JP2019164634A - Wearable device, health management support method, and health management support program - Google Patents

Abstract

To provide a wearable device which can specify a name of a disease.SOLUTION: A wearable device 1 has an operation tendency acquiring means 111 for acquiring operation tendency information relating to an operation tendency of a user, a disease name acquiring means 112 for acquiring a name of a disease of the user, and a notifying means 18 for notifying information relating to the name of the disease acquired by the disease name acquiring means 112. The operation tendency of the user is a voice, gesture or expression of the user.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a wearable device, a health management support method, and a health management support program.

  Conventionally, in order to identify a symptom of a mental illness of a user, a biological sensor, a behavior sensor, and an environment sensor are used, and based on each detection result detected by each of the sensors, the user's emotion, user behavior, and user environment A mental care support system for determining, analyzing user symptoms, and classifying user symptoms is disclosed (see Patent Document 1).

JP 2013-182493 A

  However, the mental care support system described in Patent Document 1 merely identifies the symptoms of a mental illness from each user's behavior history and the like, and cannot identify the disease name.

  Therefore, the present invention has been made in view of the above circumstances, and an object thereof is to provide a wearable device, a health management support method, and a health management support program that can specify a disease name.

In order to achieve the above object, the present invention is grasped by the following configuration.
The wearable device according to the present invention includes operation tendency acquisition means for acquiring operation tendency information related to a user's operation tendency, and disease name acquisition means for acquiring a user's disease name based on the operation tendency information.

  The health management support method according to the present invention is executed by a wearable device, and obtains a user's disease name based on the step of obtaining movement trend information related to the movement tendency of the user and the movement tendency information. Steps.

  The health management support program according to the present invention executes at least a motion acquisition process for acquiring motion trend information related to a user's motion trend and a disease name acquisition process for acquiring a user's disease name based on the motion trend information. It is.

  ADVANTAGE OF THE INVENTION According to this invention, the wearable apparatus which can identify a disease name, the health management assistance method, and a health management assistance program can be provided.

It is a perspective view which shows the external appearance of the wearable apparatus of embodiment. It is a block diagram which shows the structure of the wearable apparatus of embodiment. It is a flowchart which shows the health management assistance process of the wearable apparatus of embodiment. It is a figure which shows an example of the operation tendency which concerns on a user's symptom. It is a figure which shows an example of the table of the disease name applicable to a user's symptom. It is a figure which shows an example and explanation corresponding to a disease name.

  Hereinafter, modes for carrying out the present invention (hereinafter referred to as “embodiments”) will be described in detail with reference to the drawings. In the embodiments of the present specification, the same elements are denoted by the same reference numerals throughout.

(Configuration of wearable device)
First, the configuration of the wearable device 1 according to the present embodiment will be described in detail with reference to FIGS. 1 and 2.
FIG. 1 is a perspective view illustrating an appearance of a wearable device 1 according to the embodiment. FIG. 2 is a block diagram illustrating a configuration of the wearable device 1 according to the embodiment.

  As shown in FIGS. 1 and 2, the wearable device 1 of the present embodiment includes a central processing unit (CPU) 11, at least an input operation unit 12 connected to the central processing unit 11, a display unit 13, and a storage unit. 14, GPS information acquisition means 15, short-range wireless communication means 16, wireless communication means 17, notification means 18, sensor means 19, transfer means 20, and the like, an electronic timepiece (smart watch) worn on the wrist of the user ). However, the wearable device 1 may be of a glasses type or a ring type having at least a part of the above-described configuration.

  The central processing means 11 controls a processing operation corresponding to an input operation in the input operation means 12 and a health management support process to be described later by executing a predetermined control program or algorithm program.

  Further, as shown in FIG. 2, the central processing means 11 includes an action tendency acquisition means 111 that acquires action tendency information related to the action tendency of the user, and a disease name acquisition that acquires a user's disease name based on the action tendency information. Means 112, notification control means 113 for controlling the operation of the notification means 18, and transfer control means 114 for controlling the operation of the transfer means 20.

  In the present embodiment, the control program and algorithm program executed in the central processing unit 11 are stored in the storage unit 14, but the present invention is not limited to this. For example, the control program and algorithm program are stored in the central processing unit 11. It may be incorporated in advance.

