JP2018010620A - Electronic apparatus, selection control system, selection method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily acquire necessary information according to a behavior state of a user.SOLUTION: The electronic apparatus comprises: a sensor unit 16 which acquires a plurality of types of sensor information; a behavior state determination unit 51 which determines a behavior state of a target person; a notification control unit 53 which, on the basis of a determination result by the behavior state determination unit 51, selects sensor information corresponding to the determination result from among a plurality of types of sensors as sensor information for notifying a user; and an output unit 18. The behavior state determination unit 53 determines a behavior state of the user on the basis of sensor information such as biological information and external environment information obtained by the sensor unit 16. The notification control unit 53 controls the electronic apparatus so as to notify the user of the sensor information corresponding to the behavior state of the user determined by the behavior state determination unit 51 through the output unit 18.SELECTED DRAWING: Figure 5

Description

  The present invention relates to an electronic device, a selection control system, a selection method, and a program.

  Conventionally, there is a device that includes a plurality of sensors and measures the amount of activity of a user. For example, as in the technique described in Patent Document 1, there is a technique for acquiring the number of steps and the moving distance of a user in a mobile phone including a plurality of sensors and notifying the user.

JP 2009-88989 A

  However, due to the increase in the types of sensors accompanying the recent enhancement of functions of mobile terminals and tablets, it is necessary for the user to perform sensor selection operations each time when confirming desired sensor information. It took time and effort.

  The present invention has been made in view of such problems, and an object thereof is to enable a user to confirm desired sensor information without trouble.

  In order to solve the above problems, an electronic apparatus according to an embodiment of the present invention includes an acquisition unit that acquires a plurality of types of sensor information, and a determination unit that determines an action state of the subject from the sensor information acquired by the acquisition unit. And output means for outputting sensor information corresponding to the determination result of the plurality of types of sensors based on the determination result by the determination means.

  According to the present invention, the user can confirm desired sensor information without trouble.

It is a block diagram which shows the structure of the hardware of the electronic device which concerns on one Embodiment of this invention. It is drawing which shows the example of the display pattern of the electronic device which concerns on one Embodiment of this invention. It is a figure which shows an example of the data structure of an input data table. (A) is a table | surface which shows the table of the action pattern used for action estimation in this embodiment, (b) is a table | surface which shows the combination of the sensor information set corresponding to an action pattern. It is a functional block diagram which concerns on the alerting | reporting process of this invention. It is a flowchart which shows the whole flow in a sensor information selection process. FIG. 7 is a detailed flowchart relating to a part of sensor information acquisition suitable for an action state in the flowchart of FIG. 6. It is a block diagram of a server concerning one embodiment of the present invention. It is a sequence diagram which shows the flow of the process which concerns on the selection control system of this invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram showing a hardware configuration of an electronic device 1 according to an embodiment of the present invention.
The electronic device 1 is configured as a mobile terminal such as a smartphone or a wrist terminal, for example.

  The electronic device 1 includes a processor (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, a sensor unit 16, and an input unit 17. An output unit 18, a storage unit 19, a communication unit 20, and a drive 21.

  The processor 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 19 to the RAM 13.

  The RAM 13 appropriately stores data necessary for the processor 11 to execute various processes.

  The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output interface 15 is also connected to the bus 14. A sensor unit 16, an input unit 17, an output unit 18, a storage unit 19, a communication unit 20, and a drive 21 are connected to the input / output interface 15.

  The sensor unit 16 includes a biological sensor 111, an environment sensor 112, and an image sensor 113. The biosensor 11 is a six-axis acceleration sensor capable of detecting a moving direction, a gyro sensor capable of detecting a direction, a magnetic sensor capable of detecting a combination of rotation and orientation, and biological information such as a pulse (heartbeat), blood pressure, and body temperature. Includes multiple sensors to measure. The biological information measured here is stored in the storage unit 19. The environment sensor 112 includes a plurality of sensors that measure environment information such as the environment in which the user is placed, for example, position, temperature, atmospheric pressure, humidity, ultraviolet light amount, and noise. For example, a GPS unit that receives GPS signals from a plurality of GPS satellites via a GPS receiving antenna is provided, and environment information measured by the environment sensor 112 is stored in the storage unit 19.

The imaging sensor 113 includes an optical lens unit and an image sensor (not shown), and acquires the user's biological information and environmental information by analyzing the captured content.
For example, by detecting the intensity of the user's action from the degree of blur of the captured image, or by determining that the user is at the waterside when a river or sea is reflected in the image, the accuracy can be increased. A user's action state can be determined.

