JP6738600B2 - Estimating apparatus, estimating method, and estimating program - Google Patents

Description

The present invention relates to an estimation device, an estimation method, and an estimation program.

Conventionally, a technique for estimating a predetermined event using a plurality of types of data has been provided. For example, there is provided a technique for estimating indoors and outdoors using a plurality of types of sensor data.

JP, 2013-253927, A

However, in the above-mentioned conventional technique, it is not always possible to appropriately estimate the timing when a predetermined event occurs. For example, when position information is continuously acquired at a high frequency (short interval) by a GPS (Global Positioning System) sensor for seamless estimation of indoor and outdoor trajectories, power saving is not taken into consideration. The consumption is large and it is difficult to properly estimate the timing when a predetermined event occurs.

The present application has been made in view of the above, and an object thereof is to provide an estimation device, an estimation method, and an estimation program that appropriately estimate the timing at which a predetermined event occurs.

An estimating device according to the present application estimates an occurrence of a predetermined event based on the first information and an acquisition unit that acquires second information detected at a higher frequency than the first information, and the first information. And an estimation unit that estimates the timing at which the predetermined event occurs based on the second information.

According to one aspect of the first embodiment, it is possible to appropriately estimate the timing at which a predetermined event occurs.

FIG. 1 is a diagram illustrating an example of an estimation process according to the first embodiment. FIG. 2 is a diagram illustrating a configuration example of the terminal device according to the first embodiment. FIG. 3 is a diagram illustrating an example of the first information storage unit according to the first embodiment. FIG. 4 is a diagram illustrating an example of the second information storage unit according to the first embodiment. FIG. 5 is a flowchart showing an example of the estimation process according to the first embodiment. FIG. 6 is a diagram illustrating an example of the estimation process according to the modification. FIG. 7 is a diagram illustrating an example of the estimation process according to the modification. FIG. 8: is a figure which shows an example of the estimation process which concerns on a modification. FIG. 9 is a diagram illustrating an example of the estimation process according to the modification. FIG. 10 is a diagram illustrating an example of the estimation process according to the second embodiment. FIG. 11 is a diagram illustrating a configuration example of the estimation device according to the second embodiment. FIG. 12 is a diagram illustrating an example of the first information storage unit according to the second embodiment. FIG. 13 is a diagram illustrating an example of the second information storage unit according to the second embodiment. FIG. 14 is a flowchart showing an example of the estimation process according to the second embodiment. FIG. 15 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the estimation device.

Hereinafter, modes (hereinafter, referred to as “embodiments”) for carrying out the estimation device, the estimation method, and the estimation program according to the present application will be described in detail with reference to the drawings. It should be noted that the estimation device, the estimation method, and the estimation program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicated description will be omitted.

(First embodiment)
[1. Estimation process)
First, an example of the estimation process according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of an estimation process according to the first embodiment. In the present embodiment, the terminal device 10 (see FIG. 2) as the estimation device uses a GPS (Global Positioning System) sensor as the first sensor 111 (see FIG. 2) and the second sensor 112 (see FIG. 2). The estimation process is performed using the illuminance sensor. In the example described below, the information detected by the first sensor 111 is the first information, and the information detected by the second sensor 112 is the second information.

In FIG. 1, the terminal device 10 uses, as the first information, information on the accuracy of position information detected by GPS (hereinafter, referred to as “GPS accuracy”) among the information detected by the first sensor 111. For example, although the terminal device 10 detects a numerical value such as an error of 10 m or an error of 1 km as the GPS accuracy, the terminal device 10 in FIG. "Low" is defined as "low", and "error" is defined as "high" when the error is less than a predetermined value. That is, in FIG. 1, the terminal device 10 uses, as the first information, information indicating which of two stages, GPS accuracy “low” and GPS accuracy “high”. The terminal device 10 uses a change between successive first information, that is, a change in GPS accuracy to detect a predetermined event.

Further, in FIG. 1, the terminal device 10 uses a change between successive second information, that is, a change in illuminance to detect a predetermined event. For example, the terminal device 10 determines that the second information has changed when the amount of change (the amount of change in illuminance) between consecutive pieces of second information is greater than or equal to a predetermined threshold value. In the following, the change in the second information may be a change related to a predetermined event.

The power consumption of the first sensor 111 is larger than that of the second sensor 112. That is, the power consumption required for the first sensor 111 to detect the first information once is larger than the power consumption required for the second sensor 112 to detect the second information once.

The terminal device 10 is an information processing device used by a user. The terminal device 10 is an estimation device that estimates the timing at which a predetermined event has occurred, based on the first information and the second information. The terminal device 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. Below, the terminal device 10 may be described as a user. That is, in the following, the user can be read as the terminal device 10.

In the example illustrated in FIG. 1, the timing at which the user who owns the terminal device 10 moves from the outdoor to the indoor is estimated as the timing at which the terminal device 10 causes a predetermined event, using the first information and the second information. The case is shown. That is, in the example shown in FIG. 1, the GPS accuracy changes from “high” to “low” when the user moves from outdoors to indoors, so the first information has high detection accuracy. Moreover, since the illuminance may change other than when the user moves indoors from outdoors, the second information has low detection accuracy. In other words, the first information is information with higher accuracy than the second information in estimating the timing of moving from the outdoor to the indoor. As described above, the terminal device 10 uses the first information having higher detection accuracy for the predetermined event than the second information.

The map information MP10 shown in FIG. 1 schematically indicates whether the user is outdoors or indoors. Further, in the map information MP10, the position of the terminal device 10 (the user who owns the terminal device) is indicated by user positions UL11 to UL16. If the user positions UL11 to UL16 are not distinguished, they may be the user position UL. Further, in the map information MP10, the outdoor OS 10 and the indoor IS 10 are separated by the boundary line BD10. That is, in the map information MP10, when the user position UL is located at the outdoor OS 10 (left side of the boundary line BD10), the user is located outdoors, and when the user position UL is located at the indoor IS 10 (right side of the boundary line BD10). , Indicates that the user is located indoors.

First, the first information and the second information shown in FIG. 1 will be described. In the example shown in FIG. 1, the first information is detected at a predetermined interval (hereinafter, referred to as “first interval SR1”). That is, the first sensor 111 detects the first information at the first interval SR1. Further, in the example shown in FIG. 1, the second information is detected at a predetermined interval shorter than the first interval SR1 (hereinafter, referred to as “second interval SR2”). That is, the second sensor 112 detects the second information at the second interval SR2. It should be noted that although not shown in the drawings, all vertical bars arranged at the second interval SR2 along the horizontal axis of the second information are the second information SD. As described above, in the terminal device 10, the first sensor 111 having high power consumption detects the first information at a longer interval than the second information 112 having low power consumption detects the second information. Accordingly, the terminal device 10 can suppress the number of times the first sensor 111, which consumes a large amount of power, detects the first information, and thus can suppress an increase in power consumption.

In FIG. 1, at time t11, the first sensor 111 detects the first information FD11 and the second sensor 112 detects the second information SD1. When the first information FD11 to FD14 are not distinguished, they may be the first information FD. If the second information SD1 and SD11 to SD13 are not distinguished, they may be referred to as the second information SD. Further, the first information FD and the second information SD in FIG. 1 indicate the detection timing at the time t, and the length of the first information FD and the length of the second information SD indicate the numerical value of the information. Not a thing. In FIG. 1, the first information FD illustrated by a dotted line (for example, the first information FD13) indicates the first information FD in which a change is detected, and the first information FD illustrated by a solid line (for example, the first information FD). FD11) indicates the first information FD for which no change is detected. Further, in FIG. 1, the second information SD (for example, the second information SD11) illustrated by the dotted line indicates the second information SD in which the change is detected, and the second information SD (for example, the second information SD illustrated by the solid line). The second information SD1) indicates the second information SD for which no change is detected.

Here, since the first information FD11 has the GPS accuracy “high”, the terminal device 10 determines that the first information FD does not change at time t11. Therefore, the terminal device 10 does not detect the movement from the outdoor to the indoor at the time t11 (step S11). Further, since the amount of change in the second information SD1 from the second information SD detected immediately before is less than the predetermined threshold value, the terminal device 10 determines that the second information SD has not changed at time t11. As shown in the map information MP10, the user at time t11 is located at the user position UL11, that is, the outdoor OS 10.

After that, at time t111 before the first interval SR1 elapses from time t11, the second information 112 is detected by the second sensor 112. Then, the terminal device 10 determines that there is a change in the second information SD11 because the amount of change in the second information SD11 from the second information SD detected immediately before is equal to or greater than a predetermined threshold value. As described above, the second information SD is information having relatively lower reliability than the first information FD in estimating the timing of moving from the outdoor to the indoor. Therefore, the terminal device 10 does not estimate that the user has moved from the outdoor to the indoor only by the change of the second information SD. For example, the terminal device 10 stores information indicating that the second information SD has changed at time t111 in the second information storage unit 142 (see FIG. 2). As shown in the map information MP10, the user at time t111 is located at the user position UL12, that is, the outdoor OS 10.

After that, at time t12 when the first interval SR1 has elapsed from time t11, the first information FD12 is detected by the first sensor 111. Since the first information FD12 has GPS accuracy “high”, the terminal device 10 determines that the first information FD does not change at time t12. Therefore, the terminal device 10 does not detect the movement from the outdoor to the indoor at the time t12 (step S12). As shown in the map information MP10, the user at time t12 is located at the user position UL13, that is, the outdoor OS 10.

After that, at time t121 before the first interval SR1 elapses from time t12, the second information 112 is detected by the second sensor 112. Then, the terminal device 10 determines that there is a change in the second information SD12 because the amount of change in the second information SD12 from the second information SD detected immediately before is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores, in the second information storage unit 142, information indicating that the second information SD has changed at time t121. As shown in the map information MP10, the user at time t121 is located at the user position UL14, that is, the indoor IS10.