  The input operation unit 12 is an input unit such as a button switch, a touch panel, or a microphone provided in the housing of the wearable device 1, and outputs various operation signals based on a user input operation to the central processing unit 11. In the central processing means 11, selection and setting of items and information to be displayed on the display means 13 are performed.

  The display means 13 is for displaying items and information based on clock information and user input operations, and is configured by a display panel such as an organic EL display panel or a liquid crystal display panel having a touch panel function.

  The storage means 14 includes a ROM for storing the control program and algorithm program executed in the central processing means 11, data used when executing the control program and algorithm program executed in the central processing means 11, and the data And a RAM for temporarily storing data to be generated and data to be displayed on the display means 13.

  The GPS information acquisition means 15 is a positioning means provided with a GPS receiver, acquires geographical data and outputs it to the central processing means 11.

  The short-range wireless communication means 16 is for performing communication with an external electronic device (for example, a mobile terminal) at a short distance (for example, less than 20 m) (for example, Bluetooth (registered trademark) communication). In synchronism with other electronic devices, data stored in an external electronic device can be received and stored in the storage unit 14 via the central processing unit 11.

  The wireless communication means 17 is for communicating with an external electronic device (for example, a mobile terminal or a personal computer) at a predetermined distance (for example, less than 150 m) (for example, Wi-Fi; wireless fidelity (registered trademark) communication). For example, mail and messages can be exchanged with an external electronic device.

  In the present embodiment, the notification means 18 is for notifying information related to a disease name, which will be described later, and is configured by an acoustic means such as a buzzer or a speaker, but is not limited to this. It may be constituted by means 13.

  The sensor means 19 includes, for example, an acceleration sensor 19a, a gyro (angular velocity) sensor 19b, a geomagnetic sensor 19c, a pulse sensor 19d, an illuminance sensor 19e for detecting the illuminance of ambient light, and the like. Information, illuminance information, etc. are acquired and output to the central processing means 11. The motion detection means described later is for detecting user motion information, and includes a triaxial acceleration sensor 19a and a triaxial gyro (angular velocity) sensor 19b.

  The transfer means 20 is for transferring information related to a disease name to other external electronic devices that are set in advance (for example, a mobile terminal of a family who lives away). Send to electronic device.

(Health management support processing for wearable devices)
Next, the health management support process of the wearable device 1 will be described in detail with reference to FIGS.
FIG. 3 is a flowchart illustrating the health management support process of the wearable device 1 according to the embodiment. FIG. 4 is a diagram illustrating an example of an operation tendency related to a user's symptom. FIG. 5 is a diagram illustrating an example of a table of disease names corresponding to user symptoms. FIG. 6 is a diagram illustrating an example of explanation and advice corresponding to a disease name.

  First, the central processing means 11 of the wearable device 1 is activated and proceeds from the start to step S1.

  In step S <b> 1, the motion information detection unit detects the motion information of the user in a predetermined section, and proceeds to step S <b> 2. Note that user motion information includes, for example, triaxial acceleration information, triaxial angular velocity information, and the like.

  Next, in step S2, the movement tendency acquisition unit 111 of the central processing unit 11 determines whether or not the user movement information detected by the movement information detection unit exceeds a preset first threshold value. The first threshold value is, for example, a comparison between the waveform relating to the motion information detected by the motion information detection means and the first threshold value, so that the user's motion is not a normal motion but is described later. It is set in order to determine whether or not it is a user's movement tendency in the invention.

  When the user's operation information exceeds the first threshold (in the case of Yes), that is, when it is determined that the user's operation is not the user's normal operation but the user's operation tendency, the process proceeds to step S3. When the operation information is equal to or less than the first threshold (in the case of No), that is, when it is determined that the user's operation is the normal operation of the user, the process returns to step S1.

  The user's movement tendency is a gesture related to the user's symptom. For example, as shown in FIG. 4, the movement of placing the hand on the head at the time of headache, the movement of placing the hand on the forehead when it is hot, and the hand when the shoulder is stiff Touching your shoulders or rubbing your shoulders with your hands, putting your hand in front of your mouth or nose when you cough or runny nose, or blowing your nose with your hands, hitting your hand against your throat or neck when your throat hurts, teething pain Or, when your gums are swollen, touch your hand to your cheek or jaw, touch your hand to your chest when your chest hurts or palpitates, touch your hand to your hips or back when you have back pain, or touch your elbow or knee when you have joint pain Examples thereof include a hitting operation and an operation of placing a hand on the belly during abdominal pain.