  The optical lens unit is configured by a lens that collects light, for example, a focus lens or a zoom lens, in order to photograph a subject. The focus lens is a lens that forms a subject image on the light receiving surface of the image sensor. The zoom lens is a lens that freely changes the focal length within a certain range. The optical lens unit is also provided with a peripheral circuit for adjusting setting parameters such as focus, exposure, and white balance as necessary.

The image sensor includes a photoelectric conversion element, AFE (Analog Front End), and the like. The photoelectric conversion element is composed of, for example, a CMOS (Complementary Metal Oxide Semiconductor) type photoelectric conversion element or the like. A subject image is incident on the photoelectric conversion element from the optical lens unit. Therefore, the photoelectric conversion element photoelectrically converts (captures) the subject image, accumulates the image signal for a predetermined time, and sequentially supplies the accumulated image signal as an analog signal to the AFE.
The AFE performs various signal processing such as A / D (Analog / Digital) conversion processing on the analog image signal. Through various signal processing, a digital signal is generated and output as an output signal of the imaging unit 16.
Hereinafter, the output signal of the imaging unit 16 is referred to as “captured image data”. The data of the captured image is appropriately supplied to the processor 11 and an image processing unit (not shown).

  The input unit 17 includes various buttons and a touch panel provided on the display, and inputs various types of information according to user instruction operations.

  The output unit 18 includes a display, a speaker, and the like, and outputs images and sounds.

The storage unit 19 is a hard disk or a DRAM (Dynamic Random Ac).
cess Memory) and the like, and stores various image data.

  The communication unit 20 can communicate with an external device or an external terminal using short-range wireless communication such as BLE (Bluetooth (registered trademark) Low Energy) or wireless LAN (Local Area Network) based on IEEE802.11. Composed.

  A removable medium 31 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately attached to the drive 21. The program read from the removable medium 31 by the drive 21 is installed in the storage unit 19 as necessary. The removable medium 31 can also store various data such as image data stored in the storage unit 19 in the same manner as the storage unit 19.

FIG. 2 is a schematic diagram illustrating an example of a display pattern in the output unit 18 according to the embodiment of the present invention.
As shown in FIG. 2, the electronic device 1 according to the present embodiment is configured to notify the user by displaying necessary information in the display area 181 and the display area 182 according to the user's action state. .
In this embodiment, since the electronic device 1 is a smart watch as an example, the chronograph area at the time of the clock display is set as the display area 181 and the display area 182 so as to display the sensor information.

  The processor 11 uses the user's biometric information data acquired by the biosensor 111 and the external environment data acquired by the environment sensor 112 to perform the user's exercise from the input data table illustrated in FIG. Determine state and external environment. In addition, you may comprise so that a user's exercise | movement state and an external environment may be determined by adding the data of a user's biometric information acquired by the imaging sensor 113, and the data of an external environment.

Using the determined user's exercise state and external environment, the user's action state is determined from the action state determination table shown in FIG. 4A described later, and the sensor information selection table shown in FIG. Based on the sensor information is selected.
Thereafter, the selected sensor information is displayed in the display area 181 and the display area 182 shown in FIG. 2A, so that necessary sensor information is notified according to the user's action state.

For example, when it is determined that the user's behavior state is “walking” as a result of referring to the behavior state determination table shown in FIG. In the table, sensor information of “step count” and “calorie consumption” is selected.
Thereafter, as in the display state illustrated in FIG. 2B, “step count” information is displayed in the display area 181 in FIG. 2A, and “calorie consumption” information is displayed in the display area 182. The user is notified.

  Further, the display form in the output unit 18 is not limited to the one in which analog hands are simultaneously displayed as shown in FIG. 2A. For example, digital display without a needle as shown in FIG. 2D is performed. Even in this case, the display process is configured.

Further, in FIG. 2A, the configuration is such that two display areas are set in the area of the output unit 18; however, the present invention is not limited to this, and more display areas can be set in the area of the output unit 18. May be.
By configuring as described above, the user can view more sensor information at a time.

  FIG. 3A shows an example of the data structure of the input data table 121a in which the user's movement state determined based on the biological information acquired from the biological sensor 111 is set. FIG. An example of the data structure of the input data table 121b set based on the external environment information acquired from is shown.