After that, at time t13 when the first interval SR1 has passed from time t12, the first sensor 111 detects the first information FD13. Since the first information FD13 has a GPS accuracy of “low”, the terminal device 10 determines that the first information FD has changed at time t13. Specifically, in the terminal device 10, the first information FD changes from the GPS accuracy “high” of the first information FD12 to the GPS accuracy “low” of the first information FD13, and thus the first information FD at time t13. It is assumed that there is a change in FD. Therefore, it is assumed that the terminal device 10 detects the movement from the outdoor to the indoor at time t13 (step S13). As shown in the map information MP10, the user at time t13 is located at the user position UL15, that is, the indoor IS10.

As described above, the first information FD is information that is relatively more reliable than the second information SD in estimating the timing of moving from the outdoor to the indoor. Therefore, the terminal device 10 can estimate that the user has moved from the outdoor to the indoor due to the change in the first information FD. In this way, the terminal device 10 estimates the occurrence of the predetermined event based on the first information. However, since the first information is detected by the first sensor 111 at the first interval SR1, an error between 0 and less than the first interval SR1 is estimated as the timing of moving from the outdoor to the indoor. Occurs. Therefore, the terminal device 10, assuming that the user has moved from the outdoor to the indoor by time t13, performs the movement timing by using the second information SD detected before time t13. That is, the terminal device 10 performs retrospective estimation for estimating when the user has moved from the outdoor to the indoor before the time t13 (step S14).

In FIG. 1, the second information SD12 detected at time t121 before time t13 indicates that the second information SD has changed at time t121. Therefore, the terminal device 10 estimates the time t121 before the time t13 as the time when the user moves from the outdoor to the indoor (step S15). In this way, the terminal device 10 estimates the timing at which the predetermined event has occurred, based on the second information. Accordingly, the terminal device 10 can reduce the error in the estimation of the timing when the user moves from the outdoor to the indoor, to less than the second interval SR2. It should be noted that the terminal device 10 may estimate the time t13 as the time when the user moves from the outdoor to the indoor, when the change in the second information SD is not detected before the time t13.

After that, at time t131 before the first interval SR1 elapses from time t13, the second information SD13 is detected by the second sensor 112. Then, the terminal device 10 determines that there is a change in the second information SD13 because the amount of change in the second information SD13 from the second information SD detected immediately before is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores, in the second information storage unit 142, information indicating that the second information SD has changed at time t131. As shown in the map information MP10, the user at time t131 is located at the user position UL16, that is, the indoor IS10.

After that, at time t14 when the first interval SR1 has elapsed from time t13, the first information FD14 is detected by the first sensor 111. Since the first information FD14 has a GPS accuracy of "low", the terminal device 10 determines that the first information FD does not change at time t14. Therefore, the terminal device 10 does not detect the movement from the outdoor to the indoor at the time t14. As shown in the map information MP10, the user at time t14 is located at the user position UL16, that is, the indoor IS10.

As described above, the terminal device 10 uses the first information and the second information to reduce the timing at which the user moves from the outdoor to the indoor, that is, the error in the time estimation to less than the second interval SR2. Therefore, it is possible to appropriately estimate the timing when the user moves from the outdoor to the indoor. With this, the terminal device 10 can suppress the number of times the first sensor 111, which consumes a large amount of power, detects the first information by using the second information, and thus can suppress an increase in power consumption. That is, the terminal device 10 can appropriately estimate the timing when a predetermined event occurs.

The terminal device 10 may use the timing estimated by the estimation process when the user moves from outdoors to indoors as a life log of the user. Further, the terminal device 10 may transmit the timing estimated by the estimation process when the user moves from the outdoor to the indoor to the external information processing device. In this case, the external information processing device may be used to manage the number of users located in a predetermined area, etc., based on the received information about the timing at which the user moves from outdoors to indoors. For example, the external information processing device may provide a service that displays the number of users located in each area like a heat map, using the received information about the timing when the user moves from the outdoor to the indoor. Further, for example, the external information processing device may use the received information regarding the timing when the user moves from the outdoor to the indoor for the entrance management. Further, for example, the external information processing device may use the received information on the timing when the user moves from the outdoor to the indoor for attendance management.

In the above example, the terminal device 10 used by the user performs the estimation process, but the estimation process is performed by an external information processing device that acquires the first information and the second information from the terminal device 10. Good. For example, the estimation device 100 (see FIG. 11) having the function of performing the estimation process may perform the estimation process using the first information and the second information acquired from the terminal device 10.

[2. Configuration of terminal device]
Next, the configuration of the terminal device 10 according to the first embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the terminal device 10 according to the first embodiment. As shown in FIG. 2, the terminal device 10 includes a communication unit 11, a first sensor 111, a second sensor 112, an input unit 12, an output unit 13, a storage unit 14, and a control unit 15. ..

(Communication unit 11)
The communication unit 11 is realized by, for example, a communication circuit or the like. The communication unit 11 is connected to a predetermined communication network (not shown) in a wired or wireless manner, and transmits/receives information to/from an external information processing device.

(First sensor 111)
The first sensor 111 detects first information used for detecting occurrence of a predetermined event. For example, the first sensor 111 detects the first information from the information from outside the terminal device 10. For example, the first sensor 111 is realized by a GPS sensor. Note that the first sensor 111 may be plural. In addition, when the first information is acquired by a device other than the sensor, the terminal device 10 may not include the first sensor 111. For example, the terminal device 10 may have a camera (imaging unit) instead of the first sensor 111 when the image information captured by the camera function is the first information.

(Second sensor 112)
The second sensor 112 detects the second information. For example, the second information is detected. The second information, which is information detected at a higher frequency (shorter interval) than the first information and is used for detecting a change related to a predetermined event, is detected. For example, the second sensor 112 detects the second information from the information from outside the terminal device 10. In FIG. 2, the second sensor 112 is realized by an illuminance sensor. The second sensor 112 may be any sensor as long as it detects (detects) the second information at a frequency higher than that of the first information. For example, the second sensor 112 may be realized by a temperature sensor, a humidity sensor, a heartbeat (pulse) sensor, an acceleration sensor, a perspiration sensor, an exhalation (gas) sensor, a microphone, a beacon, or the like. Further, the second sensor 112 may be plural. In addition, when the second information is acquired by a device other than the sensor, the terminal device 10 may not have the second sensor 112. For example, the terminal device 10 does not need to include the second sensor 112 when the input information received by the input unit 12 is the second information. It should be noted that the first sensor 111 and the second sensor 112 show a conceptual distinction based on the difference in the detection frequency (interval), and whatever sensor is the first sensor 111 or the second sensor 112. Good. For example, the second sensor 112 may be a GPS sensor.

(Input unit 12)
Various operations are input from the user to the input unit 12. For example, the input unit 12 may receive various operations from the user via the display surface (for example, the output unit 13) by the touch panel function. Further, the input unit 12 may receive various operations from buttons provided on the terminal device 10 or a keyboard or a mouse connected to the terminal device 10.

(Output unit 13)
The output unit 13 is a display screen of a tablet terminal or the like realized by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various kinds of information.

(Storage unit 14)
The storage unit 14 is realized by a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. The storage unit 14 stores, for example, information about applications installed in the terminal device 10, such as programs.

(First information storage unit 141)
The first information storage unit 141 according to the first embodiment stores the first information. For example, the first information storage unit 141 stores the first information detected by the first sensor 111. FIG. 3 shows an example of the first information stored in the first information storage unit 141. As illustrated in FIG. 3, the first information storage unit 141 includes items such as “first information ID”, “detection time”, “accuracy”, “positional information”, “change”... As the first information. Have.

The “first information ID” indicates identification information for identifying the first information. The “detection time” indicates the time when the first information identified by the corresponding first information ID is detected. The "accuracy" indicates the GPS accuracy when the first information identified by the corresponding first information ID is detected. “Position information” indicates the position information corresponding to the first information identified by the corresponding first information ID. Further, “change” indicates whether the first information is changed by the first information identified by the corresponding first information ID.

For example, in the example shown in FIG. 3, the first information identified by the first information ID “FD11” (corresponding to “first information FD11” in FIG. 1) is detected at the detection time “t11”. Show. The “accuracy” of the first information identified by the first information ID “FD11” indicates that the GPS accuracy is “high”. Also, the position information corresponding to the first information identified by the first information ID “FD11” is “DL11”. The first information identified by the first information ID “FD11” indicates that the first information has not changed.

Further, for example, in the example shown in FIG. 3, the first information identified by the first information ID “FD13” (corresponding to “first information FD13” in FIG. 1) is detected at detection time “t13”. Indicates that. The "accuracy" of the first information identified by the first information ID "FD13" indicates that the GPS accuracy is "low". Also, the position information corresponding to the first information identified by the first information ID “FD13” is “DL13”. The first information identified by the first information ID “FD13” indicates that the first information has changed.

The first information storage unit 141 is not limited to the above, and may store various information according to the purpose. For example, the first information storage unit 141 may store a specific numerical value regarding accuracy.

(Second information storage unit 142)
The second information storage unit 142 according to the first embodiment stores the second information. For example, the second information storage unit 142 stores the second information detected by the second sensor 112. FIG. 4 shows an example of the second information stored in the second information storage unit 142. As shown in FIG. 4, the second information storage unit 142 has items such as “second information ID”, “detection time”, “illuminance”, “change amount”, “change”... As the second information. Have.

The “second information ID” indicates identification information for identifying the second information. The “detection time” indicates the time when the second information identified by the corresponding second information ID is detected. The “illuminance” indicates the value of the illuminance that is the second information identified by the corresponding second information ID. The “change amount” indicates the change amount in the second information identified by the corresponding second information ID. For example, the “change amount” indicates the change amount from the second information SD detected immediately before the second information identified by the corresponding second information ID. For example, the amount of change in the second information identified by the second information ID “SD122” is identified by the detected second information ID “SD12” of the second information identified by the second information ID “SD122”. The difference between the illuminance “IL12” of the second information and the illuminance “IL12” of the second information identified by the second information ID “SD122” is “0”. Further, "change" indicates whether or not the second information is changed by the second information identified by the corresponding second information ID.