  Next, in the case of Yes in step S2, in step S3, the movement tendency acquisition means 111 of the central processing means 11 relates to the movement tendency of the user based on the movement information of the user detected by the movement information detection means. Operation tendency information is acquired and it progresses to Step S4.

  Next, in step S4, the disease name acquisition unit 112 of the central processing unit 11 calculates the degree of difference between the user's movement trend information acquired in step S3 and the model movement trend information stored in the storage unit 14 in advance. Then, the process proceeds to step S5.

  Next, in step S5, the disease name acquisition unit 112 of the central processing unit 11 determines whether or not the difference calculated in step S4 is within a second threshold set in advance for each gesture related to the user's symptom. Determine.

  If the degree of difference calculated in step S4 is within the second threshold (in the case of Yes), that is, if the gesture related to the user's symptom matches the gesture of the model, the process proceeds to step S6, and is calculated in step S4. If the degree of difference exceeds the second threshold (in the case of No), that is, if the gesture related to the user's symptom does not match the gesture of the model, the process returns to step S1. Note that steps S4 and S5 are set to increase the probability of determining whether or not the user's motion information corresponds to the model motion trend information, and the second threshold value is set for each symptom of the model. If there is a certain degree of match even if the gesture related to the user's symptom does not completely match the gesture of the model, the symptom of the user is set. It is set to determine that the gesture related to corresponds to the model gesture.

  Next, in the case of Yes in step S5, in step S6, the disease name acquisition unit 112 of the central processing unit 11 has a symptom corresponding to the motion tendency information acquired in step S3 with a high risk (for example, chest Is hurt).

  If the symptom corresponding to the motion trend information acquired in step S3 is a high risk (in the case of Yes), the process proceeds to step S7, and the symptom corresponding to the motion trend information acquired in step S3 is the risk level. If it is not high (in the case of No), the process branches to step S8.

  Next, in the case of Yes in step S6, in step S7, the disease name acquisition means 112 of the central processing means 11 recognizes this movement tendency as a special movement tendency regardless of the occurrence frequency of the movement tendency of the user, Proceed to step S10.

  On the other hand, in the case of No in step S6, in step S8, the disease name acquisition unit 112 of the central processing unit 11 sets the frequency of the user's movement tendency in a predetermined section in advance for each gesture related to the user's symptoms. It is determined whether or not the threshold value is exceeded. However, the third threshold value is set differently depending on the gesture related to the user's symptom.

  When the frequency of the user's movement tendency in the predetermined section exceeds the third threshold (in the case of Yes), the process proceeds to step S9, and when the frequency of the user's movement tendency in the predetermined section is equal to or less than the third threshold (No Return to step S1.

  Next, in the case of Yes in step S8, in step S9, the disease name acquisition unit 112 of the central processing unit 11 recognizes the user's movement tendency as a predetermined movement tendency, and proceeds to step S10.

  Next, in step S10, the disease name acquisition unit 112 of the central processing unit 11 determines the user's disease name based on the symptoms corresponding to the user's movement tendency (gesture) recognized as a special movement tendency or a predetermined movement tendency. And proceeds to step S11.

  Specifically, in step S10, the disease name acquisition unit 112 of the central processing unit 11 includes a single or a plurality of symptoms corresponding to the user's single or a plurality of movement tendencies (gestures), and a preset user's The disease name corresponding to the symptom is collated with the table (see FIG. 5) to identify (acquire) the disease name of the user, and the process proceeds to step S11.

  For example, if the user repeats the action of placing the hand on the forehead, the action of placing the hand on the elbow or knee, and the action of placing the hand on the belly more than once throughout the day, the symptom corresponding to the action of placing the hand on the forehead is heat. Yes, since the symptom corresponding to the action of placing the hand on the elbow or knee is joint pain, and the symptom corresponding to the action of placing the hand on the stomach is abdominal pain, the disease name acquisition means 112 is shown in FIG. The table can be collated to identify the user's disease name as influenza.

