JP2018092415A - Wearable terminal and method to estimate status of wearer thereof - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a wearable terminal capable of estimating the status of a wearer under various environments the wearer encounters or a method to estimate the status of the wearer.SOLUTION: The wearable terminal comprises: one or more sensors 20 to 28 to measure the status of a wearer; and a processing unit 11 that estimates the environment where the wearer is, determines based on the estimated environment an analysis mode consisting of any one of the one or more sensors 20 to 28 and an analysis method using the one sensor, and estimates the status of the wearer using the determined analysis mode.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a wearable terminal and a method for estimating a wearer's situation using the wearable terminal.

  Conventionally, various wearable terminals have been proposed.

  For example, it has been proposed to measure the number of steps of a wearer using a wearable terminal having a three-axis acceleration sensor and collect and visualize life logs such as the wearer's travel distance and calorie consumption. Wearable terminals are particularly expected to be applied in the field of healthcare for managing the health status of wearers.

  It is also considered to provide a new service based on data obtained by measuring a wearer's condition such as a health condition using a wearable terminal. In particular, there is a service for assisting a wearer who is in a car and driving. For example, Patent Document 1 proposes that a portable device having a physical condition monitoring sensor estimates the physical condition of the wearer and provides an in-vehicle environment corresponding to the estimated physical condition.

JP 2009-214591 A

  However, because the environment in which the wearer is riding and driving is different from the environment of the wearer in daily life, measurements measured by wearable terminals for wearers who are driving in the car Data may not be available in everyday life environments.

  As described above, there is a problem that measurement data obtained by measuring a wearer's condition in a specific environment cannot be effectively used in another environment.

  Therefore, an object of the present specification is to provide a wearable terminal capable of estimating the wearer's situation in various environments experienced by the wearer.

  It is another object of the present specification to provide a method for estimating a wearer's situation in various environments experienced by the wearer.

  According to the wearable terminal disclosed in this specification, at least one sensor for measuring a wearer's condition and an environment in which the wearer is placed are estimated, and based on the estimated environment, the at least A processing unit that determines an analysis mode including any one of the sensors and an analysis method using any one of the sensors, and estimates the wearer's situation using the determined analysis mode. And comprising.

  Further, according to the method disclosed in the present specification, any one of at least one sensor for estimating the environment in which the wearer is placed and measuring the condition of the wearer based on the estimated environment. Determining an analysis mode including any one of the sensors and an analysis method using any one of the sensors, and estimating the wearer's situation using the determined analysis mode.

  According to the wearable terminal disclosed in the present specification described above, it is possible to estimate the wearer's situation using data obtained by measuring the wearer's state in various environments experienced by the wearer.

  In addition, according to the method disclosed in the present specification described above, it is possible to estimate the wearer's situation using data obtained by measuring the wearer's condition in various environments experienced by the wearer.

It is a figure which shows one Embodiment of the wearable terminal disclosed by this specification. It is a flowchart (the 1) explaining operation | movement of a wearable terminal. It is a flowchart (the 2) explaining operation | movement of a wearable terminal. It is a figure which shows the relationship between a wearer's environment and the means to estimate an environment. It is a figure explaining the example from which the wearer's environment changed. It is a figure which shows the look-up table showing the relationship between environment and analysis mode.

  Hereinafter, a preferred embodiment of the wearable terminal disclosed in the present specification will be described with reference to the drawings. However, the technical scope of the present invention is not limited to these embodiments, but extends to the invention described in the claims and equivalents thereof.

  FIG. 1 is a diagram illustrating an embodiment of a wearable terminal disclosed in the present specification.

  The wearable terminal 10 of the present embodiment first estimates the environment where the wearer is placed based on the wearer's operation, communication with an external device, the position of the wearer, and the like, and then the estimated environment. And determining an analysis mode comprising any one of at least one sensor for measuring the wearer's condition and an analysis method using the sensor, and then determining The wearer's situation is estimated using the analysis mode.

  The environment where the wearer is placed may be, for example, an environment while riding a car, an environment during walking, an environment during jogging, an environment staying at home, an environment during sleep, an environment during meals, or a restaurant stay. Environment, staying in a training gym, environment on a train, etc. (see FIG. 4). In this specification, the environment includes the outside environment surrounding the wearer or the state of operation of the wearer. The environment where the wearer is placed is not limited to these examples.

  The state of the wearer in each environment includes the awakening state, the health state and the psychological state of the wearer while riding the vehicle, the exercise state and the gaze state of the wearer during walking, the exercise state of the wearer jogging, and the wearer. Health state while staying at home, sleep state when the wearer is sleeping, drinking state and health state and psychological state when the wearer is eating, drinking state and health state and psychological state when the wearer is staying at the restaurant, The exercise state while the wearer stays in the training gym, the health condition while the wearer is on the train, and the like can be mentioned (see FIG. 6). The state of the wearer is not limited to these examples.

  Wearable terminal 10 may analyze the situation of the wearer in the current environment according to the previous environment when the wearer's environment changes. Examples of such environmental changes include changes in the environment in which the wearer rides in a car after jogging, changes in the environment in which the wearer rides in a car after walking, and changes in the environment in which the wearer rides in a car after eating. Examples include changes and changes in the environment in which the wearer gets on the train after eating (see FIG. 5). Note that changes in the wearer's environment are not limited to these examples.

  The wearable terminal 10 includes a processing unit 11, a storage unit 12, a display unit 13, an input / output unit 14, a communication unit 15, various sensors 20 to 28, an acoustic output unit 29, and a vibration output unit 30. Prepare.

  The wearable terminal 10 includes, for example, a processing unit 11, a storage unit 12, a display unit 13, an input / output unit 14, a communication unit 15, a GPS position sensor 21, an acoustic output unit 29, and a vibration output unit 30. It is divided into a terminal main body including the sensors 20 and 22 to 28 other than the GPS position sensor 21. Each sensor 20, 22-28 and the terminal main body can be communicably connected by wire or wireless. Each sensor 20, 22-28 is worn by the wearer so as to be arranged at a site to be measured. For example, the terminal body may be stored in a pocket of a wearer's clothes. Further, the terminal main body may be formed integrally with some sensors such as the line-of-sight sensor 25 or the electroencephalogram sensor 27.

  The wearable terminal 10 is a sensor that measures the state of each environment of the wearer, and includes an acceleration sensor 20, a GPS position sensor 21, a body temperature sensor 22, a heart rate sensor 23, a blood pressure sensor 24, a line-of-sight sensor 25, A blood glucose level sensor 26, an electroencephalogram sensor 27, and an alcohol sensor 28 are provided. In addition, the sensor with which the wearable terminal 10 is provided is not limited to these. Further, the wearable terminal 10 may not include all the sensors described above.

  The processing unit 11 includes one or a plurality of processors and peripheral circuits. The processing unit 11 performs control and various processing of each hardware component of the wearable terminal 10 according to a predetermined program 12a stored in advance in the storage unit 12, and temporarily stores data generated during the processing. The storage unit 12 is used.