  According to the input data table 121a of FIG. 3A, it is possible to acquire the user's exercise state such as “walking” and “still” from the biological information such as the heartbeat, the pulse, and the operation log acquired from the biological sensor 111. These pieces of information are set in the input data table 122a of the storage unit 19 under the control of the processor 11. Further, by having environment information acquired from the environment sensor 112, or a GPS trajectory and map data, it is possible to check altitude and other geographical attributes of certain position information. For example, it is possible to determine whether the user is currently on the road, on a mountain, lake, sea, etc., or at an altitude of more than ○ m, road / inside / in the vicinity of a mountain / ◇◇ on the lake. These pieces of information are set in the input data table 122b of the storage unit 19 under the control of the processor 11.

  FIG. 4A shows an example of the data structure of the behavior state determination table 122a stored in the storage unit 19, and FIG. 4B shows the sensor information selection table 122b stored in the storage unit 19 as well. An example of the data structure is shown. FIG. 4A is a table composed of a matrix of the exercise state and the external environment stored in the input data table, and is used to determine the current user action state. FIG. 4B is a table used for selecting a combination of sensor information (display information 1 and display information 2) necessary for the user in the action state. Both are determined or predicted by the exercise state (input data table 121a) set in the input data table 121 and the external environment (input data table 121b).

  According to the behavior state determination table 122a of FIG. 4A, if the motion state of the input data table 121a is “walking” and the external environment of the input data table 121b is “on the road”, the user behavior state is “ If the movement state is “walking” and the external environment is “mountain” or “altitude increase / decrease is greater than or equal to ○ m / h”, the user's action state is “hiking” Is determined. The determination is made by the processor 11. If the exercise state of the input data table 121a is “still”, the user's action state is determined to be “rest” regardless of the external environment of the input data table 121b. In addition, when the motion state of the input data table 121a is “there is a specific arm movement”, the user's action state is when the external environment of the input data table 121b is “mountain”, “lake”, and “sea”, respectively. It is determined as “fishing”.

In the behavior pattern determination table 122a shown in FIG. 4A, the mark x indicates a behavior pattern that cannot normally occur.
However, this is given as an example, and the behavior pattern to which the present invention can be applied is not limited to the description of the behavior pattern determination table 122a, and a behavior pattern may be arbitrarily input at the mark X.

  The sensor information selection table 122b shown in FIG. 4B is a sensor information selection table corresponding to the behavior state. That is, if the determined or predicted behavior state of the user is “walking”, the sensor information necessary for the user is estimated to be “step count” and “calorie consumption”. It is set to notify the user. In addition, when the behavior pattern is determined to be “running”, the sensor information necessary for the user is estimated to be “speed” and “calorie consumption”, and thus the two data are set to be notified to the user. ing.

  If the user's action state is “fishing”, the sensor information necessary for the user is estimated to be “weather” and “atmospheric pressure”, so that the two data are set to be notified to the user. ing. In the sensor information selection sensor control table 122b shown in FIG. 4B, a combination of sensor information necessary for the user is determined in advance, but this combination may be configured so that the user can arbitrarily set the combination. Well, with such a configuration, sensor information necessary for the user can be notified more reliably.

  In the above-described configuration, when sensor information suitable for the user's action state is selected in the sensor information selection table 122b, the electronic device 1 activates a sensor necessary for acquiring the selected sensor information and does not need the sensor. May be configured to stop.

  Further, in the above-described sensor control configuration, it is assumed that the sensor necessary for determining the user's behavior state is not necessary for acquiring the selected sensor information in order to repeatedly perform the sensor information selection / notification process. Also, it may be configured not to stop.

FIG. 5 is a functional block diagram illustrating a functional configuration for executing the notification process among the functional configurations of the electronic apparatus 1.
The notification process refers to a series of processes for notifying the user of necessary information from information acquired from the sensor or the outside by the electronic device 1 when the user's behavior state is estimated.
“Notification process” includes “behavior state determination process based on operation state and environment information” and “sensor information selection process based on action state”.

  When executing the notification process, as shown in FIG. 5, in the processor 11, the behavior state determination unit 51, the sensor control unit 52, and the notification control unit 53 function to perform the notification process to the user. .

  In addition, an action state storage unit 71 and a sensor information storage unit 72 are set in one area of the storage unit 19.

The behavior state storage unit 71 stores a behavior state determination table 122a for determining the user's behavior state based on the sensor information acquired from the sensor unit 16, and also stores information regarding the tendency of the user's behavior state determination result. .
The sensor information storage unit 72 stores a sensor information selection table for selecting sensor information to be notified corresponding to the user's action state, and change information when the user changes a combination of sensor information stored in advance. Is stored as the change tendency information of the user.

  The behavior state determination unit 51 analyzes the state of the electronic device 1 from the sensor information acquired by the sensor unit 16, and the behavior state determination stored in the behavior state storage unit 71 is the behavior state of the user carrying the electronic device 1. Determine based on the table.