  Next, in step S11, the notification control unit 113 of the central processing unit 11 causes the notification unit 18 to notify the information related to the user's disease name acquired in step S10, and the process proceeds to step S12.

  Specifically, in step S11, the notification control unit 113 of the central processing unit 11 notifies the information on the disease name previously stored in the storage unit 14 based on the user's disease name acquired in step S10. And informing the notification means 18 of a treatment method for the disease name stored in the storage means 14 in advance, and the process proceeds to step S12.

  Then, explaining that the user's disease name is influenza as an example, the notification control means 113 notifies the notification means 18 of the characteristics, causes, and symptoms (information about influenza) of the influenza shown in FIG. The notification means 18 is advised on a treatment method for the influenza shown in FIG.

  Next, in step S12, the transfer control unit 114 of the central processing unit 11 causes the transfer unit 20 to transfer information related to the disease name to another electronic device (for example, a mobile terminal of a family who lives away), thereby managing the health. End the support process.

  Moreover, in this embodiment, although step S12 is performed after execution of step S11, it is not limited to this, For example, you may perform simultaneously with step S11, and after execution of step S10, And you may perform before execution of step S11.

(Effect of embodiment)
The wearable device 1 according to the present embodiment configured as described above includes an operation tendency acquisition unit 111 that acquires operation tendency information related to an operation tendency of the user, and a disease name that acquires the user's disease name based on the operation tendency information. Since the acquisition means 112 is provided, the disease name can be specified by the user's movement tendency.

  Moreover, in the wearable apparatus 1 which concerns on this embodiment, since the alerting | reporting means 18 which alert | reports the information regarding the disease name acquired by the disease name acquisition means 112 is further provided, the alerting | reporting means 18 of the wearable apparatus 1 is automatically information regarding this disease name. By notifying the user, it is possible to save the user from having to look up information related to the disease name.

  Furthermore, in the wearable device 1 according to the present embodiment, the notification unit 18 advises a treatment method for the disease name, so the notification unit 18 of the wearable device 1 automatically advises the treatment method for the disease name, thereby However, it is possible to save the trouble of investigating the treatment for this disease name.

  And in the wearable apparatus 1 which concerns on this embodiment, since the transfer means 20 which transfers the information regarding the disease name acquired by the disease name acquisition means 112 to another electronic device is further provided, the transfer means 20 of the wearable apparatus 1 is automatic. For example, by transferring information related to a disease name to a mobile terminal of a family member who lives away from the user, information related to the physical disease name of the user (particularly information related to the physical disease name of the elderly user) can be transmitted to the family in a timely manner. It can be transmitted, and the deterioration of physical illness can be effectively suppressed. Such a configuration is particularly effective in dealing with physical illnesses that require urgency.

  The preferred embodiments of the present invention have been described in detail above, but the wearable device, the health management support method, and the health management support program according to the present invention are not limited to the above-described embodiments, but are described in the claims. Various modifications and changes can be made within the scope of the gist of the present invention.

(Modification)
In the above embodiment, the trend action is only the user's gesture, but is not limited to this. For example, the user's voice (including voice, whispering, coughing and nausea), facial expression (a painful or painful facial expression) ) And combinations thereof. In these cases, the wearable device 1 may be appropriately provided with a sound detection means (microphone) for detecting sound information and an image pickup means (camera) for picking up an image (facial expression).

  If the trend action is a combination of any two or more of the user's gesture, voice, and facial expression, the wearable device 1 acquires the disease name more accurately than the trend action that is only the gesture. Can do.

  Moreover, in the said embodiment, although the wearable apparatus 1 has acquired the information regarding especially a physical disease name, it is not limited to this, For example, you may acquire the information regarding a mental disease name.

  In the above embodiment, the disease name acquisition unit 112 acquires the user's disease name based only on the movement trend information. However, the present invention is not limited to this, for example, based on the movement trend information or odor information. The user's disease name may be acquired. In this case, the wearable device 1 needs to include odor detection means for detecting the odor, and not only the operation trend information but also the odor information is used for acquiring the disease name. Therefore, the wearable device 1 more accurately identifies the disease name. Can be acquired.