For example, in the example shown in FIG. 4, the second information identified by the second information ID “SD1” (corresponding to the “second information SD1” in FIG. 1) is detected at the detection time “t11”. Show. The "illuminance" of the second information identified by the second information ID "SD1" is "IL1". In addition, the amount of change in the second information identified by the second information ID “SD1” is “AM1”. The second information identified by the second information ID “SD1” indicates that the second information has not changed.

Further, for example, in the example shown in FIG. 4, the second information identified by the second information ID “SD11” (corresponding to the “second information SD11” in FIG. 1) is detected at the detection time “t111”. Indicates that. The "illuminance" of the second information identified by the second information ID "SD11" is "IL11". Also, it indicates that the amount of change in the second information identified by the second information ID “SD11” is “AM11”. The second information identified by the second information ID “SD11” indicates that the second information has changed.

The second information storage unit 142 is not limited to the above, and may store various information according to the purpose.

(Control unit 15)
In the control unit 15, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like executes various programs stored in a storage device such as the storage unit 14 inside the terminal device 10 using the RAM as a work area. It is realized by For example, the various programs include an application program that performs estimation processing. Further, the control unit 15 is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 2, the control unit 15 includes an acquisition unit 151, an estimation unit 152, a transmission unit 153, and a display unit 154, and realizes or executes the functions and actions of the estimation process described below. .. Note that the internal configuration of the control unit 15 is not limited to the configuration shown in FIG. Further, the connection relationship between the processing units included in the control unit 15 is not limited to the connection relationship illustrated in FIG. 2 and may be another connection relationship.

(Acquisition unit 151)
The acquisition unit 151 acquires the first information and the second information that is detected more frequently than the first information. For example, the acquisition unit 151 is the first information used to detect a predetermined event and the second information that is information that is detected at a higher frequency than the first information and that is used to detect a change related to the predetermined event. And get. For example, the acquisition unit 151 acquires the first information having a higher detection accuracy for the predetermined event than the second information. Further, for example, the acquisition unit 151 acquires the first information detected by the predetermined sensor and the second information detected by the sensor other than the predetermined sensor. For example, the acquisition unit 151 acquires the first information indicating the accuracy of the position information detected by the GPS sensor and the second information detected by the sensor other than the GPS sensor. For example, the acquisition unit 151 acquires the first information from the first sensor 111. Further, for example, the acquisition unit 151 acquires the second information from the second sensor 112. For example, the acquisition unit 151 may store the first information acquired from the first sensor 111 in the first information storage unit 141. Further, for example, the acquisition unit 151 may store the second information acquired from the second sensor 112 in the second information storage unit 142. Further, the acquisition unit 151 may acquire various information from an external information processing device. For example, the acquisition unit 151 may acquire the first information from an external information processing device. Further, for example, the acquisition unit 151 may acquire the second information from an external information processing device.

The acquisition unit 151 also acquires a plurality of types of second information used for detecting a predetermined event. For example, the acquisition unit 151 may acquire a plurality of types of second information used to detect a change regarding a predetermined event. For example, the acquisition unit 151 may acquire, from the plurality of second sensors 112, a plurality of types of second information used by the user to detect the movement from the outdoor to the indoor. In this case, the terminal device 10 has a plurality of types of second sensors 112.

(Estimation unit 152)
The estimation unit 152 estimates the timing at which a predetermined event has occurred, based on the first information and the second information. Specifically, the estimation unit 152 estimates the occurrence of the predetermined event based on the first information, and estimates the timing at which the predetermined event occurred based on the second information. In FIG. 1, the estimation unit 152 estimates, as the timing at which a predetermined event has occurred, the timing at which the user who owns the terminal device 10 moves from the outdoor to the indoor, using the first information and the second information.

Further, the estimation unit 152 estimates the timing at which the predetermined event is detected by the second information before the timing at which the predetermined event is detected by the first information as the timing at which the predetermined event occurs. For example, the estimation unit 152 estimates the timing at which a change related to the predetermined event is detected by the second information before the timing at which the predetermined event is detected by the first information, as the timing at which the predetermined event occurs. For example, the estimation unit 152 causes a predetermined event to occur at a timing at which the user has detected the movement from the outdoor to the indoor by the second information before the timing at which the user has detected the movement from the outdoor to the indoor by the first information. It is estimated as the timing. In FIG. 1, the estimation unit 152 uses the second information to detect the movement of the user from the outdoors to the indoors before time t13, which is the timing to detect the movement of the user from the outdoors to the indoors according to the first information. The time t121 is estimated to be the time when the user moves from the outdoor to the indoor.

Further, the estimation unit 152 generates a predetermined event at a timing at which the predetermined event is detected by the second information between the timing at which the predetermined event is detected by the first information and the detection timing before the timing. Estimate as timing. For example, the estimation unit 152 sets the timing at which the change related to the predetermined event is detected by the second information as the predetermined event between the timing at which the predetermined event is detected by the first information and the detection timing before the timing. It is estimated as the timing that occurred. For example, the estimation unit 152 uses the second information to change the movement of the user from the outdoor to the indoor between the timing at which the user detects that the user has moved from the outdoor to the indoor based on the first information and the detection timing before the timing. The timing at which is detected is estimated as the timing at which a predetermined event has occurred. In FIG. 1, the estimation unit 152 uses the second information between the time t13, which is the timing at which the user detects that the user has moved from the outdoor to the indoor, and the time t12, which is the detection timing before the timing, according to the first information. The time t121, which is the timing at which the change in the movement of the user from the outdoor to the indoor is detected, is estimated to be the time of the movement of the user from the outdoor to the indoor.

The estimation unit 152 detects a change in the second information at the timing at which the predetermined event is detected by the second information between the timing at which the predetermined event is detected by the first information and the detection timing before the timing. The timing selected based on the size is estimated as the timing at which a predetermined event occurs. In addition, the estimation unit 152 may estimate the timing at which the predetermined event has occurred by learning using the second information at the timing at which the predetermined event has occurred. In this case, the estimation unit 152 may estimate the timing at which the predetermined event has occurred, based on the learning result using the second information at the timing at which the predetermined event has occurred. For example, the estimation unit 152 uses the model generated by learning the pattern of change in the second information before the timing at which the predetermined event is estimated to occur due to the second information, to determine the timing at which the predetermined event occurs. It may be estimated.

In addition, the estimation unit 152 may cause a sensor that detects the first information to detect the first information when a predetermined event is detected from the second information. For example, the estimation unit 152 may cause the first sensor 111 that detects the first information to detect the first information when a predetermined event is detected from the second information.

In addition, the estimation unit 152 may estimate the timing at which the predetermined event occurs based on the timing at which the predetermined event is detected by a predetermined number or more of the second information among the plurality of types of second information. Further, the estimation unit 152 causes the predetermined event to occur at a timing selected based on the magnitude of change in the second information among the plurality of timings at which the predetermined event is detected by each of the plurality of types of second information. It may be estimated as the timing. In addition, the estimation unit 152 may estimate the timing selected based on the weight of each of the plurality of types of second information and the magnitude of change as the timing at which a predetermined event has occurred. For example, the estimation unit 152 may estimate the timing at which a predetermined event has occurred, based on the score calculated by multiplying the weight of each of the plurality of types of second information and the magnitude of change. In addition, for example, the estimation unit 152 causes a predetermined event at a timing when the total score calculated by multiplying the weight of each of the plurality of types of second information and the magnitude of change is equal to or greater than a predetermined threshold value. It may be estimated as timing. The details of these points will be described later.

(Transmission unit 153)
The transmission unit 153 transmits various information to an external information processing device. The transmission unit 153 may transmit various information to an external information processing device according to a user operation input by the input unit 12. Further, the transmission unit 153 may transmit information regarding the timing at which the predetermined event estimated by the estimation unit 152 occurs to an external information processing device.

(Display unit 154)
The display unit 154 displays various information via the output unit 13. For example, the display unit 154 may display a screen asking the user whether to perform the estimation process. Further, for example, the display unit 154 may display a screen for confirming to the user whether or not the information regarding the timing at which the predetermined event estimated by the estimation unit 152 may be transmitted to the external information processing device.

In addition, when the processing such as the estimation processing by the control unit 15 described above is performed by a predetermined application, each unit of the control unit 15 may be realized by a predetermined application, for example. For example, processing such as estimation processing by the control unit 15 may be realized by control information received from an external information processing device. When the terminal device 10 is a dedicated device for performing the estimation process, the terminal device 10 does not have to include the input unit 12, the output unit 13, and the display unit 154.

[3. Estimation process flow)
Next, the procedure of the estimation process performed by the terminal device 10 according to the first embodiment will be described with reference to FIG. FIG. 5 is a flowchart showing an estimation processing procedure by the terminal device 10 according to the first embodiment.

As shown in FIG. 5, the terminal device 10 determines whether the first information has changed (step S101). For example, the terminal device 10 determines whether there is a change in the first information detected by the first sensor 111. Then, when there is no change in the first information (step S101: No), the terminal device 10 repeats the process of step S101.

On the other hand, when there is a change in the first information (step S101: Yes), the terminal device 10 identifies the second information in which the change is detected before the detection time of the changed first information (step S102). That is, when there is a change in the first information, the terminal device 10 estimates that a predetermined event has occurred, that is, the user has moved from outdoors to indoors. In FIG. 1, in the terminal device 10, before the time t13 when it is detected that the user has moved from the outdoor to the indoor by the first information, the second information is detected by the second information that the change related to the movement of the user from the outdoor to the indoor is detected. Identify the information.