  The sensor control unit 52 activates a sensor necessary for acquiring sensor information corresponding to the user's behavior state determined by the behavior state determination unit 51, and performs control so as to stop a sensor not related to the behavior state determination. Do.

  The notification control unit 53 acquires sensor information corresponding to the user's behavior state determined by the behavior state determination unit 51 from the sensor information storage unit 72, and outputs / notifies the sensor information by the output unit 18.

  Hereinafter, the operation (notification process) of the electronic apparatus 1 according to the first embodiment of the present invention shown in FIGS. 1 to 6 will be described in detail with reference to the flowcharts of FIGS. 6 and 7. Each step described below can be realized by causing a computer to execute a corresponding program.

(basic action)
FIG. 6 is a flowchart showing the basic operation of the electronic apparatus 1 according to the embodiment of the present invention. According to FIG. 6, in the electronic device 1 according to the embodiment of the present invention, the biometric sensor 111 of the sensor unit 16 detects the user's physical condition data (biometric information), and the processor 11 acquires this to behave. The data is sent to the determination unit 51 (step S100). Next, the environment sensor 112 detects external environment data (environment information), and the processor 11 acquires this and passes it to the behavior state determination unit 51 (step S101). At this time, the behavior state determination unit 51 also acquires GPS and other data detected by the environment sensor 112. In addition, the order of measurement and acquisition of biological information and environmental information is arbitrary, and is acquired in the order detected by each sensor.

  The behavior state determination unit 51 of the processor 11 determines the user's behavior state based on the behavior state determination table 122 stored in the behavior state storage unit 71 (step S102). In determining the behavioral state, the behavioral state determination unit 51 is based on the biological information and environmental information acquired from the sensor unit 16 and is suitable for the user state from the exercise state and the external environment shown in the input data tables 121a and 121b. Search for. Then, the action state determination table 122a is indexed based on the exercise state and the external environment detected from the input data table 121. For example, when the exercise state set in the input data table 121a is “walking” and the external environment set in the input data table 121b is “on the road”, the behavior state determination unit 51 adds the behavior state determination table 122a to the behavior state determination table 122a. Based on this, the user's action state is determined as “walking”.

  Subsequently, the behavior state determination unit 51 executes a behavior history learning process based on the determination result (step S105). The behavior state determination unit 51 controls the learning result to be reflected in the typical behavior pattern stored in the behavior pattern determination table 122a and stored as the user's behavior tendency. That is, the behavior history is sequentially updated according to the user's behavior, and is predicted with higher accuracy by referring to the behavior tendency in which the behavior state is updated.

Subsequently, the notification control unit 53 receives the determination result by the behavior state determination unit 51 and performs a process of selecting sensor information corresponding to the determined user behavior state. (Step S105).
A specific processing flow will be described later with reference to the flowchart of FIG.

After the selection process of the sensor information by the notification control unit 53, the sensor control unit 52 performs a sensor control process of the sensor unit 16, starts a sensor necessary for the notification process, and stops a sensor unnecessary for the notification process. (Step S106)
For example, the sensor control unit 52 activates a sensor necessary for the notification process based on the sensor information selected by the notification control unit 53. Further, if it is determined that an unnecessary sensor that is not related to acquisition of the selected sensor information and is not related to behavioral state determination is activated, and it is determined that an unnecessary sensor is activated, this unnecessary Stop the sensor.

The notification control unit 53 notifies the user by outputting the sensor information selected in step S105 to the output unit 18. (Step S107)
For example, as shown in FIG. 2B, the notification control unit 53 displays the selected sensor information in the display areas 181 and 182 of the display, thereby notifying the sensor information that is necessary according to the user's action state. .

After performing the notification process to the user, the behavior state determination unit 51 determines whether there is a change in the user's behavior state based on the sensor information from the sensor unit 16. (Step S108)
If it is determined in step S108 that the user's behavior state has changed, the process returns to step 101, and the notification process is performed again.
If it is determined in step S108 that there is no change in the user behavior state, the process proceeds to step S109.

In step S109, it is determined whether an operation to end the notification process has been detected.
For example, when an operation to end the notification process is input to the input unit 17 by the user, or when an operation input from the user and user operation information are not detected for a long time, the electronic device 1 ends the notification process. .
In addition, when the above-described end operation is not detected, the process returns to step S107.

(Sensor information selection process)
With reference to the flowchart shown in FIG. 7, the flow of sensor information selection processing according to the user's action state by the notification control unit 53 will be described in detail.