  The storage unit 12 may include a semiconductor memory such as a random access memory (RAM) or a read only memory (ROM), or a nonvolatile memory such as a flash memory. The storage unit 12 stores measurement data 12b of the sensors 20 to 28.

  The display unit 13 is controlled by the processing unit 11 and can display various types of information associated with the operation of the wearable terminal 10. For example, a liquid crystal display can be used as the display unit 13.

  The input / output unit 14 is operated by a wearer and can input an operation. The wearable terminal 10 can use, for example, a touch panel as the input / output unit 14.

  The input / output unit 14 inputs measurement data of some or all of the sensors 20 to 28. The input / output unit 14 inputs and outputs signals between the sound output unit 29 and the vibration output unit 30.

  The sound output unit 29 is controlled by the processing unit 11 and outputs sound such as alarm sound or sound that can be perceived by the wearer. As the sound output unit 29, for example, a speaker or a piezoelectric element can be used.

  The vibration output unit 30 is controlled by the processing unit 11 to generate vibration that can be sensed by the wearer. For example, a motor can be used as the vibration output unit 30.

  The communication unit 15 performs short-range wireless communication. The communication unit 15 receives measurement data of some or all of the sensors 20 to 28. The communication unit 15 communicates with an in-vehicle device 40 of an automobile on which the wearer gets on or an external device such as a high-functional portable terminal 41 carried by the wearer. Moreover, the communication part 15 receives the beacon signal which the beacon transmitter arrange | positioned at facilities, such as a restaurant, transmits. As the short-range communication, for example, a body area network (Body Area Network: BAH), Bluetooth (registered trademark) technology, Zigbee (registered trademark) technology, or the like can be used. The communication unit 15 may include a communication circuit that performs transmission and reception and an antenna.

  Hereinafter, the sensors 20 to 28 included in the wearable terminal 10 will be described. Measurement data measured by the sensors 20 to 28 is transmitted to the processing unit 11 or the storage unit 12 via the input / output unit 14 or the communication unit 15.

  The acceleration sensor 20 measures the acceleration in the triaxial direction that occurs in accordance with the movement of the wearer. The acceleration measured by the acceleration sensor 20 is stored in the storage unit 12 as measurement data 12b. Based on the acceleration measured by the acceleration sensor 20, the processing unit 11 obtains the operation speed and the moving distance of the wearer's wearing part. The operation speed and the movement distance of the wearer's wearing site determined by the processing unit 11 are also stored in the storage unit 12 as measurement data 12b.

  The GPS position sensor 21 receives the GPS radio wave transmitted from the GPS artificial satellite, obtains the position of the wearer, and outputs the position information of the wearer. The position information of the wearer measured by the GPS position sensor 21 is stored in the storage unit 12 as measurement data 12b.

  The body temperature sensor 22 measures the body temperature of the wearer. The body temperature of the wearer measured by the body temperature sensor 22 is stored in the storage unit 12 as measurement data 12b.

  The heart rate sensor 23 measures the heart rate of the wearer. The heart rate of the wearer measured by the heart rate sensor 23 is stored in the storage unit 12 as measurement data 12b.

  The blood pressure sensor 24 measures the blood pressure of the wearer. The blood pressure of the wearer measured by the blood pressure sensor 24 is stored in the storage unit 12 as measurement data 12b.

  For example, the line-of-sight sensor 25 captures an image including the eyes of the wearer and transmits the captured image to the processing unit 11. The processing unit 11 obtains the wearer's line-of-sight direction based on the image data of the image captured by the line-of-sight sensor 25. As a method for detecting the wearer's line-of-sight direction, for example, a method using the positional relationship with the reference point as the head and the moving point as the iris, or the reference point as the position of corneal reflection of light from the light source and the moving point as the pupil Thus, a known technique such as a method using the positional relationship can be used. The wearer's line-of-sight direction obtained by the processing unit 11 is stored in the storage unit 12 as measurement data 12b. The line-of-sight sensor 25 includes, for example, a camera, a sensor control unit that controls photographing by the camera, and a sensor communication unit that transmits image data to the processing unit 11. The line-of-sight sensor 25 is attached to, for example, glasses.

  For example, the blood glucose level sensor 26 measures the infrared absorbance in the blood of the wearer, and transmits the measured infrared absorbance to the processing unit 11. The processing unit 11 obtains the blood glucose level of the wearer based on the infrared absorbance measured by the blood glucose level sensor 26. The blood glucose level of the wearer obtained by the processing unit 11 is stored in the storage unit 12 as measurement data 12b. For example, the blood glucose level sensor 26 is worn on the fingertip of the wearer.

  The electroencephalogram sensor 27, for example, contacts one or a plurality of electrodes with the head of the wearer, measures the self-generated position or evoked potential of each part measured by the electrodes, and measures the measured potential information to the processing unit. 11 to send. The processing unit 11 obtains a wearer's brain wave such as a delta wave, a theta wave, an alpha wave, or a beta wave by performing frequency analysis or temporal frequency analysis on the potential information measured by the brain wave sensor 27 for each part of the head. The brain wave of the wearer obtained by the processing unit 11 is stored in the storage unit 12 as measurement data 12b.

  The alcohol sensor 28 measures, for example, the oxygen concentration contained in the blood of the wearer and transmits it to the processing unit 11. The processing unit 11 compares the oxygen concentration measured by the alcohol sensor 28 with the oxygen concentration in the blood at the time of non-drinking of the wearer measured in advance, and the amount of decrease in oxygen concentration compared to that at the time of non-drinking Based on the above, the alcohol concentration in the blood is determined. The alcohol concentration obtained by the processing unit 11 is stored in the storage unit 12 as measurement data 12b. For example, the alcohol sensor 28 is attached to the fingertip of the wearer.

  FIG. 2 is a flowchart for explaining the operation of the sensors 20 to 28.

  First, in step S201, each of the sensors 20 to 28 measures a predetermined state of the wearer.

  Next, in step S203, the measured measurement data is stored in the storage unit 12.

  The operations from step S201 to step S203 are repeated continuously at a predetermined cycle while the wearer wears the wearable terminal 10. Note that the period may be different for each sensor.

  The processing unit 11 described above includes an environment estimation unit 11a, an analysis mode determination unit 11b, a situation estimation unit 11c, a service determination unit 11d, a similarity determination unit 11e, and a measurement analysis unit 11f.

  Each of these units included in the processing unit 11 is, for example, a functional module realized by a computer program that operates on a processor included in the processing unit 11. Here, the measurement analysis unit 11f analyzes and processes the measurement data from each sensor. The operation of each other part of the processing unit 11 will be described below.

  Next, the operation of the wearable terminal 10 described above will be described below with reference to the flowchart shown in FIG.

  First, in step S301, the environment estimation unit 11a of the processing unit 11 estimates the wearer's environment.

  FIG. 4 is a diagram showing the relationship between the wearer's environment and means for estimating the environment.