After that, the terminal device 10 estimates that the detection time of the changed second information is the time when the user moves indoors (step S103). In FIG. 1, the terminal device 10 estimates that the time t121 at which the changed second information is detected is the time at which the terminal device 10 moves indoors.

[4. Modification example)
The terminal device 10 according to the first embodiment described above is not limited to the above estimation process, and may perform the estimation process based on various information and conditions. Therefore, other estimation processing of the terminal device 10 will be described below.

[4-1. Estimation processing based on the value of the second information]
In FIG. 1, between the time t13, which is the detection timing based on the first information, and the time t12, which is the detection timing before the timing, a change related to the movement of the user from the outdoor to the indoor by the second information only once at the time t121. This is the case when is the timing when was detected. However, for example, the terminal device 10 allows the user to use the second information from the outdoors to the indoor space between the detection timing based on the first information and the detection timing before the timing (hereinafter, may be referred to as “first period”). When a change related to movement to is detected multiple times, the estimation process may be performed based on the value of the second information. This point will be described with reference to FIG. FIG. 6 is a diagram illustrating an example of the estimation process according to the modification. In FIG. 6, the first information FD illustrated by a dotted line (for example, the first information FD23) indicates the first information FD in which a change is detected, and the first information FD illustrated by a solid line (for example, the first information FD23). The first information FD21) indicates the first information FD for which no change is detected. Further, in FIG. 6, the second information SD (for example, the second information SD21) shown by the dotted line shows the second information SD in which the change is detected, and the second information SD shown by the solid line shows the change. The second information SD that is not detected is shown.

In FIG. 6, the first sensor 111 detects the first information FD21 at time t21. If the first information FD21 to FD24 are not distinguished, they may be the first information FD. When the second information SD21 and SD22 are not distinguished, they may be the second information SD. Further, the first information FD and the second information SD in FIG. 1 indicate the detection timing at the time t, and the length of the first information FD and the length of the second information SD indicate the numerical value of the information. Not a thing. Since the first information FD21 has GPS accuracy “high”, the terminal device 10 determines that the first information FD does not change at time t21.

After that, at time t22, the first sensor 111 detects the first information FD22. Since the first information FD22 has the GPS accuracy “high”, the terminal device 10 determines that the first information FD does not change at time t22.

After that, at time t221 after time t22, the second information SD21 is detected by the second sensor 112 (step S21). Then, the terminal device 10 determines that there is a change in the second information SD21 because the amount of change in the second information SD21 from the second information SD detected immediately before is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores, in the second information storage unit 142, information indicating that the second information SD has changed at time t221. The amount of change in the second information SD21 at time t221 is referred to as the amount of change AM21.

After that, at time t222 after time t221, the second information SD22 is detected by the second sensor 112 (step S22). Then, the terminal device 10 determines that there is a change in the second information SD22 because the amount of change in the second information SD22 from the second information SD detected immediately before is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores information indicating that the second information SD has changed at the time t222 in the second information storage unit 142. The amount of change in the second information SD22 at time t222 is referred to as the amount of change AM22. Further, it is assumed that the change amount AM22 of the second information SD22 at time t222 is larger than the change amount AM21 of the second information SD21 at time t221.

After that, at time t23 after time t222, the first information FD23 is detected by the first sensor 111. Since the first information FD23 has a GPS accuracy of “low”, the terminal device 10 determines that the first information FD has changed at time t23. Specifically, in the terminal device 10, since the first information FD changes from the GPS accuracy “high” of the first information FD22 to the GPS accuracy “low” of the first information FD23, the first information FD at time t23. It is assumed that there is a change in FD. Therefore, it is assumed that the terminal device 10 detects the movement from the outdoor to the indoor at time t23 (step S23).

Then, the terminal device 10, assuming that the user has moved from the outdoor to the indoor by the time t23, performs the movement timing by using the second information SD detected before the time t23. That is, the terminal device 10 performs retrospective estimation for estimating when the user moved from the outdoor to the indoor before the time t23 (step S24).

As described above, the change amount AM22 of the second information SD22 at the time t222 of the two second information SD21 and SD22 determined to have changed in the second information SD22 is the change amount of the second information SD21 at the time t221. Larger than AM21. Therefore, in the example of FIG. 6, the terminal device 10 estimates the time t222 when the second information SD22, which is the change amount AM22 having a larger change amount, is detected as the time when the user moves from the outdoor to the indoor (step S25). .. Accordingly, the terminal device 10 appropriately estimates the timing at which the user moves from the outdoor to the indoor even when there are a plurality of timings in which the second information SD22 is changed in the first period. Is possible.

After that, at time t24, the first sensor 111 detects the first information FD24. Since the first information FD24 has a GPS accuracy of “low”, the terminal device 10 determines that the first information FD does not change at time t24.

[4-2. Estimation processing based on a plurality of types of second information]
Although the example of the estimation process based on one piece of second information has been shown in the above-described example, the terminal device 10 may perform the estimation process based on a plurality of types of second information. This point will be described with reference to FIG. 7. FIG. 7 is a diagram illustrating an example of the estimation process according to the modification. In this case, the terminal device 10 has a plurality of second sensors. In FIG. 7, the case where the terminal device 10 has two second sensors, that is, the second sensor A and the second sensor B will be described as an example. For example, the second sensor A may be an illuminance sensor and the second sensor B may be a temperature sensor. Further, for example, the second information A may be the illuminance and the second information B may be the temperature. In addition, in FIG. 7, the first information FD illustrated by a dotted line (for example, the first information FD33) indicates the first information FD in which a change is detected, and the first information FD illustrated by a solid line (for example, the first information FD33). The first information FD31) indicates the first information FD for which no change is detected. Further, in FIG. 7, the second information SD (for example, the second information SD31) illustrated by the dotted line indicates the second information SD in which the change is detected, and the second information SD illustrated by the solid line indicates the change. The second information SD that is not detected is shown.

In FIG. 7, at time t31, the first sensor 111 detects the first information FD31. When the first information FD31 to FD34 are not distinguished, they may be the first information FD. When the second information SD31 and SD32 are not distinguished, they may be the second information SD. Further, the first information FD and the second information SD in FIG. 1 indicate the detection timing at the time t, and the length of the first information FD and the length of the second information SD indicate the numerical value of the information. Not a thing. Since the first information FD31 has the GPS accuracy “high”, the terminal device 10 determines that the first information FD does not change at time t31.

After that, at time t32, the first sensor 111 detects the first information FD32. Since the first information FD32 has the GPS accuracy “high”, the terminal device 10 determines that the first information FD does not change at time t32.

After that, at time t321 after time t32, the second information SD31 is detected as the second information A by the second sensor A (step S31). Then, the terminal device 10 determines that there is a change in the second information A because the amount of change in the second information SD31 from the second information SD detected by the second sensor A immediately before is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores information indicating that the second information A has changed at the time t321 in the second information storage unit 142. Note that the accuracy of the second information SD31 at time t321 is accuracy AC31.

The accuracy here may be determined based on, for example, the detection accuracy of each of the second sensors A and B, or based on the weight set for each of the second information A and B and the detected change amount. May be determined by For example, the terminal device 10 may normalize the magnitude of each change in the plurality of types of second information based on a predetermined reference. Further, for example, the terminal device 10 may determine the accuracy of each piece of the second information based on the score calculated by multiplying the weight of each of the plurality of types of second information and the magnitude of the change. Further, for example, the weight set for each second information may be changed according to the compatibility with the estimation target. For example, when the estimation target is the movement from the outdoor to the indoor, the weight of the temperature sensor may be larger than the weight of the blood pressure sensor.

After that, at time t322 after time t321, the second sensor SD detects the second information SD32 as the second information B (step S32). Then, the terminal device 10 determines that there is a change in the second information SD32 because the amount of change from the second information SD detected by the second sensor B immediately before the second information SD32 is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores, in the second information storage unit 142, information indicating that the second information B has changed at time t322. Note that the accuracy of the second information SD32 at time t322 is AC30. Further, the accuracy AC32 of the second information SD32 at time t322 is lower than the accuracy AC31 of the second information SD31 at time t321.

After that, at time t33 after time t322, the first information FD33 is detected by the first sensor 111. Since the first information FD33 has a GPS accuracy of “low”, the terminal device 10 determines that the first information FD has changed at time t33. Specifically, in the terminal device 10, the first information FD changes from the GPS accuracy “high” of the first information FD32 to the GPS accuracy “low” of the first information FD33, so at the time t33, the first information FD changes. It is assumed that there is a change in FD. Therefore, it is assumed that the terminal device 10 detects the movement from the outdoor to the indoor at time t33 (step S33).

Then, the terminal device 10, assuming that the user has moved from the outdoor to the indoor by the time t33, performs the movement timing using the second information SD detected before the time t33. That is, the terminal device 10 performs retrospective estimation for estimating when the user has moved from the outdoor to the indoor before the time t33 (step S34).

As described above, the accuracy AC32 of the second information SD32 at the time t322 of the two pieces of the second information SD31 and SD32 determined to have changed in the second information SD is more accurate than the accuracy AC31 of the second information SD31 at the time t321. Is also small. Therefore, in the example of FIG. 7, the terminal device 10 estimates that the time t321 at which the second information SD31 having the higher accuracy AC31 is detected is the time at which the user moves from the outdoor to the indoor (step S35). As a result, the terminal device 10 can properly allow the user to outdoors even if it is determined that the plurality of types of the second sensors A and B have changed in the second information SD at different timings during the first period. It is possible to estimate the timing of moving from indoors to indoors.

After that, at time t34, the first sensor 111 detects the first information FD34. Since the first information FD34 has a GPS accuracy of “low”, the terminal device 10 determines that the first information FD does not change at time t34.