First, sensor information corresponding to the user's behavior state determined by the behavior state determination unit 51 in step S103 is selected. (Step S200)
For example, the notification control unit 53 selects sensor information corresponding to the determined action state of the user with reference to the sensor information selection table 122b stored in the sensor information storage unit 72. For example, when it is determined that the user's behavior state is running, “speed” and “calorie consumption” that are combinations of sensor information corresponding to running are selected from the sensor information selection table 122b.

Next, it is determined whether a change history by the user is stored for the selected combination of sensor information. (Step S201)
For example, the notification control unit 53 refers to the sensor information storage unit 72 for the presence / absence of information related to the change history indicating whether or not the user has changed the sensor information for the selected combination of sensor information. To confirm.
If it is determined that the above change history is recorded, the process proceeds to step S202.
If it is determined that the change history is not recorded, the process returns to the basic operation flow.

In step S202, the notification control unit 53 changes the combination of sensor information according to the change history of the sensor information by the user.
For example, the notification control unit 53 refers to the sensor information change history by the user, changes the predetermined combination of sensor information to the combination of sensor information changed by the user, and returns to the basic operation flow.

  With the above configuration, in the electronic device 1 according to the embodiment of the present invention, the behavior state determination unit 51 refers to the behavior state storage unit 71 that stores the behavior state, and selects sensor information suitable for the user's behavior state. In order to make the output unit 18 output, information necessary for the user can be automatically provided to the user according to the user's action state. Therefore, the user can automatically obtain necessary information corresponding to various actions of the user without manually selecting necessary information from various information.

In the present embodiment, the sensor information change history by the user is referred to, and the predetermined combination of sensor information is changed to the sensor information combination changed by the user. However, the change history is recorded. Even a combination of sensor information that is not performed may be changed to a combination of sensor information that suits the user's preference by reflecting a change history recorded in another combination of sensor information.
For example, when the combination of “steps” and “calorie consumption” corresponding to “walking” is frequently changed to “steps” and “temperature” by the user, the user's action is determined to be “running”. Alternatively, a combination of “speed” and “temperature” may be changed and notified.

In the present embodiment, the behavior state of the user is detected, and after the sensor information to be notified is selected and displayed, if the change in the behavior state is detected again, the sensor information to be notified is switched. However, it is not limited to this.
Once the user's behavior state is detected and sensor information to be notified is selected and displayed, a change in the user's behavior state may not be detected for a certain period of time.

In this embodiment, the sensor information combination corresponding to the determined behavior state is displayed. However, all or a plurality of displayable sensor information is displayed, and the sensor information corresponding to the behavior state is displayed. May be configured to be displayed with emphasis.
For example, among a plurality of displayed sensor information, the sensor information display area corresponding to the user's behavior state is displayed wider than the other sensor information, or the brightness is displayed higher than the other sensor information. These are configured to be displayed at positions that are more conspicuous than other sensor information (the center of the display area, the upper part, etc.).

  In addition, you may comprise the sensor part 16 in a present Example so that it may be provided with the biosensor and environmental sensor from which precision differs. For example, when the determined behavioral state of the user is a desirable behavioral state where it is desirable to display sensor information with high accuracy, the sensor information acquired by the sensor with higher accuracy may be preferentially displayed. Further, when the determined user behavior state is a behavior state in which it is desirable to use a sensor with low power consumption, the information acquired by the sensor with low power consumption is displayed with priority even if the accuracy is low. Also good.

In addition, you may comprise so that a user may be alert | reported with a sound and light that the user's action state changed.
For example, when it is determined that the user's behavior state has changed from “walking” to “running”, a notification by sound that “the behavior state has changed” or a notification by light emission of a light emitting member included in the electronic device It may be configured to notify the user that the behavior has changed and the sensor information to be notified has changed.

  In this embodiment, the sensor that is not necessary for acquiring the sensor information selected based on the user's behavior state is configured to be stopped. However, the information acquisition frequency by the sensor is not used, but the sensor that is not necessary is stopped. You may comprise so that (frequency of sensing) may be lowered.

  In the present embodiment, the output unit is configured to notify the user of the sensor information by displaying the sensor information on the display. However, the present invention is not limited to this, and the sensor information desired by the user is output from the provided microphone as sound. You may comprise so that it may alert | report by outputting.

  In the present embodiment, the above-described function is implemented in one electronic device. However, sensor information acquired by the electronic device is sent to a server to determine a behavioral state, and sensor information based on the result is obtained. The above-described processing may be performed between a plurality of devices so that the notification processing is performed by an electronic device having an output unit.