  The environment estimation unit 11a estimates the environment in which the wearer is in the vehicle using communication with the in-vehicle device 40, the acceleration sensor 20, or the GPS position sensor 21.

  The environment estimation unit 11a estimates an environment in which the wearer is in the vehicle by connecting communication with the in-vehicle device 40 mounted on the vehicle.

  Further, the environment estimation unit 11a may estimate that the wearer is in an environment in which the wearer is in the vehicle based on the operation of the wearer's wearing site measured using the acceleration sensor 20. The wearer's operation includes, for example, the wearer's handle operation, gear change operation, winker or wiper operation, door opening / closing operation, start key operation, seat belt mounting operation, and the like.

  For example, the environment estimation unit 11a acquires the wearer's handle operation as a trace pattern of the movement of the wearer's arm based on the acceleration measured by the acceleration sensor 20 attached to the wearer's arm. The environment estimation unit 11a performs pattern matching between the acquired trajectory pattern and the basic trajectory pattern of the arm motion in the typical handle operation of the wearer obtained in advance, and obtains a pattern matching degree. As a measure of the degree of coincidence, a normalized cross-correlation method, a cross-correlation coefficient method, a square sum of differences method, or the like can be used. The environment estimation unit 11a determines that the wearer is operating the steering wheel when the pattern matching degree exceeds a predetermined threshold value, and estimates that the wearer is in an environment in which the vehicle is riding. The predetermined threshold value is determined on the basis of measurement data obtained by measuring a motion obtained by a wearer performing a steering operation, obtained in advance. Based on the above-described operation of the wearer's steering wheel, the explanation for estimating that the wearer is in an environment in which the vehicle is riding is based on another operation of the wearer. Appropriately applied to estimation. The above description of the degree of matching of pattern matching is also applied as appropriate to the determination of the degree of matching of other pattern matching in this specification.

  The environment estimation unit 11a may estimate the environment in which the wearer is in the car, particularly when the wearer who is in the walking environment changes such that the above-described operation is performed.

  Furthermore, the environment estimation unit 11a uses the GPS position sensor 21 to store a communication release position in which communication with the in-vehicle device 40 has been canceled in the past, and when the wearer moves to this communication release position, the wearer May be estimated to be in an environment in which the vehicle is being boarded.

  The environment estimation unit 11a may estimate the environment in which the wearer is in the vehicle using one or a plurality of means described above.

  The environment estimation unit 11a uses the acceleration sensor 20 to estimate the environment in which the wearer is walking. The environment estimation unit 11a estimates that the wearer is in a walking environment based on the movement or moving speed of the wearing site of the wearer measured using the acceleration sensor 20. As an operation | movement of a wearer, the operation | movement of an arm or a leg is mentioned, for example.

  For example, the environment estimation unit 11a acquires the movement of the wearer's arm or leg as a trace pattern of the wearer's arm or leg. The environment estimation unit 11a performs pattern matching between the acquired trajectory pattern and a basic trajectory pattern of a typical walking arm or leg motion of the wearer, obtained in advance, and obtains a pattern matching degree. . The environment estimation unit 11a determines that the wearer is walking when the pattern matching degree exceeds a predetermined threshold, and estimates that the wearer is in the walking environment. The predetermined threshold value is determined based on measurement data obtained by measuring a motion of the wearer walking in advance obtained.

  The environment estimation unit 11a uses the acceleration sensor 20 to estimate the environment in which the wearer is jogging. The environment estimation unit 11a estimates that the wearer is in an environment during jogging based on the movement or moving speed of the wearing site of the wearer measured using the acceleration sensor 20. As an operation | movement of a wearer, the operation | movement of an arm or a leg is mentioned, for example.

  For example, the environment estimation unit 11a acquires the movement of the wearer's arm or leg as a trace pattern of the wearer's arm or leg. The environment estimation unit 11a performs pattern matching between the acquired trajectory pattern and the basic trajectory pattern of the typical motion of the arm or leg of the wearer, which is obtained in advance, and obtains the degree of pattern matching. . The environment estimation unit 11a determines that the wearer is jogging when the pattern matching degree exceeds a predetermined threshold, and estimates that the wearer is in the jogging environment. The predetermined threshold value is determined based on measurement data obtained by measuring a motion obtained by the wearer jogging obtained in advance.

  The environment estimation unit 11 a uses the GPS position sensor 21 to estimate the environment in which the wearer is staying at home. The environment estimation unit 11a matches the position of the wearer's home measured using the GPS position sensor 21 with the position of the wearer's home registered in advance, and remains stationary for a predetermined time. If so, it is estimated that the wearer is in an environment staying at home.

  The environment estimation unit 11 a estimates the environment in which the wearer is sleeping using the acceleration sensor 20 or the electroencephalogram sensor 27.

  The environment estimation unit 11a estimates that the wearer is in a sleeping environment based on the operation of the wearer's wearing site measured using the acceleration sensor 20. As the operation of the wearer, at night (for example, a time zone after midnight), a state in which no motion is detected in the wearer's body is continued for a predetermined time. For example, the environment estimation unit 11a determines that no movement is detected in the body of the wearer when the amount of movement of the wearer's wearing site does not exceed a predetermined threshold. The predetermined threshold is determined based on measurement data obtained in advance in a sleeping environment of the wearer.

  The environment estimation unit 11a may estimate that the wearer is in the sleeping environment based on the magnitude of the amplitude of the wearer's delta wave measured using the electroencephalogram sensor 27. For example, the environment estimation unit 11a estimates that the wearer is in a sleeping environment when the amplitude of the delta wave of the wearer exceeds a predetermined threshold. The predetermined threshold is determined based on measurement data obtained in advance in a sleeping environment of the wearer.

  The environment estimation unit 11 a estimates the environment in which the wearer is eating using the blood glucose level sensor 26. Based on the blood sugar level in the blood of the wearer measured using the blood sugar level sensor 26, the environment estimation unit 11a estimates that the wearer is in the environment during the meal. For example, the environment estimation unit 11a estimates that the wearer is in the environment during the meal when the positive change amount of the blood glucose level of the wearer (the change amount by which the blood glucose level increases) exceeds a predetermined threshold. . The predetermined threshold value is determined based on measurement data obtained in advance by the wearer in an environment where the wearer is eating.

  The environment estimation unit 11a estimates the environment in which the wearer is staying at the restaurant using communication with the GPS position sensor 21, the high function portable terminal 41, or communication with the beacon transmitter 42.

  When the position of the wearer measured using the GPS position sensor 21 matches the position of the restaurant and remains stationary for a predetermined time, the environment estimation unit 11a Presume that you are in an environment where you are staying at a restaurant. The environment estimation unit 11a may acquire the position of a facility such as a restaurant through communication with the high function portable terminal 41, for example. The predetermined time is determined based on measurement data obtained by measuring the time that the wearer is eating in advance.