[4-3. Estimation processing based on detection of a predetermined number or more of second information]
In addition, the terminal device 10 may estimate the timing at which the predetermined event occurs based on the timing at which a change related to the predetermined event is detected by a predetermined number or more of the second information among the plurality of types of second information. Good. This point will be described with reference to FIG. FIG. 8: is a figure which shows an example of the estimation process which concerns on a modification. In this case, the terminal device 10 has a plurality of second sensors. In FIG. 8, the terminal device 10 will be described as an example in which the terminal device 10 includes three second sensors, that is, a second sensor A, a second sensor B, and a second sensor C. For example, the second sensor A may be an illuminance sensor, the second sensor B may be a temperature sensor, and the second sensor C may be an acceleration sensor. Further, for example, the second information A may be illuminance, the second information B may be temperature, and the second information C may be acceleration. In addition, in FIG. 8, the first information FD illustrated by a dotted line (for example, the first information FD43) indicates the first information FD in which a change is detected, and the first information FD illustrated by a solid line (for example, the first information FD43). The first information FD41) indicates the first information FD for which no change is detected. Further, in FIG. 8, the second information SD (for example, the second information SD41) illustrated by the dotted line indicates the second information SD in which the change is detected, and the second information SD illustrated by the solid line indicates the change. The second information SD that is not detected is shown.

In FIG. 8, at time t41, the first sensor 111 detects the first information FD41. When the first information FD41 to FD44 are not distinguished, they may be the first information FD. Further, when the second information SD41 to SD43 are not distinguished, they may be the second information SD. Further, the first information FD and the second information SD in FIG. 1 indicate the detection timing at the time t, and the length of the first information FD and the length of the second information SD indicate the numerical value of the information. Not a thing. Since the first information FD41 has a GPS accuracy of “high”, the terminal device 10 determines that the first information FD does not change at time t41.

After that, at time t42, the first sensor 111 detects the first information FD42. Since the first information FD42 has the GPS accuracy “high”, the terminal device 10 determines that the first information FD does not change at time t42.

After that, at time t421 after time t42, the second information SD41 is detected as the second information A by the second sensor A (step S41). Then, the terminal device 10 determines that there is a change in the second information A because the amount of change in the second information SD41 from the second information SD detected immediately before by the second sensor A is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores information indicating that the second information A has changed at the time t421 in the second information storage unit 142. At time t421, the second sensor B detects the second information SD42 as the second information B (step S42). Then, the terminal device 10 determines that there is a change in the second information SD42 because the amount of change from the second information SD detected by the second sensor B immediately before in the second information SD42 is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores information indicating that the second information B has changed at time t421 in the second information storage unit 142.

After that, at time t422 after time t421, the second sensor C detects the second information SD43 as the second information C (step S43). Then, the terminal device 10 determines that there is a change in the second information SD43 because the amount of change in the second information SD43 from the second information SD detected by the second sensor C immediately before is equal to or more than a predetermined threshold value. For example, the terminal device 10 stores information indicating that the second information C has changed at the time t422 in the second information storage unit 142.

After that, at time t43 after time t422, the first information FD43 is detected by the first sensor 111. Since the first information FD43 has a GPS accuracy of “low”, the terminal device 10 determines that there is a change in the first information FD at time t43. Specifically, in the terminal device 10, since the first information FD changes from the GPS accuracy “high” of the first information FD42 to the GPS accuracy “low” of the first information FD43, the first information FD at time t43. It is assumed that there is a change in FD. Therefore, it is assumed that the terminal device 10 detects the movement from the outdoor to the indoor at time t43 (step S44).

Then, the terminal device 10, assuming that the user has moved from the outdoor to the indoor by the time t43, performs the movement timing by using the second information SD detected before the time t43. That is, the terminal device 10 performs retrospective estimation for estimating when the user moved from the outdoor to the indoor before the time t43 (step S45).

As described above, it is detected that there is a change in the two pieces of second information A and B at time t421, and it is detected that there is a change in one piece of second information C at time t422. Therefore, in the example of FIG. 8, the terminal device 10 estimates that the time t421 at which a larger amount of the second information SD is detected is the time at which the user moves from the outdoor to the indoor (step S46). As a result, the terminal device 10 can appropriately perform the user operation even when it is determined that the plurality of types of the second sensors A, B, and C have changed in the second information SD at different timings during the first period. It is possible to estimate the timing when the vehicle moves from the outdoor to the indoor.

After that, at time t44, the first sensor 111 detects the first information FD44. Since the first information FD44 has a GPS accuracy of “low”, the terminal device 10 determines that the first information FD does not change at time t44.

[4-4. Estimating the timing of the start of exercise]
The estimation process described above is not limited to the estimation of the timing when the user moves from the outdoor to the indoor, but can be applied to the estimation of the timings of various events according to the purpose and information. This point will be described with reference to FIG. FIG. 9 is a diagram illustrating an example of the estimation process according to the modification. As an example, FIG. 9 shows a case where the timing at which the user starts the exercise is estimated. In addition, the exercise shown in the following example shows a case in which the timing of initiating an exercise such as running accompanied by geographical movement of the user is estimated. The terminal device 10 according to the present modification uses the heartbeat (pulse) sensor as the second sensor 112 to perform the estimation process. Also in this modification, the power consumption of the first sensor 111 is larger than that of the second sensor 112. That is, the power consumption required for the first sensor 111 to detect the first information once is larger than the power consumption required for the second sensor 112 to detect the second information once. Further, in FIG. 9, the first information FD illustrated by the dotted line (for example, the first information FD53) indicates the first information FD in which a change is detected, and the first information FD illustrated by the solid line (for example, the first information FD53). The first information FD51) indicates the first information FD for which no change is detected. Further, in FIG. 9, the second information SD (for example, the second information SD51) shown by the dotted line shows the second information SD in which the change is detected, and the second information SD shown by the solid line shows the change. The second information SD that is not detected is shown.

Further, the terminal device 10 uses, as the first information, position information detected by the GPS among the information detected by the first sensor 111. In addition, the terminal device 10 uses a change between consecutive first information, that is, a change in position information to detect the start timing of exercise. For example, the terminal device 10 determines that the first information has changed when the amount of change between successive pieces of first information (the amount of change in position information) is equal to or greater than a predetermined threshold. Further, in FIG. 9, the terminal device 10 uses a change between successive second information, that is, a change in pulse to detect a change regarding a predetermined event. For example, the terminal device 10 determines that the second information has changed when the amount of change (the amount of change in pulse) between successive second information is equal to or greater than a predetermined threshold.

The map information MP50 shown in FIG. 9 schematically shows the geographical position of the user. In the map information MP50, the position of (the user who owns) the terminal device 10 is indicated by user positions UL51 to UL56. If the user positions UL51 to UL56 are not distinguished, they may be the user position UL.

In FIG. 9, the first information FD51 is detected by the first sensor 111 at time t51. If the first information FD51 to FD54 are not distinguished, they may be the first information FD. When the second information SD51 and SD52 are not distinguished, they may be the second information SD. Further, the first information FD and the second information SD in FIG. 9 indicate the detection timing at time t, and the length of the first information FD and the length of the second information SD indicate the numerical value of the information. Not a thing.

Here, since the amount of change in the first information FD51 from the first information FD detected immediately before is less than the predetermined threshold value, the terminal device 10 determines that the first information FD does not change at time t51. Therefore, the terminal device 10 does not detect the start of exercise at time t51 (step S51). As shown in the map information MP50, the user at time t51 is located at the user position UL51.

After that, at time t52 after time t51, the first information FD52 is detected by the first sensor 111. In the first information FD52, the amount of change from the first information FD51 detected immediately before is less than the predetermined threshold value, so the terminal device 10 determines that the first information FD does not change at time t52. Therefore, the terminal device 10 does not detect the start of exercise at time t52 (step S52). As shown in the map information MP50, the user at time t52 is located at the user position UL52.

After that, at time t521 after time t52, the second information SD51 is detected by the second sensor 112. Then, the terminal device 10 determines that there is a change in the second information SD51 because the amount of change in the second information SD51 from the second information SD detected immediately before is equal to or greater than a predetermined threshold value. Here, in the second information SD, the pulse of the user may change due to factors other than exercise. Therefore, it is not estimated that the user has started exercise only by changing the second information SD. For example, the terminal device 10 stores, in the second information storage unit 142, information indicating that the second information SD has changed at time t521. As shown in the map information MP50, the user at time t521 is located at the user position UL53.

After that, at time t53 after time t521, the first information FD53 is detected by the first sensor 111. Since the amount of change in the first information FD53 from the first information FD52 detected immediately before is equal to or greater than a predetermined threshold, the terminal device 10 determines that the first information FD has changed at time t53. Therefore, it is assumed that the terminal device 10 detects the start of exercise at time t53 (step S53). As shown in the map information MP50, the user at time t53 is located at the user position UL54.

Since the first information FD can detect the geographical movement of the user, the terminal device 10 combines the change of the first information FD and the change of the second information to determine when the user starts the exercise. Can be estimated. Specifically, the terminal device 10 estimates the timing at which the user starts the exercise using the second information SD detected before time t53 when the change in the first information FD is detected. That is, the terminal device 10 performs retrospective estimation for estimating when the user started the exercise before time t53 (step S54).

In FIG. 9, the second information SD51 detected at time t521 before time t53 indicates that the second information SD has changed at time t521. Therefore, the terminal device 10 estimates the time t521 before the time t53 as the time when the user starts the exercise (step S55). As a result, the terminal device 10 can appropriately estimate the timing at which the user started the exercise.

After that, at time t531 after time t53, the second information SD52 is detected by the second sensor 112. Then, the terminal device 10 determines that there is a change in the second information SD52 because the amount of change in the second information SD52 from the second information SD detected immediately before is equal to or greater than a predetermined threshold value. For example, the terminal device 10 stores, in the second information storage unit 142, information indicating that the second information SD has changed at time t531. The user at time t531 is located at the user position UL55 as shown in the map information MP50.

