JP2009142333A - Exercise supporting device, exercise supporting method, exercise supporting system, exercise supporting control program and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an exercise supporting device for appropriately evaluating the physical condition of a user getting exercise. <P>SOLUTION: The exercise supporting device related to this invention evaluates the physical condition of the user by combining the transition of exercise data representing the quantity of exercise of the user and the transition of biological data representing the physiological state of the user, and presents contents of instructions to the user based on the result of the evaluation. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an exercise support device, an exercise support method, and an exercise support control program for evaluating the physical state of a user during exercise. The present invention also relates to an exercise support system including such an exercise support device.

  In recent years, an increasing number of people perform roadwork such as walking and jogging to prevent obesity and promote health. These exercises can be performed easily and are aerobic, so there is no unreasonable burden on the body. Therefore, these exercises are widely popular regardless of age or sex.

  However, depending on the physical strength and athletic ability of the person exercising, these exercises can be an excessive burden and may harm the body. For example, when referring to media such as books, television programs, and DVDs, excessive exercise may occur depending on the physical strength and athletic ability of the individual. In addition, since they do not have sufficient knowledge, they exercise excessively, and as a result, serious accidents due to sudden changes in the body such as myocardial infarction, angina pectoris, and heat stroke may occur.

  In order to solve such a problem, a system that supports exercise by evaluating the state of the user's body has been developed.

  For example, Patent Literature 1 discloses a motion sensor that is attached to a user's body and detects at least one of acceleration and angular velocity, a pulse wave sensor that is attached to the body and detects a pulse wave, and a motion sensor and a pulse wave sensor. There has been disclosed a body condition monitoring device comprising means for calculating and monitoring information representing a body condition using output data. According to this apparatus, for example, when the amount of exercise is within a predetermined range and the pulse is excessive or insufficient, an alarm signal is output.

  Patent Document 2 discloses a walking support system in which a mobile terminal carried by a walking person and a health management terminal of a health management center are connected via a network. The walking person can receive appropriate advice from the health care center by transmitting human body information from the portable terminal to the health care terminal before and after walking. In addition, when an abnormal situation occurs during walking, it is automatically notified to the appropriate organization by pressing an abnormal button on the portable terminal.

Patent Document 3 discloses an exercise support system including a wearable sensor unit that detects user vital information, a user terminal, and a center device that can be connected to the user terminal via a communication network. It is disclosed. According to this system, exercise content suitable for the user is presented based on the user's exercise purpose and personal data. Further, based on vital information during exercise, the user's exercise data is calculated. If the calculated exercise data does not fall within the target value range, the exercise data is changed to other exercise content.
JP 2003-24287 A (published January 28, 2003) JP 2003-6340 A (published on January 10, 2003) JP 2006-255028 A (published September 28, 2006)

  In order to prevent an accident due to a sudden change in the living body of a user, it is necessary to appropriately process the biological data and the exercise data and perform an abnormality determination based on the user's situation. That is, it is necessary to monitor whether or not the load on the body of the exercise performed by the user is appropriate and to give an appropriate instruction to the user according to the situation.

  However, in the above-described conventional technology, there is a problem in reliability when determining the user's physical condition. More specifically, this problem is as follows.

  For example, the monitoring device described in Patent Document 1 determines whether or not the measured pulse is within a set range, and determines whether or not it is normal only by the instantaneous value of the measurement. . Therefore, a problem remains in reliability in that the time change of the pulse change is not taken into consideration. Moreover, as biometric data, it is only in detecting a pulse wave. Usually, it is difficult to prevent myocardial infarction and angina without detecting blood pressure. Similarly, it is difficult to prevent heat stroke without detecting body temperature. It is not enough to detect only the pulse wave.

  Further, in the support system described in Patent Document 2, the human body information is detected and transmitted to the health care terminal only before and after walking, and no human body information is detected during walking. Therefore, even if walking is permitted based on the human body information before walking, it cannot cope with a sudden change in physical condition during walking. Further, regarding abnormality notification, the user himself / herself needs to press an abnormality button on the portable terminal. Therefore, when the user is not aware of the abnormality, the danger cannot be avoided.