  Furthermore, in the said embodiment, although the disease name acquisition means 112 acquires a user's disease name based only on movement tendency information, it is not limited to this, For example, by movement tendency information and the pulse sensor 19d The user's disease name may be acquired based on both biological information such as the detected pulse rate. In this case, since not only the movement trend information but also biological information is used for acquiring the disease name, the wearable device 1 can acquire the disease name more accurately.

  In the above-described embodiment, information related to the disease name and a treatment method for the disease name are stored in the storage unit 14 in advance. However, the present invention is not limited to this. For example, based on the disease name, short-range wireless You may acquire automatically from the outside via the communication means 16 or the radio | wireless communication means 17. FIG.

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.
<Claim 1>
An action tendency obtaining means for obtaining action tendency information related to the action tendency of the user;
A wearable device comprising: a disease name acquisition unit configured to acquire a user's disease name based on the movement tendency information.
<Claim 2>
The wearable device according to claim 1, wherein the movement tendency is a user's voice, gesture, or facial expression.
<Claim 3>
The wearable device according to claim 1, further comprising notification means for notifying information related to the disease name acquired by the disease name acquisition means.
<Claim 4>
The wearable device according to claim 3, wherein the notification unit advises a treatment method for the disease name.
<Claim 5>
The wearable device according to any one of claims 1 to 4, further comprising a transfer unit that transfers information related to the disease name acquired by the disease name acquisition unit to another electronic device.
<Claim 6>
It further comprises a motion detection means for detecting user motion information,
The wearable device according to any one of claims 1 to 5, wherein the movement tendency acquisition unit acquires the movement tendency information based on the detected movement information of the user.
<Claim 7>
It further comprises odor detection means for detecting the odor information of the user,
The wearable device according to any one of claims 1 to 6, wherein the disease name acquisition unit acquires a user's disease name based on the movement tendency information or the odor information of the user.
<Claim 8>
A health management support method executed by a wearable device,
Obtaining movement trend information relating to the movement trend of the user;
Acquiring a user's disease name based on the movement tendency information. A health management support method, comprising:
<Claim 9>
A health care support program,
An action acquisition process for acquiring action tendency information related to a user's action tendency;
A health management support program that executes at least a disease name acquisition process for acquiring a disease name of a user based on the movement trend information.

DESCRIPTION OF SYMBOLS 1 Wearable apparatus 11 Central processing means 111 Operation | movement tendency acquisition means 112 Disease name acquisition means 113 Notification control means 114 Transfer control means 12 Input operation means 13 Display means 14 Storage means 15 GPS information acquisition means 16 Near field communication means 17 Wireless communication means 18 Informing means 19 Sensor means 19a Acceleration sensor 19b Gyro sensor 19c Geomagnetic sensor 19d Pulse sensor 19e Illuminance sensor 20 Transfer means

Claims (9)

An action tendency obtaining means for obtaining action tendency information related to the action tendency of the user;
A wearable device comprising: a disease name acquisition unit configured to acquire a user's disease name based on the movement tendency information. The wearable device according to claim 1, wherein the movement tendency is a user's voice, gesture, or facial expression. The wearable device according to claim 1, further comprising notification means for notifying information related to the disease name acquired by the disease name acquisition means. The wearable device according to claim 3, wherein the notification unit advises a treatment method for the disease name. The wearable device according to any one of claims 1 to 4, further comprising a transfer unit that transfers information related to the disease name acquired by the disease name acquisition unit to another electronic device. It further comprises a motion detection means for detecting user motion information,
The wearable device according to any one of claims 1 to 5, wherein the movement tendency acquisition unit acquires the movement tendency information based on the detected movement information of the user. It further comprises odor detection means for detecting the odor information of the user,
The wearable device according to any one of claims 1 to 6, wherein the disease name acquisition unit acquires a user's disease name based on the movement tendency information or the odor information of the user. A health management support method executed by a wearable device,
Obtaining movement trend information relating to the movement trend of the user;
Acquiring a user's disease name based on the movement tendency information. A health management support method, comprising: A health care support program,
An action acquisition process for acquiring action tendency information related to a user's action tendency;
A health management support program that executes at least a disease name acquisition process for acquiring a disease name of a user based on the movement trend information.

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