After that, at time t54 after time t531, the first information FD54 is detected by the first sensor 111. Since the amount of change in the first information FD54 from the first information FD53 detected immediately before is less than the predetermined threshold value, the terminal device 10 determines that there is no change in the first information FD at time t54. Therefore, the terminal device 10 does not detect the start of exercise at time t54. As shown in the map information MP50, the user at time t54 is located at the user position UL56.

The second sensor 112 is not limited to a heartbeat (pulse) sensor, and a blood pressure sensor, an acceleration sensor, or the like may be used.

[4-5. Other timing estimation]
As described above, the terminal device 10 can be applied to the estimation of the timing of various events according to the purpose and information. For example, the terminal device 10 may estimate the timing when the user falls asleep by using the image information captured by the camera as the first information and the information regarding the user operation received by the input unit 12 as the second information. For example, the terminal device 10 feels that the user is hot, with the information about the user's undressing detected from the image information captured by the camera as the first information and the information about the user's sweating detected by the perspiration sensor as the second information. The starting timing may be estimated.

(Second embodiment)
[5. Estimation process)
First, an example of the estimation process according to the second embodiment will be described with reference to FIG. FIG. 10 is a diagram illustrating an example of the estimation process according to the second embodiment. In the present embodiment, the estimation device 100 (see FIG. 11) uses the information regarding the purchase history of the user as the first information and the information regarding the search history of the user as the second information. In addition, below, the user for which the estimation apparatus 100 performs an estimation process is user U11.

The estimation device 100 is an information processing device having a function of executing an estimation process described later. The estimation device 100 estimates the timing at which a psychological change regarding a predetermined event in the user U11 has occurred, based on the first information and the second information. Further, the estimation device 100 is the first information regarding the occurrence of the predetermined event regarding the user U11, and the information acquired at a higher frequency than the first information, and regarding the event occurring before the occurrence of the predetermined event. The second information, which is the information, is acquired.

In the example illustrated in FIG. 10, as the timing at which the estimation device 100 causes a psychological change related to the predetermined event in the user U11, the timing at which the user U11 has an intention to purchase the product purchased is the first information and the second information. The case of estimating using information and is shown. In the example shown in FIG. 10, it is assumed that the number of searches performed by the user U11 is greater than the number of times the user U11 purchases a product. That is, the second information, which is information about the search history, is information acquired at a higher frequency than the first information, which is information about the purchase history, and is information about an event that occurs before the occurrence of a predetermined event. is there.

FIG. 10 illustrates an example of estimating the timing at which the user U11 who purchased the camera B is motivated to purchase the camera B. In the example shown in FIG. 10, the year (2015) and the minutes and seconds at the time are omitted for simplification of description.

In FIG. 10, the estimation device 100 acquires the second information indicating that the user U11 has searched using the search query “mail order” at 11:00 on September 30 (step S61). Further, the estimation device 100 acquires the first information indicating that the user U11 purchased the product “water A” at 18:00 on October 1st (step S62). In addition, the estimation device 100 acquires the second information indicating that the user U11 has performed the search using the search query “camera company X” at 22:00 on October 3 (step S63). Further, the estimation device 100 acquires the second information indicating that the user U11 has performed the search using the search query “camera A” at 23:00 on October 3 (step S64). In addition, the estimation device 100 acquires the second information indicating that the user U11 has performed the search using the search query “camera B” at 23 October 16 (step S65).

After that, the estimation device 100 acquires the first information indicating that the user U11 has purchased the product “camera B” at 12:00 on October 17 (step S66). As a result, it is assumed that the estimation apparatus 100 causes the user to purchase the camera B at a time before 12:00 on October 17th. Therefore, the estimation device 100 performs retrospective estimation to estimate when the user is motivated to purchase the camera B before 12:00 on October 17 (step S67).

When the user U11 is searching for information about the camera before 12:00 on October 17, the estimation device 100 causes the user to be motivated to purchase the camera B based on the time when the search is performed. Presume. In FIG. 10, the estimation apparatus 100 has the purchaser of the product “camera B” before 12:00 on October 17 and the purchase of the product “water A” after 18:00 on October 1 (hereinafter referred to as “pre-purchase period”). In (1), based on the time when the user U11 searched for information about the camera, it is estimated when the user's willingness to purchase the camera B occurred.

Here, in FIG. 10, the estimation device 100 sets the earliest time to search for information about the camera during the purchase period, 22:00 on October 3, to the time when the user U11 has an intention to purchase the camera B. (Step S68). It should be noted that this estimation is an example, and the estimation device 100 may perform the estimation process using information regarding the search history of information related to the purchased product. For example, the estimation apparatus 100 estimates the time when the number of searches for information related to the purchased product is a predetermined function or more before the time when the product is purchased, as the time when the user U11 has an intention to purchase the product. Good. For example, the estimation apparatus 100 estimates that the time when the number of searches for the information related to the camera becomes two or more times before the time when the camera B is purchased is the time when the user U11 has an intention to purchase the camera B. Good. In this case, the estimation device 100 may estimate that the time when the search is performed using the search query “camera A”, 23:00 on October 3, as the time when the user U11 has an intention to purchase the camera B.

As described above, the estimation device 100 can appropriately estimate the timing at which the user is motivated to purchase the camera B by using the first information and the second information. That is, the estimation device 100 can appropriately estimate the timing at which a psychological change regarding a predetermined event occurs in the user.

[6. Configuration of estimation device]
Next, the configuration of the estimation device 100 according to the second embodiment will be described using FIG. 11. FIG. 11 is a diagram illustrating a configuration example of the estimation device 100 according to the second embodiment. As shown in FIG. 11, the estimation device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network by wire or wirelessly, and transmits/receives information to/from the terminal device 10.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 according to the second embodiment has a first information storage unit 121 and a second information storage unit 122, as shown in FIG. 11.

(First information storage unit 121)
The first information storage unit 121 according to the second embodiment stores the first information. For example, the first information storage unit 121 stores information regarding the purchase history as the first information. FIG. 12 shows an example of the first information stored in the first information storage unit 121. As shown in FIG. 12, the first information storage unit 121 has items such as “user ID”, “purchase history ID”, “time”, “product”... As the first information.

The “user ID” indicates identification information for identifying the user. The “purchase history ID” indicates identification information for identifying information regarding the purchase history, which is the first information. “Time” indicates the time when the purchase identified by the corresponding purchase history ID was made. In addition, “product” indicates a product purchased in the purchase history identified by the corresponding purchase history ID.

For example, in the example shown in FIG. 12, the first information identified by the purchase history ID “LG11” is the time “October 1, 2015 18:34:21” by the user identified by the user ID “U11”. Indicates that the product “water A” has been purchased. Further, for example, the first information identified by the purchase history ID “LG12” is the product “Camera B” at the time “October 17, 2015 12:42:54” by the user identified by the user ID “U11”. "Has been purchased.

The first information storage unit 121 is not limited to the above, and may store various kinds of information according to the purpose. For example, the first information storage unit 121 may store various types of information about the product, such as the category and price of the product.

(Second information storage unit 122)
The second information storage unit 122 according to the second embodiment stores the second information. For example, the second information storage unit 122 stores information regarding the search history as the second information. FIG. 13 shows an example of the second information stored in the second information storage unit 122. As shown in FIG. 13, the second information storage unit 122 has items such as “user ID”, “search history ID”, “time”, “search query”... As the second information.

The “user ID” indicates identification information for identifying the user. The “search history ID” indicates identification information for identifying information regarding the search history that is the second information. “Time” indicates the time when the search identified by the corresponding search history ID was performed. Further, “search query” indicates a search query used for a search in the search history identified by the corresponding search history ID.

For example, in the example shown in FIG. 12, the second information identified by the search history ID “LG21” is the time “September 30, 2015 11:02:34” by the user identified by the user ID “U11”. Indicates that the search was performed using the search query “mail order”. Further, for example, the second information identified by the search history ID “LG22” is the search query “camera at time “October 3, 2015 22:56:13” by the user identified by the user ID “U11”. Indicates that a search was performed using "Company X".

The second information storage unit 122 is not limited to the above, and may store various information according to the purpose.

(Control unit 130)
The control unit 130 is realized by, for example, a CPU, an MPU, or the like executing various programs stored in a storage device such as the storage unit 120 inside the estimation device 100 using a RAM as a work area. For example, the various programs include the programs of the installed travel application. Further, the control unit 130 is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As illustrated in FIG. 11, the control unit 130 includes an acquisition unit 131, an estimation unit 132, and a transmission unit 133, and realizes or executes the function and action of the estimation process described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 11, and may be any other configuration as long as it is a configuration for performing an estimation process described later. Further, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 11, and may be another connection relationship.

(Acquisition unit 131)
The acquisition unit 131 acquires the first information and the second information acquired at a higher frequency than the first information. For example, the acquisition unit 131 acquires first information regarding the occurrence of a predetermined event regarding the user. For example, the acquisition unit 131 acquires information regarding the purchase history of the user as the first information. In addition, the acquisition unit 131 acquires second information, which is information acquired at a higher frequency than the first information and is information regarding an event that occurs before the occurrence of a predetermined event. For example, the acquisition unit 131 sets the information regarding the search history of the user as the second information.

For example, the acquisition unit 131 acquires the first information from an external information processing device that provides an electronic commerce service. Further, for example, the acquisition unit 131 acquires the second information from an external information processing device that provides an information search service. For example, the acquisition unit 131 may store the first information acquired from an external information processing device that provides an electronic commerce service in the first information storage unit 121. Further, for example, the acquisition unit 131 may store the second information acquired from the external information processing device that provides the information search service in the second information storage unit 122. Further, the acquisition unit 131 may acquire various information from an external information processing device. The acquisition unit 131 may also acquire a plurality of types of second information. For example, the acquisition unit 131 may acquire, from a plurality of external information processing devices, a plurality of types of second information used to estimate the timing at which a psychological change regarding a predetermined event has occurred in the user.