  In this embodiment, sensor information corresponding to a determination result among a plurality of types of sensors is selected as sensor information to be notified to the user, but the sensor information may be transmitted to the outside via a communication unit.

FIG. 8 is a block diagram for executing the action determination process in the functional configuration of the server 2.
The action determination process is a series of processes for estimating a user's action from sensor information.

When executing the action determination process, as illustrated in FIG. 8, the control unit 81, the storage unit 82, the communication unit 83, and the determination unit 84 function to perform the user action determination process.
The server 2 includes a control unit 81, a storage unit 82, a communication unit 83, and a determination unit 84.

  The control unit 81 has a processor function, and controls data communication among the storage unit 82, the communication unit 83, and the determination unit 84 in the server 2, and further controls processing of each unit.

  The storage unit 82 is configured by a hard disk or a DRAM (Dynamic Random Access Memory) or the like, and is based on the input data table 121a in which the user's exercise state determined based on the received biological information is set, and on the received external environment information. An input data table 121b to be set, a behavior state determination table 122a for determining a user's behavior state based on the received sensor information, and a sensor information selection table 122b for determining a selection table of sensor information according to the behavior state And information on the tendency of the user's behavior state determination result is also stored.

  The communication unit 83 can communicate with an external device / external terminal using short-range wireless communication such as BLE (Bluetooth (registered trademark) Low Energy) or IEEE802.11 wireless LAN (Local Area Network). Composed.

  The determination unit 84 analyzes the state of the user from the received sensor information, and determines the user's behavior state based on the behavior state determination table 122 a stored in the storage unit 82.

  Hereinafter, the processing of the selection control system of the present invention will be described in detail with reference to the sequence diagram of FIG. Each step described below can be realized by causing a computer to execute a corresponding program.

  FIG. 9 is a sequence diagram showing the flow of processing according to the selection control system of the present invention. According to FIG. 9, the electronic device 1 of the selection control system of the present invention includes user physical condition data (biological information) acquired by the biosensor 111 of the sensor unit 16, external environment data (environment information) acquired by the environmental sensor 112. ) And other data such as GPS are acquired as sensor information (step S300). In addition, the order of measurement and acquisition of biological information and environmental information is arbitrary, and is acquired in the order detected by each sensor.

  Subsequently, the electronic device 1 transmits the acquired sensor information to the server 2 via the communication unit 20 (step S301).

  Subsequently, the server 2 receives sensor information via the communication unit 83 (step S400), and the received sensor information is determined by the determination unit 84 based on the behavior state determination table 122a stored in the storage unit 82. Is determined (step S401). In determining the behavioral state, based on the acquired sensor information, data suitable for the user's state is retrieved from the exercise state and the external environment shown in the input data tables 121a and 121b. Then, the action state determination table 122a is indexed based on the exercise state and the external environment detected from the input data table 121.

  Subsequently, the server 2 performs a process of selecting sensor information corresponding to the determined user behavior state (step S402). And the selection result of the acquired sensor is transmitted to the electronic device 1 via the communication part 83 (step S403).

  Subsequently, the electronic device 1 receives the determination result via the communication unit 20 (step S303), receives the determination result, and outputs sensor information corresponding to the determined action state of the user (step S304). For example, the sensor control unit 52 activates a sensor necessary for the notification process based on the sensor information selected by the notification control unit 53. Further, if it is determined that an unnecessary sensor that is not related to acquisition of the selected sensor information and is not related to behavioral state determination is activated, and it is determined that an unnecessary sensor is activated, this unnecessary Stop the sensor.

  In the present embodiment, information is communicated between the electronic device 1 and the server 2 via the network, and processing performed by the electronic device 1 and the server 2 is changed in view of the communication status of the network. It is good. For example, the server 2 performs a process of selecting sensor information corresponding to the determined user behavior state (step S402), but the server 2 transmits the determination result to the electronic device 1 and the electronic device 1 receives the determination result. Based on the determination result, sensor information selection processing corresponding to the determined action state of the user may be performed.

  In the present embodiment, a circular display is illustrated, but the display is not limited to this, and the display of the output unit 18 may be polygonal or curved, and the shape and size are not limited.

  In the present embodiment, a plurality of sensor information is displayed on one display. However, the present invention is not limited to this, and in a notification system including a plurality of displays, sensor information is distributed and displayed on a plurality of displays. It may be configured.

  In this embodiment, a plurality of pieces of sensor information are displayed on one display. However, the present invention is not limited to this, and only one type of sensor information suitable for the user's action state is notified on one display. It may be configured.