  Furthermore, the environment estimation unit 11a may estimate that the wearer is in an environment where the wearer is staying in a restaurant based on a beacon signal from the beacon transmitter 42 arranged in the lens run. The beacon signal has identification information for identifying the transmission source of the beacon signal, and the environment estimation unit 11a can recognize that the transmission source of the beacon signal is a facility such as a restaurant based on the identification information. .

  The environment estimation unit 11a estimates the environment in which the wearer is staying at the training gym using communication with the GPS position sensor 21, the high function portable terminal 41, or communication with the beacon transmitter 42.

  When the position of the wearer measured using the GPS position sensor 21 matches the position of the training gym and remains stationary for a predetermined time, the environment estimation unit 11a Presume that they are in a training gym environment. The environment estimation unit 11a may acquire the position of a facility such as a training gym by communicating with the high function portable terminal 41, for example. The predetermined time is determined based on measurement data obtained by measuring the time during which the wearer is training in advance.

  Further, the environment estimation unit 11a may estimate that the wearer is in an environment where the wearer is staying in the training gym based on a beacon signal from the beacon transmitter 42 arranged in the training machine of the training gym. The beacon signal has identification information for identifying the transmission source of the signal, and the environment estimation unit 11a can recognize that the transmission source of the beacon signal is a training machine of a training gym based on the identification information. .

  The environment estimation unit 11 a estimates the environment in which the wearer is on the train using the acceleration sensor 20 and the GPS position sensor 21.

  The environment estimation unit 11a measures the movement speed of the wearing site of the wearer using the acceleration sensor 20, and measures the position of the wearer using the GPS position sensor 21. When the wearer's movement speed is faster than the jogging movement speed and the position of the wearer matches the route route of the train, the environment estimation unit 11a determines that the wearer is in an environment where the wearer is on the train. presume.

  The operation of the environment estimation unit 11a described above is an example, and the environment estimation unit 11a estimates the wearer's environment using communication with other sensors or other external devices or using other methods. Also good. In addition, when there are a plurality of means for estimating one environment of the wearer, the environment estimation unit 11a may estimate the wearer's environment using one means, or a plurality of means may be used. The wearer's environment may be estimated based on the estimated result of the wearer's environment.

  Next, in step S303, the analysis mode determination unit 11b determines an analysis mode including a sensor for measuring the wearer's condition and an analysis method based on the estimated environment.

  For example, the analysis mode determination unit 11b includes a sensor for measuring a wearer's condition and an analysis method with reference to a lookup table 600 (see FIG. 6) that represents the relationship between the environment and the analysis mode. Determine the analysis mode. The lookup table is stored in the storage unit 12. The lookup table 600 has an environment column 601, an analysis mode column 602, a wearer status column 603, and a sensor column 604. The contents of one analysis mode are constituted by a sensor for measuring the state of the wearer and an analysis method using the sensor with respect to the state of the wearer in each environment.

  For example, the analysis mode determination unit 11b selects one or a plurality of analysis modes among the analysis modes for estimating the state of arousal state, health state, and psychological state with respect to a wearer in an environment where the vehicle is in a car. You may choose.

  Further, as shown in FIG. 5, the analysis mode determination unit 11 b is in a state where the environment of the wearer is in an environment in which the wearer is riding because the environment changes from jogging to riding in the vehicle. An analysis mode for estimating the state of the state may be added (see FIG. 6). Similarly, an analysis mode for estimating the state of health may be added even when the environment changes from walking to riding in a car and the vehicle is in an environment where the car is riding. In addition, when the environment changes from eating to riding in a car and in an environment in which the car is riding, an analysis mode for estimating the state of drinking may be added. Furthermore, an analysis mode for estimating the state of drinking may also be added when the environment changes from eating to riding on a train and the vehicle is in an environment in which it is riding.

  Next, in step S305, the situation estimation unit 11c estimates the wearer's situation using the determined analysis mode.

  First, the analysis mode for estimating the state of the awakening state of the wearer in the environment while riding in the automobile will be described below.

  The situation estimation unit 11c detects whether or not there is a sudden blurring of the wearer's handle operation acquired based on the movement (movement amount) of the wearer's wearing site using the acceleration sensor 20, or continuous fluctuation of the handle operation. Based on the presence / absence, the state of the awakening state of the wearer in the environment in which the vehicle is being taken is estimated.

  For example, the situation estimation unit 11c obtains the movement amount of the movement of the wearer's arm based on the acceleration measured by the acceleration sensor 20 mounted on the wearer's arm. When the displacement amount per unit time of the movement amount of the movement of the wearer's arm exceeds a predetermined threshold, the situation estimation unit 11c determines that a sudden blurring of the steering operation has occurred. In addition, the situation estimation unit 11c acquires the movement of the wearer's arm as a trace pattern of the wearer's arm based on the acceleration measured by the acceleration sensor 20 attached to the wearer's arm. The situation estimation unit 11c performs pattern matching between the acquired trajectory pattern and the basic trajectory pattern of the arm movement at the time of the drowsy driving of the driver with a low arousal level registered in advance, and the pattern matching degree is obtained. Ask. The environment estimation unit 11a determines that there is a continuous wobbling of the steering wheel operation when the pattern matching degree exceeds a predetermined threshold. The predetermined threshold is determined based on measurement data obtained by measuring the handle operation of the wearer obtained in advance. The state of the wearer's arousal state is estimated to be high or low. In a situation where arousal is low, there is a risk of drowsy driving.

  Further, the situation estimation unit 11 c uses the wearer's handle operation amount acquired based on the movement (movement amount) of the wearer's wearing part using the acceleration sensor 20 and the wearer measured using the GPS position sensor 21. Based on the degree of coincidence between the moving route of the vehicle and the route on the map by comparing the position information on the map and the route information on the map traveled by the vehicle acquired by communication with the in-vehicle device 40 having the navigation function, The state of the wearer's arousal state may be estimated. The situation estimation unit 11c performs pattern matching between the moving route of the car and the route on the map, and when the pattern matching degree exceeds a predetermined threshold, the situation of the wearer's arousal state is Is estimated to be high. Otherwise, the situation estimation unit 11c estimates that the awake state of the wearer is low. The predetermined threshold value is determined based on measurement data obtained in advance during driving of the wearer's automobile.

  In addition, the situation estimation unit 11c compares the wearer's body temperature measured using the body temperature sensor 22 and the wearer's heart rate measured using the heart rate sensor 23 with a predetermined threshold value. You may estimate the state of awakening. The predetermined threshold value is determined based on each measurement data measured in an environment in which the wearer is riding in the automobile obtained in advance.

  Further, the situation estimation unit 11c may estimate the situation of the wearer's arousal state based on the change frequency per unit time of the wearer's gaze direction measured using the gaze sensor 25. When the change frequency per unit time of the wearer's line-of-sight direction is lower than a predetermined threshold, the situation estimation unit 11c estimates that the situation of the wearer's arousal state is low arousal. Otherwise, the situation estimation unit 11c estimates that the situation of the wearer's arousal state is high arousal. The predetermined threshold value is determined based on measurement data obtained in advance in an environment in which the wearer is in a car.