(Estimation unit 132)
The estimating unit 132 estimates the occurrence of a predetermined event in the user based on the first information, and estimates the timing at which a psychological change regarding the predetermined event occurs in the user based on the second information. For example, the estimation unit 132 estimates the timing at which a predetermined event has occurred, based on the first information and the second information. In FIG. 10, the estimation unit 132 estimates the timing at which the user U11 has an intention to purchase the camera B as the timing at which the predetermined event has occurred, using the first information and the second information. For example, the estimation unit 132 may perform the estimation process using the information regarding the search history of the information related to the purchased product. For example, the estimation unit 132 estimates that the earliest timing at which the information regarding the product during the purchase period is searched is the timing at which the user has the desire to purchase the product. For example, the estimation unit 132 may estimate that the timing at which the number of searches for information related to the purchased product is greater than or equal to a predetermined function before the time when the product is purchased is the timing at which the user has an intention to purchase the product. Good.

(Transmission unit 133)
The transmission unit 133 transmits various information to an external information processing device. The transmission unit 133 may transmit various kinds of information to an external information processing device that provides an incoming electronic commerce service. Further, the transmission unit 133 may transmit the information, which is estimated by the estimation unit 132, regarding the timing when the psychological change regarding the predetermined event in the user has occurred to the external information processing device that provides the electronic commerce service.

[7. Estimation process flow)
Next, the procedure of the estimation process performed by the estimation device 100 according to the second embodiment will be described with reference to FIG. FIG. 14 is a flowchart showing an estimation processing procedure by the estimation device 100 according to the second embodiment.

As illustrated in FIG. 14, the estimation device 100 determines whether there is a purchase history of a predetermined product (step S201). For example, the estimation device 100 determines whether the first information stored in the first information storage unit 121 includes a purchase history of a predetermined product. Then, when there is no purchase history of the predetermined product (step S201: No), the estimation device 100 repeats the process of step S201.

On the other hand, when there is a purchase history of the predetermined product (step S201: Yes), the estimation device 100 specifies the search for the predetermined product before the purchase time of the predetermined product (step S202). That is, the estimation apparatus 100 is assumed to have a predetermined event in the user. In FIG. 10, the estimation device 100 is executed by the user U11 by using the search query “camera company X” related to the product “camera B” by the user U11 before 12:00 on October 17, when the product “camera B” is purchased. Identify your search.

After that, the estimation device 100 estimates the time at which the specified detection is performed as the time at which the user has a desire to purchase a predetermined product (step S203). In FIG. 10, the estimation device 100 estimates that 22:00 on October 3, which is the time when the user U11 searches using the search query “camera company X”, is the time when the user U11 has an intention to purchase the camera B. To do.

[7-1. Other timing estimation]
As described above, the terminal device 10 can be applied to the estimation of the timing of various events according to the purpose and information. For example, the terminal device 10 estimates the timing at which the user becomes hungry by using the information regarding the purchase history of the food of the user as the first information and the voice information emitted from the abdomen of the user collected by the microphone as the second information. You may. Further, for example, the terminal device 10 estimates the timing at which the user becomes hungry by using the information regarding the purchase history of the food of the user as the first information, and the information regarding the brain wave of the user and the information regarding the saliva amount of the user as the second information. You may.

[8. effect〕
As described above, the terminal device 10 according to the first embodiment and the modified example includes the acquisition unit 151 and the estimation unit 152. The acquisition unit 151 acquires the first information and the second information that is detected more frequently than the first information. Further, the estimation unit 152 estimates the occurrence of the predetermined event based on the first information, and estimates the timing when the predetermined event occurs based on the second information.

Thereby, the terminal device 10 according to the first embodiment and the modification can appropriately estimate the timing when the user moves from the outdoor to the indoor by using the first information and the second information. For example, the terminal device 10 can suppress the number of times the first sensor 111, which consumes a large amount of power, detects the first information by using the second information, and thus can suppress an increase in power consumption. That is, the terminal device 10 can appropriately estimate the timing when a predetermined event occurs.

In addition, in the terminal device 10 according to the first embodiment and the modification, the acquisition unit 151 acquires the first information having higher detection accuracy for the predetermined event than the second information.

As a result, the terminal device 10 according to the first embodiment and the modified example allows the user to use the first information with high detection accuracy but low frequency and the second information with low detection accuracy but high frequency. It is possible to properly estimate the timing of moving from the outdoor to the indoor. For example, by using the first information and the second information, the terminal device 10 can reduce the error in the estimation of the timing when the user moves from the outdoor to the indoor, to less than the detection interval of the second information. It is possible to properly estimate the timing when the vehicle moves from the outdoor to the indoor. That is, the terminal device 10 can appropriately estimate the timing when a predetermined event occurs.

In addition, in the terminal device 10 according to the first embodiment and the modification, the estimation unit 152 determines the timing at which the predetermined event is detected by the second information before the timing at which the predetermined event is detected by the first information. It is estimated as the timing when a predetermined event occurs.

Thereby, the terminal device 10 according to the first embodiment and the modification can appropriately estimate the timing when the user moves from the outdoor to the indoor by using the first information and the second information. For example, by using the first information and the second information, the terminal device 10 can reduce the error in the estimation of the timing when the user moves from the outdoor to the indoor, to less than the detection interval of the second information. It is possible to properly estimate the timing when the vehicle moves from the outdoor to the indoor. That is, the terminal device 10 can appropriately estimate the timing when a predetermined event occurs.

Further, in the terminal device 10 according to the first embodiment and the modification, the estimation unit 152 uses the second information between the timing at which the predetermined event is detected by the first information and the detection timing before the timing. The timing at which the predetermined event is detected is estimated as the timing at which the predetermined event occurs.

Thereby, the terminal device 10 according to the first embodiment and the modification can appropriately estimate the timing when the user moves from the outdoor to the indoor by using the first information and the second information. For example, by using the first information and the second information, the terminal device 10 can reduce the error in the estimation of the timing when the user moves from the outdoor to the indoor, to less than the detection interval of the second information. It is possible to properly estimate the timing when the vehicle moves from the outdoor to the indoor. That is, the terminal device 10 can appropriately estimate the timing when a predetermined event occurs.

Further, in the terminal device 10 according to the first embodiment and the modification, the estimation unit 152 uses the second information between the timing at which the predetermined event is detected by the first information and the detection timing before the timing. Among the timings when the predetermined event is detected by, the timing selected based on the magnitude of the change of the second information is estimated as the timing when the predetermined event occurs.

As a result, the terminal device 10 according to the first embodiment and the modified example selects the timing based on the magnitude of the change from the timing at which the change related to the predetermined event is detected by the second information, so that the predetermined event is generated. It is possible to appropriately estimate the timing at which the occurrence of.

Further, in the terminal device 10 according to the first embodiment and the modified example, the estimation unit 152 estimates the timing at which the predetermined event has occurred by learning using the second information at the timing at which the predetermined event has occurred.

Thereby, the terminal device 10 according to the first embodiment and the modified example is generated by learning the pattern of change in the second information before the timing when it is estimated that the predetermined event has occurred due to the second information. The model can be used to properly estimate when the given event occurred.

Further, in the terminal device 10 according to the first embodiment and the modified example, the estimation unit 152 detects the first information when the predetermined event is detected by the second information (in the first embodiment, the sensor detects the first information. The "first sensor 111") is caused to detect the first information.

Thereby, the terminal device 10 according to the first embodiment and the modification reduces the error in the timing estimation by causing the first sensor 111 to detect the first information before the detection interval of the first information elapses. can do. That is, the terminal device 10 can appropriately estimate the timing when a predetermined event occurs.

Further, in the terminal device 10 according to the first embodiment and the modified example, the acquisition unit 151 includes the first information detected by a predetermined sensor (“first sensor 111” in the first embodiment. The same applies hereinafter), and The second information detected by a sensor (“second sensor 112” in the first embodiment) other than the predetermined sensor is acquired. The estimation unit 152 estimates the timing when the user moves between the outdoor and the indoor, as the timing when the predetermined event occurs.

Accordingly, the terminal device 10 according to the first embodiment and the modification appropriately uses the first information and the second information, which are the information detected by the sensor, to appropriately determine the timing when the user moves from the outdoor to the indoor. Can be estimated. For example, the terminal device 10 can reduce the error in the estimation of the timing when the user moves from the outdoor to the indoor to less than the second interval SR2 by using the first information and the second information. It is possible to properly estimate the timing of moving from the outdoor to the indoor. That is, the terminal device 10 can appropriately estimate the timing when a predetermined event occurs.

In addition, in the terminal device 10 according to the first embodiment and the modification, the acquisition unit 151 uses the first information indicating the accuracy of the position information detected by the GPS sensor and the second information detected by a sensor other than the GPS sensor. Get information and.

With this, the terminal device 10 according to the first embodiment and the modified example uses the first information indicating the accuracy of the position information detected by the GPS sensor to further improve the accuracy of the timing at which the user moves from the outdoor to the indoor. It can be well estimated.

In addition, in the terminal device 10 according to the first embodiment and the modification, the acquisition unit 151 acquires a plurality of types of second information used for detecting a predetermined event. Further, the estimation unit 152 estimates the timing at which the predetermined event occurs based on the timing at which the predetermined event is detected by the predetermined number or more of the second information among the plurality of types of second information.

Thereby, the terminal device 10 according to the first embodiment and the modification can more accurately estimate the timing when the user moves from the outdoor to the indoor by using the plurality of types of second information. That is, the terminal device 10 can more accurately estimate the timing at which the predetermined event has occurred.