  As mentioned above, although this invention was demonstrated using each embodiment, it cannot be overemphasized that the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above embodiment. Further, it is apparent from the description of the scope of claims that embodiments with such changes or improvements can be included in the technical scope of the present invention.

The invention described in the scope of claims attached to the application of this application will be added below.
The item numbers of the claims described in the appendix are as in the scope of the claims initially attached to the application of this application.
[Appendix 1]
An acquisition means for acquiring multiple types of sensor information;
A determination means for determining the behavior state of the target person;
Selection means for selecting sensor information corresponding to the determination result among a plurality of types of sensors as sensor information to notify the user based on the determination result by the determination means;
An electronic device comprising:
[Appendix 2]
The determination means determines the behavior state of the target person from the sensor information acquired by the acquisition means.
The electronic device according to claim 1.
[Appendix 3]
The plurality of types of sensors include a first sensor that acquires information related to the exercise state of the subject, and a second sensor that acquires information related to the external environment of the subject,
The said determination means determines a subject's action state based on the information acquired by the said 1st sensor or the said 2nd sensor. The any one of Claim 1 to 2 characterized by the above-mentioned. Electronic equipment.
[Appendix 4]
A storage means for storing a plurality of types of behavior states of the target person;
The determination means determines the behavior state of the subject from a plurality of types of behavior states stored in the storage means.
The electronic device according to any one of claims 1 to 3, wherein
[Appendix 5]
A storage control means for associating and storing the plurality of types of behavior states and at least one sensor information of the plurality of types of sensors in the storage means;
The selection means selects sensor information corresponding to the behavior state determined by the determination means based on the storage means;
The electronic device according to claim 4.
[Appendix 6]
The selection means includes display means for displaying the sensor information,
The display means includes a plurality of display areas for displaying the sensor information.
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 7]
The storage control means includes a storage changing means for changing a combination of the behavior state and sensor information stored in association with the storage means,
Trend information generating means for generating change trend information based on the frequency of combination change by the memory changing means,
The selection means selects predetermined sensor information based on a combination of the behavior state and sensor information stored in the storage means and the change tendency information.
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 8]
The selection means preferentially notifies the user of sensor information acquired by a sensor corresponding to the determination among the plurality of types of sensors.
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 9]
The selection unit selects sensor information acquired by the sensor corresponding to the determination among the plurality of types of sensors from the plurality of types of sensors, and provides the user with the sensor information acquired by the selected sensors. To inform,
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 10]
Storing the plurality of types of behavior states in association with sensor information of one of the plurality of types of sensors;
Selecting sensor information corresponding to the determined behavioral state based on the behavioral state of the subject,
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 11]
Storing one behavior state of the plurality of types of behavior states and the plurality of types of sensor information in association with each other;
Based on the behavior state of the target person, sensor information corresponding to the determined behavior state is selected.
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 12]
The sensor information is information acquired by the sensor.
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 13]
Based on the determination result, specify which sensor of the plurality of types of sensors to use,
The electronic device according to claim 1, wherein the electronic device is an electronic device.
[Appendix 14]
With a communication unit,
The selection unit transmits the sensor information from the communication unit to the outside via a network.
The electronic apparatus according to claim 1, wherein the electronic apparatus is an electronic apparatus.
[Appendix 15]
A selection control system for transmitting arbitrary information between a server and an electronic device via a network,
The server
Determining means for determining the behavior state of the subject from the received sensor information;
Selection means for selecting a sensor based on the determination result of the behavior state;
Transmitting means for transmitting the selected selection result to the electronic device,
The electronic device is
Multiple types of sensors,
An acquisition means for acquiring multiple types of sensor information;
Transmitting means for transmitting the sensor information to the server;
Selection means for selecting sensor information corresponding to the determination result among the plurality of types of sensors as sensor information to be notified to the user based on the determination result by the determination means;
A selection control system comprising:
[Appendix 16]
An acquisition step of acquiring multiple types of sensor information;
A determination step for determining the behavior state of the target person;
A selection step of selecting sensor information corresponding to the determination result among the plurality of types of sensors as sensor information to notify the user based on the determination result of the determination step;
The selection method characterized by comprising.
[Appendix 17]
Computer
Acquisition process to acquire multiple types of sensor information,
A determination process for determining the behavior state of the subject person,
A selection process for selecting sensor information corresponding to the determination result of the plurality of types of sensors as sensor information to notify the user based on the determination result by the determination process,
A program characterized by functioning as