  Next, an analysis mode for estimating the state of health of the wearer in the environment while riding in the automobile will be described below.

  The situation estimation unit 11c may measure the wearer's blood pressure measured using the wearer's body temperature measured using the body temperature sensor 22 or the heart rate sensor 23 measured using the heart rate sensor 23 or the blood pressure sensor 24. While riding in the car by comparing the blood glucose level of the wearer measured using the blood glucose level sensor 26 with a predetermined threshold or by comparing the amount of change of each measured value with a predetermined threshold of the amount of change Estimate the health status of the wearer in the environment. The predetermined threshold value is determined based on each measurement data measured in an environment in which the wearer is riding in the automobile obtained in advance. It is estimated that the wearer's health status is good or not good.

  Here, when the environment of the wearer is in an environment where the environment changes from jogging to riding in the car, the wearer's body temperature or heart rate or blood pressure or blood glucose level is Since it is affected by jogging, it is preferable to use a value reflecting the influence of jogging as the predetermined threshold.

  Next, an analysis mode for estimating the state of the psychological state of the wearer in the environment in which the vehicle is being boarded will be described below.

  Based on the wearer's brain wave measured using the brain wave sensor 27, the situation estimation unit 11c estimates the situation of the psychological state of the wearer in the environment while riding in the automobile. When the amplitude of the alpha wave included in the wearer's brain wave is greater than a predetermined threshold, the wearer is estimated to have a pleasant emotion, and when the amplitude of the beta wave included in the brain wave is greater than the predetermined threshold The wearer is presumed to have an unpleasant feeling. The predetermined threshold value is determined based on brain wave measurement data obtained in advance in an environment in which the wearer is in a car.

  Furthermore, when the wearer is in an environment in which the wearer is in the environment due to a change in environment from eating to riding in the car, the situation estimation unit 11c uses the alcohol sensor 28 to measure the wearer. An analysis mode for estimating the wearer's drinking state may be added and executed by comparing the alcohol concentration in the blood with a predetermined threshold. It is estimated that the wearer's drinking state is not drunk or drunk.

  Next, an analysis mode for estimating the motion state of the wearer in the walking environment will be described below.

  The situation estimation unit 11c obtains the wearer's consumption calorie from the number of steps or movement speed by walking acquired based on the movement (movement amount or movement speed) of the wearer's wearing part using the acceleration sensor 20, and calculates the wearer's consumption calorie. Estimate the state of motion state.

  The situation estimation unit 11c also measures the wearer's body temperature measured using the body temperature sensor 22 or the wearer's heart rate measured using the heart rate sensor 23 or the blood pressure sensor 24. The state of the wearer's exercise state may be estimated by comparing the blood pressure with a predetermined threshold or by comparing the amount of change of each measured value with a predetermined threshold of the amount of change. The predetermined threshold is determined based on each measurement data obtained in advance in an environment where the wearer is walking. It is estimated that the wearer's state of motion is good or not good.

  Next, an analysis mode for estimating the state of the gaze state of the wearer in the walking environment will be described below.

  The situation estimation unit 11c is based on the wearer's line-of-sight direction measured using the line-of-sight sensor 25 and the position of the wearer measured using the GPS position sensor 21. And the state of the gaze state of the wearer is estimated. The situation estimation unit 11c may acquire information such as the facility being watched by the wearer through communication with the high function mobile terminal 41, for example.

  Next, an analysis mode for estimating the state of the exercise state of the wearer in the jogging environment will be described below.

  The situation estimation unit 11c obtains the calorie consumption of the wearer from the number of steps or the movement speed by jogging acquired based on the movement (movement amount or movement speed) of the wearer's wearing part using the acceleration sensor 20, and Estimate the state of motion state.

  The situation estimation unit 11c also measures the wearer's body temperature measured using the body temperature sensor 22 or the wearer's heart rate measured using the heart rate sensor 23 or the blood pressure sensor 24. The state of the wearer's exercise state may be estimated by comparing the blood pressure with a predetermined threshold or by comparing the amount of change of each measured value with a predetermined threshold of the amount of change. The predetermined threshold value is determined based on each measurement data obtained in advance in an environment where the wearer is jogging. It is estimated that the wearer's state of motion is good or not good.

  Next, an analysis mode for estimating the state of health of the wearer in the environment staying at home will be described below.

  The situation estimation unit 11c may measure the wearer's blood pressure measured using the wearer's body temperature measured using the body temperature sensor 22 or the heart rate sensor 23 measured using the heart rate sensor 23 or the blood pressure sensor 24. The wearer's health is measured by comparing the blood glucose level of the wearer measured using the blood glucose level sensor 26 with a predetermined threshold value, or by comparing the change amount of each measurement value with the predetermined threshold value of the change amount. Estimate the state situation. The predetermined threshold is determined based on each measurement data obtained in advance in an environment where the wearer is staying at home. It is estimated that the wearer's health status is good or not good.

  Next, the analysis mode for estimating the sleep state of the wearer in the sleeping environment will be described below.

  The situation estimation unit 11c acquires the wearer's sleep depth (REM sleep / non-REM sleep) by comparing the movement (movement amount) of the wearer's wearing site using the acceleration sensor 20 with a predetermined threshold. Then, the state of the wearer's sleep state is estimated. The situation estimation unit 11c determines that the wearer is in non-REM sleep if the amount of movement of the wearer exceeds a predetermined threshold, and otherwise determines that the wearer is in REM sleep. The predetermined threshold is determined based on measurement data obtained in advance in a sleeping environment of the wearer. When the ratio between the time in REM sleep and the time in non-REM sleep exceeds a predetermined threshold, the situation estimation unit 11c estimates that the wearer's sleep state is good, and otherwise It is estimated that it is not good. The predetermined threshold is determined based on measurement data obtained in advance in a sleeping environment of the wearer.

  The situation estimation unit 11c may estimate the wearer's sleep state based on the wearer's brain wave measured using the brain wave sensor 27. The situation estimation unit 11c can estimate the situation of the wearer's sleep state by comparing the amplitude of the delta wave with a predetermined threshold. The situation estimation unit 11c estimates that the wearer's sleep condition is good when the amplitude of the delta wave exceeds a predetermined threshold, and otherwise estimates that it is not good. The predetermined threshold value is determined based on measurement data obtained in a sleeping environment of the wearer obtained in advance.

  Next, an analysis mode for estimating the drinking state of the wearer in the eating environment will be described below.

  The situation estimation unit 11c estimates the situation of the drinking state of the wearer by comparing the alcohol concentration in the blood of the wearer measured using the alcohol sensor 28 with a predetermined threshold. It is estimated that the wearer's drinking state is not drunk or drunk.

  Next, an analysis mode for estimating the state of health of the wearer in the environment during eating will be described below.