In addition, in the terminal device 10 according to the first embodiment and the modified example, the estimation unit 152 includes a plurality of types of second information among a plurality of timings when a predetermined event is detected by each of the plurality of types of second information. The timing selected based on the magnitude of the change of each is estimated as the timing at which the predetermined event has occurred.

As a result, the terminal device 10 according to the first embodiment and the modification further selects the timing based on the magnitude of the change in the plurality of types of second information, thereby further increasing the timing at which the user moves from the outdoor to the indoor. It can be estimated accurately. That is, the terminal device 10 can more accurately estimate the timing at which the predetermined event has occurred.

Further, in the terminal device 10 according to the first embodiment and the modified example, the estimation unit 152 causes the predetermined event to occur at the timing selected based on the weight and the magnitude of change of each of the plurality of types of second information. It is estimated as the timing.

With this, the terminal device 10 according to the first embodiment and the modified example allows the user to move from outdoors to indoors by selecting the timing based on the weight of each of the plurality of types of second information and the magnitude of change. The timing can be estimated more accurately. That is, the terminal device 10 can more accurately estimate the timing at which the predetermined event has occurred.

Moreover, the estimation device 100 according to the second embodiment includes an acquisition unit 131 and an estimation unit 132. The acquisition unit 131 acquires the first information and the second information acquired at a higher frequency than the first information. The estimating unit 132 estimates the occurrence of a predetermined event in the user based on the first information, and estimates the timing at which a psychological change regarding the predetermined event occurs in the user based on the second information.

Thus, the estimation device 100 according to the second embodiment can appropriately estimate the timing at which the user has the motivation to purchase the product by using the first information and the second information. That is, the estimation device 100 can appropriately estimate the timing at which a psychological change regarding a predetermined event occurs in the user.

[9. Hardware configuration]
The terminal device 10 according to the first embodiment and the modification example described above and the estimation device 100 according to the second embodiment are realized by, for example, a computer 1000 configured as shown in FIG. FIG. 15 is a hardware configuration diagram showing an example of a computer 1000 that realizes the function of the estimation device. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I/F) 1500, an input/output interface (I/F) 1600, and a media interface (I/F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program dependent on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from another device via a predetermined network, sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to another device via the predetermined network.

The CPU 1100 controls output devices such as a display and a printer and input devices such as a keyboard and a mouse via the input/output interface 1600. The CPU 1100 acquires data from the input device via the input/output interface 1600. Further, the CPU 1100 outputs the generated data to the output device via the input/output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) and a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

For example, when the computer 1000 functions as the terminal device 10 according to the first embodiment and the modification or the estimation device 100 according to the second embodiment, the CPU 1100 of the computer 1000 executes the program loaded on the RAM 1200. As a result, the function of the control unit 130 is realized. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via a predetermined network.

As described above, some of the embodiments and modifications of the present application have been described in detail based on the drawings, but these are merely examples, and various aspects based on the knowledge of those skilled in the art, including the mode described in the row of the disclosure of the invention, are included. It is possible to implement the present invention in other forms that are modified or improved.

[10. Other]
Further, among the respective processes described in the above embodiments and modifications, all or part of the processes described as being automatically performed may be manually performed, or as the manually performed. All or part of the processing described may be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Further, each constituent element of each device illustrated is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific form of distribution/integration of each device is not limited to that shown in the figure, and all or part of the device may be functionally or physically distributed/arranged in arbitrary units according to various loads and usage conditions. It can be integrated and configured.

Further, the above-described respective embodiments and modified examples can be appropriately combined within a range in which the processing content is not inconsistent.

Further, the "section (module, unit)" described above can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition unit or an acquisition circuit.

10 Terminal device (estimation device)
111 first sensor 112 second sensor 141 first information storage unit 142 second information storage unit 15 control unit 151 acquisition unit 152 estimation unit 153 transmission unit 154 display unit 100 estimation device 121 first information storage unit 122 second information storage unit 130 control unit 131 acquisition unit 132 estimation unit 133 transmission unit

Claims (19)

An acquisition unit that acquires first information and second information that is detected with a frequency higher than that of the first information;
An estimation unit that estimates the occurrence of a predetermined event based on the first information and estimates the timing at which the predetermined event occurs based on the second information;
Equipped with
The acquisition unit is
An estimation apparatus, characterized in that the first information, which has a higher detection accuracy for the predetermined event, than the second information is acquired . An acquisition unit that acquires first information and second information that is detected with a frequency higher than that of the first information;
An estimation unit that estimates the occurrence of a predetermined event based on the first information and estimates the timing at which the predetermined event occurs based on the second information;
Equipped with
The estimation unit is
The timing at which the predetermined event is detected by the second information is estimated as the timing at which the predetermined event occurs before the timing at which the predetermined event is detected by the first information.
An estimation device characterized by the above . An acquisition unit that acquires first information and second information that is detected with a frequency higher than that of the first information;
An estimation unit that estimates the occurrence of a predetermined event based on the first information and estimates the timing at which the predetermined event occurs based on the second information;
Equipped with
The estimation unit is
When the predetermined event is detected by the second information, a sensor for detecting the first information is caused to detect the first information.
An estimation device characterized by the above . An acquisition unit that acquires first information and second information that is detected with a frequency higher than that of the first information;
An estimation unit that estimates the occurrence of a predetermined event based on the first information and estimates the timing at which the predetermined event occurs based on the second information;
Equipped with
The acquisition unit is
Acquiring the first information detected by a predetermined sensor and the second information detected by a sensor other than the predetermined sensor,
The estimation unit is
As the timing when the predetermined event occurs, the timing when the user moves between the outdoor and the indoor is estimated.
An estimation device characterized by the above . The estimation unit is
Between the timing at which the predetermined event is detected by the first information and the detection timing before the timing, the timing at which the predetermined event is detected by the second information is set as the timing at which the predetermined event occurs. The estimation device according to claim 2 , which estimates. The estimation unit is
Between the timing at which the predetermined event is detected by the first information and the detection timing before the timing, the change in the second information is detected at the timing at which the predetermined event is detected by the second information. The estimation device according to claim 5 , wherein the timing selected based on the size is estimated as the timing at which the predetermined event has occurred. The acquisition unit is
The estimation device according to claim 4 , wherein the first information indicating the accuracy of the position information detected by the GPS sensor and the second information detected by a sensor other than the GPS sensor are acquired. The estimation unit is
By learning the predetermined event using the second information in timing caused estimating apparatus according to any one of claims 1 to 7, characterized in that said predetermined event to estimate the timing generated .. The acquisition unit is
Acquiring a plurality of types of second information used to detect the predetermined event,
The estimation unit is
The timing at which the predetermined event occurs is estimated based on the timing at which the predetermined event is detected by a predetermined number or more of the second information of the plurality of types of second information. estimating apparatus according to any one of 1-8. The estimation unit is
Of the plurality of timings at which the predetermined event is detected by each of the plurality of types of second information, the timing selected based on the magnitude of change of each of the plurality of types of second information is the predetermined event. The estimation device according to claim 9 , wherein the estimation is performed as a timing at which the occurrence occurs. The estimation unit is
The estimation device according to claim 10 , wherein the timing selected based on the weight of each of the plurality of types of second information and the magnitude of the change is estimated as the timing at which the predetermined event has occurred. A computer-implemented estimation method,
An acquisition step of acquiring first information and second information detected at a higher frequency than the first information;
An estimation step of estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
Only including,
The acquisition step is
An estimation method, characterized in that the first information having a higher detection accuracy for the predetermined event than the second information is acquired . An acquisition procedure for acquiring the first information and the second information detected at a higher frequency than the first information;
An estimation procedure for estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
To the computer ,
The acquisition procedure is
An estimation program, characterized in that the first information having a higher detection accuracy for the predetermined event than the second information is acquired . A computer-implemented estimation method,
An acquisition step of acquiring first information and second information detected at a higher frequency than the first information;
An estimation step of estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
Including
The estimation step is
The timing at which the predetermined event is detected by the second information is estimated as the timing at which the predetermined event occurs before the timing at which the predetermined event is detected by the first information.
An estimation method characterized by the above. An acquisition procedure for acquiring the first information and the second information detected at a higher frequency than the first information;
An estimation procedure for estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
To the computer,
The estimation procedure is
The timing at which the predetermined event is detected by the second information is estimated as the timing at which the predetermined event occurs before the timing at which the predetermined event is detected by the first information.
An estimation program characterized by the above. A computer-implemented estimation method,
An acquisition step of acquiring first information and second information detected at a higher frequency than the first information;
An estimation step of estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
Including
The estimation step is
When the predetermined event is detected by the second information, a sensor for detecting the first information is caused to detect the first information.
An estimation method characterized by the above. An acquisition procedure for acquiring the first information and the second information detected at a higher frequency than the first information;
An estimation procedure for estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
To the computer,
The estimation procedure is
When the predetermined event is detected by the second information, a sensor for detecting the first information is caused to detect the first information.
An estimation program characterized by the above. A computer-implemented estimation method,
An acquisition step of acquiring first information and second information detected at a higher frequency than the first information;
An estimation step of estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
Including
The acquisition step is
Acquiring the first information detected by a predetermined sensor and the second information detected by a sensor other than the predetermined sensor,
The estimation step is
As the timing when the predetermined event occurs, the timing when the user moves between the outdoor and the indoor is estimated.
An estimation method characterized by the above. An acquisition procedure for acquiring the first information and the second information detected at a higher frequency than the first information;
An estimation procedure for estimating the occurrence of a predetermined event based on the first information and estimating the timing at which the predetermined event occurs based on the second information;
To the computer,
The acquisition procedure is
Acquiring the first information detected by a predetermined sensor and the second information detected by a sensor other than the predetermined sensor,
The estimation procedure is
As the timing when the predetermined event occurs, the timing when the user moves between the outdoor and the indoor is estimated.
An estimation program characterized by the above.

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