing operations, etc. shown in the above embodiments can be modified as appropriate without departing from the spirit of the present invention. The scope of the present invention includes the scope of the invention described in the claims and its equivalents. [Explanation of symbols]

[0116] 1. Information processing device 11 CPU 12 RAM 13 Storage section 131 Programs 14 Communications Department 15 Display 16 Operation reception section 5. Measurement equipment 51 CPU 52 Memory 53 Communications Department 54 ADC 55 Measurement section 551 Arm Temperature Sensor 551a First Sensor 551b Second Sensor 551c Thermal Conductive Material 551i Insulation 552 External Temperature Sensor 553 Pulse Sensor 554 Acceleration Sensor 56 Operation reception section 6. Imaging Device 100 Body Temperature Measurement System 100c Body Temperature Measurement System A Arm B Bedding N Number of measurement data T1 surface temperature T2 Outside temperature Tb core temperature Td Core body temperature Tm Body temperature measurement To external temperature U User ZL Sleep time Zd Reference Delay Time Zn normalized time Zp Specified Time Zt Measurement time Zth initial time dTth Reference temperature difference dTv rate of change dTvh Reference rate of change

Claims

1. A discrimination unit that discriminates whether the wrist of the subject to be measured is in a stable state where heat dissipation below a standard continues; an acquisition unit that selectively acquires a temperature of the wrist based on a temperature measurement value obtained by a temperature measurement unit attached to the wrist during the period in which the stable state is determined; An information processing device comprising:

2. The information processing device according to claim 1 , wherein the determining unit determines that the subject is in the stable state when it is determined that the subject continues to have the wrist covered with bedding while sleeping.

3. The information processing device according to claim 1 , wherein the determination unit acquires an external temperature around the wrist, and determines that the state is stable when a difference between the external temperature and the temperature of the wrist is stable at or below a reference value.

4. The information processing apparatus according to claim 3 , wherein the determining unit further determines that the stable state is not reached until a prescribed time has elapsed since the difference value became equal to or smaller than the reference value.

5. The information processing device according to claim 1 , wherein the discrimination unit sets a representative value of the subject's wrist temperature obtained in the past, and determines that the subject is in the stable state when the wrist temperature based on the temperature measurement value stabilizes within a reference range from the representative value.

6. The information processing device according to claim 5 , wherein the determination unit determines that the state is not stable until a certain delay time has elapsed since the wrist temperature is not within the reference range from the representative value.

7. The discrimination unit is Acquire a photographed image from an imaging unit capable of photographing the subject while sleeping; determining whether the wrist is covered by the bedding in the captured image for a certain transition time or more; when it is determined that the covered state continues for the transition time or more, it is determined that the stable state exists.

2. The information processing device according to claim 1.

8. The information processing device according to claim 1 , wherein the determining unit determines that the subject is not in the stable state until a certain initial time has elapsed since the subject went to sleep.

9. An information processing device according to any one of claims 1 to 8; A measurement unit that measures the temperature of the wrist; A temperature measuring device comprising:

10. Determine whether the wrist of the subject whose body temperature is to be acquired is in a stable state where heat dissipation below a standard continues; selectively acquiring a temperature of the wrist based on a temperature measurement value obtained by a temperature measuring unit attached to the wrist during the period in which the stable state is determined; Information processing methods.

11. Computer, A determination means for determining whether or not the wrist of the subject from which the body temperature is to be acquired is in a stable state in which heat dissipation below a standard continues; an acquisition means for selectively acquiring a temperature of the wrist based on a temperature measurement value obtained by a temperature measuring unit attached to the wrist during the period in which the stable state is determined; A program that functions as a

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