  The situation estimation unit 11c compares the wearer's blood pressure measured using the blood pressure sensor 24 or the blood glucose level of the wearer measured using the blood glucose level sensor 26 with a predetermined threshold, or each measured value By comparing the amount of change with a predetermined threshold value of the amount of change, the health condition of the wearer is estimated. For example, the situation estimation unit 11c may estimate the health condition of the wearer by comparing the amount of change in blood pressure or blood glucose level before and after a meal with a predetermined threshold. The predetermined threshold value is determined based on each measurement data obtained in the environment where the wearer obtained in advance is eating. It is estimated that the wearer's health status is good or not good.

  Next, an analysis mode for estimating the state of the psychological state of the wearer in the eating environment will be described below.

  The situation estimation unit 11 c estimates the condition of the wearer's health based on the wearer's brain wave measured using the brain wave sensor 27. When the amplitude of the alpha wave included in the wearer's brain wave is greater than a predetermined threshold, the wearer is estimated to have a pleasant emotion, and when the amplitude of the beta wave included in the brain wave is greater than the predetermined threshold The wearer is presumed to have an unpleasant feeling. The predetermined threshold value is determined on the basis of measurement data of an electroencephalogram measured in an environment where the wearer obtained in advance is eating. In this way, the degree of satisfaction of the wearer with respect to the meal can be obtained by measurement using the electroencephalogram sensor 27.

  Next, an analysis mode for estimating the drinking state of the wearer in the environment staying at the restaurant will be described below.

  The situation estimation unit 11c estimates the situation of the drinking state of the wearer by comparing the alcohol concentration in the blood of the wearer measured using the alcohol sensor 28 with a predetermined threshold. It is estimated that the wearer's drinking state is not drunk or drunk.

  Next, an analysis mode for estimating the health condition of the wearer in the environment staying at the restaurant will be described below.

  The situation estimation unit 11c compares the wearer's blood pressure measured using the blood pressure sensor 24 or the blood glucose level of the wearer measured using the blood glucose level sensor 26 with a predetermined threshold, or each measured value By comparing the amount of change with a predetermined threshold value of the amount of change, the health condition of the wearer is estimated. For example, the situation estimation unit 11c may estimate the health condition of the wearer by comparing the amount of change in blood pressure or blood glucose level before and after a meal with a predetermined threshold. The predetermined threshold value is determined based on each measurement data obtained in advance by the wearer in the environment during the meal. It is estimated that the wearer's health status is good or not good.

  Next, an analysis mode for estimating the state of the psychological state of the wearer in the environment staying at the restaurant will be described below.

  The situation estimation unit 11 c estimates the condition of the wearer's health based on the wearer's brain wave measured using the brain wave sensor 27. When the amplitude of the alpha wave included in the wearer's brain wave is greater than a predetermined threshold, the wearer is estimated to have a pleasant emotion, and when the amplitude of the beta wave included in the brain wave is greater than the predetermined threshold The wearer is presumed to have an unpleasant feeling. The predetermined threshold value is determined on the basis of measurement data of an electroencephalogram measured in an environment where the wearer obtained in advance is eating. Thereby, for example, the total wearer satisfaction including the appearance, interior, cooking, customer service and the like of the restaurant can be obtained by measurement using the electroencephalogram sensor 27.

  Next, an analysis mode for estimating the state of the exercise state of the wearer in the environment staying at the training gym will be described below.

  The situation estimation unit 11c obtains the calorie consumption of the wearer by training based on the movement (movement amount or movement speed) of the wearer's wearing part using the acceleration sensor 20, and estimates the wearer's movement state. To do.

  In addition, the situation estimation unit 11c uses the wearer's movement locus pattern acquired based on the movement (movement amount or movement speed) of the wearer's wearing region using the acceleration sensor 20, and an ideally registered ideal pattern. The state of the wearer's motion state may be estimated by performing pattern matching with a motion trajectory pattern in training. The situation estimation unit 11c performs pattern matching between the movement trajectory pattern of the wearer and the movement trajectory pattern in an ideal training, and the pattern matching degree is set to a situation where the wearer's movement state is estimated. .

  Further, the situation estimation unit 11 c uses the wearer's body temperature measured using the body temperature sensor 22 or the wearer's heart rate measured using the heart rate sensor 23 or the wearer's heart rate measured using the blood pressure sensor 24. The state of the wearer's exercise state may be estimated by comparing the blood pressure with a predetermined threshold or by comparing the amount of change of each measured value with a predetermined threshold of the amount of change. The predetermined threshold value is determined based on each measurement data measured in an environment in which the wearer is trained in advance. It is estimated that the wearer's state of motion is good or not good.

  Next, an analysis mode for estimating the state of health of the wearer in the environment on the train will be described below.

  The situation estimation unit 11 c measures the wearer's body temperature measured using the body temperature sensor 22 or the wearer's heart rate measured using the heart rate sensor 23 or the blood pressure of the wearer measured using the blood pressure sensor 24. The condition of the wearer's health condition is estimated by comparing with a predetermined threshold or by comparing the amount of change of each measured value with a predetermined threshold of the amount of change. The predetermined threshold value is determined based on each measurement data obtained in advance in an environment where the wearer gets on the train. It is estimated that the wearer's health status is good or not good.

  In addition, when the environment changes from eating to getting on the train and the environment is on the train, the situation estimation unit 11c uses the alcohol sensor 28 in the blood of the wearer. You may add and perform the analysis mode which estimates the condition of a wearer's drinking state by comparing alcohol concentration with a predetermined threshold value. It is estimated that the wearer's drinking state is not drunk or drunk.

  Here, the situation estimation unit 11c may estimate the wearer's situation based on the same measurement data regarding the commonly used sensors in each analysis mode applied simultaneously. That is, the measurement data measured while the wearer is in the car and the measurement data measured during daily life other than when the wearer is in the vehicle are not distinguished, and the analysis method of the determined analysis mode is used. Used based on. Therefore, the wearer's situation can be estimated by effectively using measurement data including measurement data measured while the wearer is in the car and measurement data measured in daily life.

  Next, in step S307, the service determination unit 11d determines a service to be provided to the wearer based on the estimated situation of the wearer, and provides the determined service to the wearer.

  First, the service when the state of the awakening state of the wearer in the environment in which the vehicle is in the vehicle is estimated will be described below.

  When the situation estimation unit 11c estimates that the wearer's awakening is low, the service determination unit 11d outputs a voice or text indicating that the vehicle is stopped and a break is taken via the in-vehicle device 40. And notify the wearer. In addition, the service determination unit 11d may notify the wearer by outputting voice or text that the vehicle is stopped and taking a break using the sound output unit 29 or the display unit 13. Furthermore, the service determination unit 11d may use the vibration output unit 30 to give vibration to the wearer to urge the wearer to wake up.

  Next, a service in the case where the state of health of the wearer in the environment in which the vehicle is riding is estimated will be described below.

  When the situation estimator 11c estimates that the wearer's health condition is not good, the service determination unit 11d uses the in-vehicle device 40 to stop the car and take a break. Is output to the wearer. In addition, the service determination unit 11d may notify the wearer by outputting voice or text that the vehicle is stopped and taking a break using the sound output unit 29 or the display unit 13.