  Also, the exercise support system described in Patent Document 3 only determines whether or not the calculated exercise data is within the range of the target value, and does not consider the time transition of the exercise data. . Further, no consideration is given to determining an abnormal situation based on vital information obtained from the sensor unit or taking measures such as stopping exercise.

  Therefore, the present invention has been made in view of the above problems, and an object of the present invention is to provide an exercise support apparatus that can cope with a sudden change in the physical state of a user during exercise.

  In order to solve the above-described problem, the exercise support apparatus according to the present invention evaluates a user's physical condition from a combination of exercise data representing the user's exercise amount and biological data representing the user's physiological state. An exercise support apparatus comprising: means; and a determination unit that determines an instruction content to be presented to the user using an evaluation result obtained by the evaluation unit, wherein the evaluation unit includes the transition of the exercise data; The body condition of the user is evaluated from a combination with the transition of the biometric data.

  The biological data and the exercise data are intended to be numerical values or a set of numerical values.

  According to the said structure, the exercise assistance apparatus of this invention can evaluate a user's physical condition from the combination of the exercise data showing a user's exercise amount, and the biometric data showing a user's physiological state. At that time, the physical state of the user is evaluated by combining both how the exercise data is changing and how the biological data is changing. That is, instead of evaluating the physical state using the instantaneous value of the data, the physical state is determined based on how much the exercise data has changed at a certain time and how much the biological data has changed at that time. Can be evaluated. For this reason, the instantaneous value of the data itself is within a preset allowable range, but it is possible to cope with a case where the data is abruptly changed from the data detected immediately before. Therefore, a sudden change in the physical condition of the user can also be detected. The exercise support apparatus of the present invention determines the instruction content in order to present the instruction content corresponding to such a sudden physical condition change to the user. The user can recognize that a sudden physical condition change has occurred in the user's own body based on the presented instruction content, and can take an appropriate action according to the instruction content. Therefore, it is possible to prevent a user's serious accident due to sudden biotransformation.

  Furthermore, in the exercise support apparatus according to the present invention, the evaluation means refers to a table in which an evaluation of a physical state is associated with each combination of the exercise data transition pattern and the biological data transition pattern. Preferably, the user's physical condition is evaluated.

  According to the said structure, the analysis (matrix analysis) by the combination of the transition pattern of exercise | movement data and the transition pattern of biometric data is performed, and a body state is evaluated. Therefore, multifaceted evaluation is possible as compared with evaluation using a simple threshold.

  Furthermore, in the exercise support apparatus according to the present invention, the determination means determines the instruction content based on a comparison result obtained by comparing the biological data and a preset target value and an evaluation result obtained by the evaluation means. It is preferable.

  According to the said structure, the content which instruct | indicates to a user can be determined based on the comparison result and the evaluation result obtained by the evaluation means by comparing biometric data with the preset target value. By comparing the biometric data and the target value, it is possible to determine whether or not the exercise being performed by the user gives an appropriate load to the user. Therefore, it is possible to present an appropriate instruction to the user based on the user's physical condition and exercise load status. Thereby, not only can a serious accident due to a sudden change in the body be prevented, but the user can always perform an exercise with an appropriate load.

  Furthermore, the exercise support apparatus according to the present invention preferably further includes setting means for setting the target value based on at least one of the age of the user and the exercise execution period of the user.

  According to the said structure, the suitable target value of biometric data can be easily calculated and set by a setting means. Specifically, the exercise intensity can be easily calculated by using the age of the user. Moreover, it becomes possible to set the target value according to a user's athletic ability and physical strength by using a user's exercise implementation period.

  Furthermore, in the exercise support device according to the present invention, it is preferable that the biological data is data representing at least one of the user's pulse rate, blood pressure, and body temperature.

  According to the said structure, it becomes possible to detect a rapid change, such as a pulse rate, blood pressure, and body temperature. When sudden changes occur in these biometric data, it is possible to prevent various sudden changes in the body such as myocardial infarction, angina pectoris, and heat stroke by sending appropriate instructions to the user. .

  Furthermore, the exercise support apparatus according to the present invention may further include a presentation unit that presents the instruction content determined by the determination unit to the user by at least one of screen display, voice, and a vibrator. preferable.