  DESCRIPTION OF SYMBOLS 1 ... Electronic device, 11 ... Processor, 12 ... ROM, 13 ... RAM, 14 ... Bus, 15 ... Input / output interface, 16 ... Sensor part (111 ... Biosensor, 112 ... Environmental sensor, 113 ... Imaging sensor), 17 ... Output unit 18 ... Output unit 19 ... Storage unit 2 ... Server 20 ... Communication unit 21 ... Drive 31 ... Removable media 81 ... Control unit 82 ... Storage unit 83 ... Communication unit 84 ... Determination unit

Claims (17)

An acquisition means for acquiring multiple types of sensor information;
A determination means for determining the behavior state of the target person;
Selection means for selecting sensor information corresponding to the determination result among a plurality of types of sensors as sensor information to notify the user based on the determination result by the determination means;
An electronic device comprising: The determination means determines the behavior state of the target person from the sensor information acquired by the acquisition means.
The electronic device according to claim 1. The plurality of types of sensors include a first sensor that acquires information related to the exercise state of the subject, and a second sensor that acquires information related to the external environment of the subject,
The said determination means determines a subject's action state based on the information acquired by the said 1st sensor or the said 2nd sensor. The any one of Claim 1 to 2 characterized by the above-mentioned. Electronic equipment. A storage means for storing a plurality of types of behavior states of the target person;
The determination means determines the behavior state of the subject from a plurality of types of behavior states stored in the storage means.
The electronic device according to any one of claims 1 to 3, wherein A storage control means for associating and storing the plurality of types of behavior states and at least one sensor information of the plurality of types of sensors in the storage means;
The selection means selects sensor information corresponding to the behavior state determined by the determination means based on the storage means;
The electronic device according to claim 4. The selection means includes display means for displaying the sensor information,
The display means includes a plurality of display areas for displaying the sensor information.
The electronic device according to claim 1, wherein the electronic device is an electronic device. The storage control means includes a storage changing means for changing a combination of the behavior state and sensor information stored in association with the storage means,
Trend information generating means for generating change trend information based on the frequency of combination change by the memory changing means,
The selection means selects predetermined sensor information based on a combination of the behavior state and sensor information stored in the storage means and the change tendency information.
The electronic device according to claim 1, wherein the electronic device is an electronic device. The selection means preferentially notifies the user of sensor information acquired by a sensor corresponding to the determination among the plurality of types of sensors.
The electronic device according to claim 1, wherein the electronic device is an electronic device. The selection unit selects sensor information acquired by the sensor corresponding to the determination among the plurality of types of sensors from the plurality of types of sensors, and provides the user with the sensor information acquired by the selected sensors. To inform,
The electronic device according to claim 1, wherein the electronic device is an electronic device. Storing the plurality of types of behavior states in association with sensor information of one of the plurality of types of sensors;
Selecting sensor information corresponding to the determined behavioral state based on the behavioral state of the subject,
The electronic device according to claim 1, wherein the electronic device is an electronic device. Storing one behavior state of the plurality of types of behavior states and the plurality of types of sensor information in association with each other;
Based on the behavior state of the target person, sensor information corresponding to the determined behavior state is selected.
The electronic device according to claim 1, wherein the electronic device is an electronic device. The sensor information is information acquired by the sensor.
The electronic device according to claim 1, wherein the electronic device is an electronic device. Based on the determination result, specify which sensor of the plurality of types of sensors to use,
The electronic device according to claim 1, wherein the electronic device is an electronic device. With a communication unit,
The selection unit transmits the sensor information from the communication unit to the outside via a network.
The electronic apparatus according to claim 1, wherein the electronic apparatus is an electronic apparatus. A selection control system for transmitting arbitrary information between a server and an electronic device via a network,
The server
Determining means for determining the behavior state of the subject from the received sensor information;
Selection means for selecting a sensor based on the determination result of the behavior state;
Transmitting means for transmitting the selected selection result to the electronic device,
The electronic device is
Multiple types of sensors,
An acquisition means for acquiring multiple types of sensor information;
Transmitting means for transmitting the sensor information to the server;
Selection means for selecting sensor information corresponding to the determination result among the plurality of types of sensors as sensor information to be notified to the user based on the determination result by the determination means;
A selection control system comprising: An acquisition step of acquiring multiple types of sensor information;
A determination step for determining the behavior state of the target person;
A selection step of selecting sensor information corresponding to the determination result among the plurality of types of sensors as sensor information to notify the user based on the determination result of the determination step;
The selection method characterized by comprising. Computer
Acquisition process to acquire multiple types of sensor information,
A determination process for determining the behavior state of the subject person,
A selection process for selecting sensor information corresponding to the determination result of the plurality of types of sensors as sensor information to notify the user based on the determination result by the determination process,
A program characterized by functioning as

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