  In addition, the service determining unit 11d determines that the wearing environment measured by the situation estimating unit 11c when the environment of the wearer changes from jogging to riding in the vehicle and the vehicle is in the riding environment. Depending on the body temperature or heart rate of the person, the air conditioning temperature or the opening of the window may be output via the in-vehicle device 40 to notify the wearer by voice or text. This is because, when the wearer's body temperature is high or the heart rate is high, it is possible to assist in reducing the wearer's body temperature or heart rate by lowering the air conditioning temperature or opening a window. Similarly, the service determination unit 11d may notify the wearer that the air conditioning temperature is adjusted or the window is opened using the sound output unit 29.

  On the other hand, when the environment changes from jogging to riding in a car, the environment changes while riding in the car, and when the environment changes from walking to riding in the car. In some cases, even if the wearer's body temperature or heart rate is the same, the wearer's health condition can be estimated to be poor according to the wearer's body temperature or heart rate acquired by the situation estimation unit 11c. For example, even if the body temperature is 37.5 ° C., it is estimated that the body temperature has increased due to exercise after jogging. However, a high body temperature without violent exercise such as after walking suggests that the wearer may be sick. In this case, the service determination unit 11d may immediately stop the vehicle and notify the wearer that the doctor receives medical examination using the in-vehicle device 40, the sound output unit 29, or the display unit 13.

  Next, a service in the case where the state of the psychological state of the wearer in the environment in which the vehicle is being boarded is estimated will be described below.

  When the situation estimation unit 11c estimates that the wearer's psychological state has an unpleasant feeling, the service determination unit 11d is configured to provide route information with less traffic congestion or a route with excellent scenery via the in-vehicle device 40. Information may be proposed to the wearer. This is because it is estimated that the wearer has an unpleasant feeling that the wearer is involved in a traffic jam or is not feeling well.

  Next, a description will be given of a service when the drinking state of a wearer in an environment in which an automobile is boarded is estimated.

  When the situation estimation unit 11c estimates that the wearer's drinking state is drunk, the service determination unit 11d outputs a voice or text to immediately stop the automobile via the in-vehicle device 40 And notify the wearer. In addition, the service determining unit 11d may notify the wearer by outputting sound or characters that the vehicle is to be stopped immediately using the sound output unit 29 or the display unit 13. Furthermore, the service determination unit 11d uses the sound output unit 29 or the display unit 13 to output a voice or a character to request a substitute for driving a car or use public transportation such as a train. May be notified to the wearer.

  Next, the service when the state of the exercise state of the wearer in the walking environment is estimated will be described below.

  The service determination unit 11d notifies the wearer of the consumed calories acquired by the situation estimation unit 11c using the display unit 13 or the sound output unit 29. Thereby, the wearer can know the calorie consumption by walking.

  In addition, when the situation estimation unit 11c estimates that the wearer's exercise state is not good, the service determination unit 11d uses the sound output unit 29 or the display unit 13 to stop walking and take a break. This is notified to the wearer by outputting voice or text.

  Next, the service when the gaze state of the wearer in the walking environment is estimated will be described below.

  The service deciding unit 11d notifies the wearer of the information such as the facility being watched by the wearer acquired by the situation estimating unit 11c by outputting sound or text using the sound output unit 29 or the display unit 13. To do. Thereby, the wearer can obtain information on the facility or the like he / she is watching.

  Next, the service when the state of the exercise state of the wearer in the jogging environment is estimated will be described below.

  The service determination unit 11d notifies the wearer of the consumed calories acquired by the situation estimation unit 11c using the display unit 13 or the sound output unit 29. Thereby, the wearer can know calorie consumption due to jogging.

  In addition, the service determination unit 11d uses the sound output unit 29 or the display unit 13 to stop jogging and take a break when the situation estimation unit 11c estimates that the wearer's exercise state is not good. This is notified to the wearer by outputting voice or text.

  Next, a service when the health condition of the wearer in the environment staying at home is estimated will be described below.

  When the situation estimation unit 11c estimates that the wearer's health condition is not good, the service determination unit 11d uses the acoustic output unit 29 or the display unit 13 to be rested and perform medical examination by a doctor. The wearer is notified by outputting voice or text.

  Next, the service when the state of the sleep state of the wearer in the sleeping environment is estimated will be described below.

  The service deciding unit 11d uses the acoustic output unit 29 or the display unit 13 to output a voice or text indicating that the sleep state of the wearer is good or not good by the situation estimation unit 11c. Notify wearer. Thereby, the wearer can be a reference to know the degree of recovery from fatigue due to his / her sleep.

  In addition, the service determination unit 11d uses the sound output unit 29 or the display unit 13 to wake up the wearer at a timing when the wearer's sleep depth acquired by the situation estimation unit 11c is shallow (REM sleep). Audio or vibration may be output. As a result, the wearer is supported to wake up quickly and start a day's activities.

  Next, the service when the drinking state of the wearer in the eating environment is estimated will be described below.

  The service determining unit 11d uses the acoustic output unit 29 or the display unit 13 so as to refrain from taking alcohol when the situation estimating unit 11c estimates that the wearer's drinking state is drunk. Outputs voice or text and notifies the wearer. Thereby, the wearer can know his or her degree of alcohol.

  On the other hand, the service determining unit 11d uses the acoustic output unit 29 or the display unit 13 so as to prompt the intake of alcohol when the situation estimating unit 11c estimates that the wearing state of the wearer is not an alcoholic band. The voice or text may be output and notified to the wearer. Thereby, the wearer can enjoy eating and drinking while confirming the degree of his own alcohol.

  Next, the service when the health condition of the wearer in the environment during the meal is estimated will be described below.

  The service determination unit 11d uses the sound output unit 29 or the display unit 13 to output the voice or text change amount before and after the meal acquired by the situation estimation unit 11c, and output the voice or text. May be notified. Thus, the wearer can improve the eating habits by associating the content of the meal with the amount of change in blood pressure or the amount of change in blood glucose level.

  In addition, when the situation estimation unit 11c estimates that the wearer's health condition is not good, the service determination unit 11d uses the sound output unit 29 or the display unit 13 to reduce the amount of meals or The wearer may be notified that the meal is interrupted by outputting voice or text.

  Next, the service when the state of the psychological state of the wearer in the environment during eating is estimated will be described below.

  When the situation estimation unit 11c estimates that the wearer's psychological state has a pleasant emotion, the service determining unit 11d indicates that the wearer has a pleasant emotion, and the sound output unit 29 Alternatively, the display unit 13 may be used to output voice or text and notify the wearer. Thus, the wearer can further enjoy eating by recognizing his / her emotion objectively.

  Next, the service in the case where the drinking state of the wearer in the environment staying at the restaurant is estimated will be described below.

  The service determining unit 11d uses the acoustic output unit 29 or the display unit 13 so as to refrain from taking alcohol when the situation estimating unit 11c estimates that the wearer's drinking state is drunk. Outputs voice or text and notifies the wearer. Thereby, the wearer can know his or her degree of alcohol.

  On the other hand, the service determining unit 11d uses the acoustic output unit 29 or the display unit 13 so as to prompt the intake of alcohol when the situation estimating unit 11c estimates that the wearing state of the wearer is not an alcoholic band. The voice or text may be output and notified to the wearer. Thereby, the wearer can enjoy eating and drinking while confirming the degree of his own alcohol.

  Next, the service when the health condition of the wearer in the environment staying at the restaurant is estimated will be described below.

  The service determination unit 11d uses the sound output unit 29 or the display unit 13 to output the voice or text change amount before and after the meal acquired by the situation estimation unit 11c, and output the voice or text. May be notified. Thus, the wearer can improve the eating habits by associating the content of the meal with the amount of change in blood pressure or the amount of change in blood glucose level.

  In addition, when the situation estimation unit 11c estimates that the wearer's health condition is not good, the service determination unit 11d uses the sound output unit 29 or the display unit 13 to reduce the amount of meals or The wearer may be notified that the meal is interrupted by outputting voice or text.

  Next, the service when the state of the psychological state of the wearer in the environment staying at the restaurant is estimated will be described below.

  When the situation estimation unit 11c estimates that the wearer's psychological state has a pleasant feeling, the service determination unit 11d, based on the amplitude of the alpha wave included in the wearer's brain wave, The staying restaurants may be ranked and stored in the storage unit 12. Thereby, the wearer can obtain a list of restaurants where food and drink can be enjoyed.

  Next, a service when the state of the exercise state of the wearer in the environment staying at the training gym is estimated will be described below.

  The service determination unit 11d notifies the wearer of the consumed calories acquired by the situation estimation unit 11c using the display unit 13 or the sound output unit 29. Thereby, the wearer can know the calorie consumption by training.

  In addition, the service determination unit 11d uses the acoustic output unit 29 to determine the degree of coincidence as a result of pattern matching between the movement trajectory pattern of the wearer acquired by the situation estimation unit 11c and the movement trajectory pattern in ideal training. Alternatively, the display unit 13 may be used to output voice or text and notify the wearer. Thereby, the wearer can be a reference for performing more effective training.

  Furthermore, when it is estimated that the situation of the exercise state of the wearer acquired by the situation estimation unit 11c is not good, the service determination unit 11d stops the training and takes a break so that the sound output unit 29 or the display unit 13 May be used to output voice or text and notify the wearer. Thereby, the wearer can prevent excessive training.

  Next, a service in the case where the health condition of the wearer in the environment on the train is estimated will be described below.

  When it is estimated that the health condition of the wearer acquired by the situation estimation unit 11c is not good, the service determination unit 11d uses the sound output unit 29 or the display unit 13 to get off the train and take a break at the station. Used to output voice or text and notify the wearer.

  Next, a description will be given of a service when the drinking state of a wearer in an environment on a train is estimated.

  If it is estimated by the situation estimation unit 11c that the wearing state of the wearer is in a drunk situation, the service determination unit 11d may continue to ride with care according to the measured alcohol concentration, or Be careful not to get over at the station where you get off, or use the sound output unit 29 or the display unit 13 to output a voice or text to notify the wearer that you will get off the train and take a rest at the station. May be.

  Next, the similarity determination unit 11e of the processing unit 11 will be described below.

  The similarity determination unit 11e has a function of newly registering an environment that is not registered in the environment estimation unit 11a or a state of a wearer that is not registered in the analysis mode determination unit 11b.

  For example, it is assumed that the wearer repeatedly performs an action of swinging with a bat and hitting a ball at the batting center. The movement of the wearer is measured by the acceleration sensor 20 and the measurement data is stored in the storage unit 12. The wearer can register that the stored measurement data is in a swinging state with a bat in an environment where the user is staying at the batting center.

  Further, it is assumed that the wearer repeatedly operates the television using the remote controller in an environment where he / she stays at home. The movement of the wearer is measured by the acceleration sensor 20 and the measurement data is stored in the storage unit 12. The wearer may register that the stored measurement data is in a state of operating the television using a remote controller in an environment where he / she is staying at home.

  Furthermore, it is assumed that the wearer repeats the operation of drinking a beverage with a container containing the beverage in an environment where the user is staying at the restaurant. The movement of the wearer is measured by the acceleration sensor 20 and the measurement data is stored in the storage unit 12. The wearer may register that the stored measurement data is an operation of drinking a drink in an environment where the user is staying at a restaurant. Thereby, the wearable terminal 10 may notify the wearer of drinking the beverage when the wearer drinks less frequently in the environment where the user is staying at the restaurant.

  According to wearable terminal 10 of this embodiment mentioned above, a wearer's situation can be presumed using data which measured a wearer's state in various environments which a wearer experiences. Furthermore, the wearable terminal 10 can provide a service based on the estimated wearer situation.

  In the present invention, the method for estimating the situation of the wearable terminal or the wearer according to the above-described embodiment can be appropriately changed without departing from the gist of the present invention.

DESCRIPTION OF SYMBOLS 10 Wearable terminal 11 Processing part 11a Environment estimation part 11b Analysis mode determination part 11c Situation estimation part 11d Service determination part 11e Similarity determination part 11f Measurement analysis part 12 Storage part 12a Program 12b Measurement data 13 Display part 14 Input / output part 15 Communication part DESCRIPTION OF SYMBOLS 20 Acceleration sensor 21 GPS position sensor 22 Body temperature sensor 23 Heart rate sensor 24 Blood pressure sensor 25 Gaze sensor 26 Blood glucose level sensor 27 EEG sensor 28 Alcohol sensor 29 Acoustic output part 30 Vibration output part 40 In-vehicle apparatus 41 High functional portable terminal 42 Beacon transmitter 600 Look-up table 601 Environment column 602 Analysis mode column 603 Wearer status column 604 Sensor column

Claims (5)

At least one sensor for measuring the condition of the wearer;
An analysis mode comprising: an environment in which a wearer is placed, and one of the at least one sensor based on the estimated environment and an analysis method using the one of the sensors And a processing unit that estimates the wearer's situation using the determined analysis mode,
Wearable terminal equipped with. The environment includes at least that the wearer is in the vehicle,
The wearable terminal according to claim 1, wherein the processing unit estimates a situation of a wearer on the vehicle. The environment includes that the wearer is in the vehicle and before the wearer gets into the vehicle,
The wearable terminal according to claim 1 or 2, wherein the processing unit estimates a situation of the wearer during the boarding according to the situation of the wearer before boarding the vehicle.   The wearable terminal according to any one of claims 1 to 3, wherein the processing unit estimates the environment based on a wearer's operation, communication with an external device, or a position of the wearer. Estimate the environment where the wearer is located,
Based on the estimated environment, an analysis mode including any one of at least one sensor for measuring a wearer's condition and an analysis method using any one of the sensors is determined,
A method comprising estimating a wearer's condition using the determined analysis mode.

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