  According to the said structure, when a presentation means is a screen display, instruction content can be known correctly and a lot of information can be acquired. When the presenting means is voice or vibration, the user can easily recognize that the instruction content is presented.

  Furthermore, in order to solve the above-described problem, the exercise support method according to the present invention enables the exercise support apparatus to detect the user's body from a combination of exercise data representing the amount of exercise of the user and biological data representing the physiological state of the user. An exercise support method comprising: an evaluation step for evaluating a state; and a determination step for determining an instruction content to be presented to the user by the exercise support device using an evaluation result obtained by the evaluation step, The evaluation step is characterized in that the physical state of the user is evaluated from a combination of a transition of exercise data representing the amount of exercise of the user and a transition of biological data representing the physiological state of the user.

  According to the said structure, there exists an effect similar to the exercise assistance apparatus which concerns on this invention.

  An exercise support system including the exercise support device is also included in the category of the present invention.

  That is, the exercise support system according to the present invention is an exercise support system including a sensing device and an exercise support device, and the sensing device detects acceleration of a user and outputs acceleration data representing the acceleration. A biological sensor that detects the physiological state of the user and outputs biological data representing the physiological state, the acceleration data, or exercise data representing the amount of exercise of the user calculated based on the acceleration data, Transmitting means for transmitting the biological data to the exercise support device, the exercise support device receiving the acceleration data or the exercise data and the biological data from the sensing device. And evaluating the physical condition of the user from the combination of the transition of the exercise data and the transition of the biological data A value unit, characterized in that it comprises a determination means for determining the instruction content to be presented to the user by using the evaluation results obtained by the evaluation means.

  The exercise support device may be realized by a computer. In this case, an exercise support control program for realizing the exercise support apparatus in the computer by operating the computer as each of the means, and a computer-readable recording medium recording the exercise support control program also fall within the scope of the present invention. .

  As described above, the exercise support apparatus according to the present invention includes an evaluation unit that evaluates the user's physical condition by combining the transition of exercise data and the transition of biological data.

  Since the physical state is evaluated based on the transition of the exercise data and the transition of the biological data during the exercise, it is possible to appropriately cope with a sudden change in the physical state.

Embodiment 1
Embodiments of an exercise support system according to the present invention will be described below with reference to FIGS. In the present embodiment, a case where jogging is performed as a road work will be described, but the present invention is not limited to this.

(Configuration of exercise support system)
First, the exercise support system according to the present embodiment will be described below with reference to FIG.

  FIG. 2 is a schematic configuration diagram showing an embodiment of the exercise support system 100 according to the present invention. As illustrated in FIG. 2, the exercise support system 100 includes a sensing device 10 and an information terminal device 20 (exercise support device). Both are configured to be able to transmit at least various data from the sensing device 10 to the information terminal device 20 by wired or wireless communication. Examples of the communication method include Bluetooth (registered trademark), an infrared communication method, a wireless data communication method such as a wireless LAN, and a wired connection method via a cable.

  The sensing device 10 is attached to a part of the user's body, particularly a user's finger or arm, where biometric data such as pulse rate and blood pressure can be detected. The information terminal device 20 is carried by the user. The information terminal device 20 only needs to have a communication function for receiving data from the sensing device 10. For example, a mobile phone, a personal handy-phone system (PHS), a PDA (personal digital assistant), and a smartphone Etc. can be used. Data detected by the sensing device 10 is transmitted to the information terminal device 20. The information terminal device 20 receives and processes the transmitted data, thereby grasping the user's biological data and exercise data in the road work in real time.

(Information terminal equipment)
The configuration of the information terminal device 20 will be described below with reference to FIGS. 1 and 4.

  FIG. 4 is a block diagram illustrating a configuration of the information terminal device 20. As shown in FIG. 4, the information terminal device 20 includes an information processing unit 21, a bus 22 connected to the information processing unit 21, and a program memory connected to the information processing unit 21 via the bus 22. 23, a data memory 24, a communication interface (communication I / F) 25, a sensor communication interface (sensor communication I / F) 26, and an input / output interface (input / output I / F) 27.

  The communication I / F 25 is an interface for performing communication with a server device on the Internet. The information processing unit 21 can acquire the user's location information, the surrounding weather forecast, and traffic information from a server on the Internet via the communication I / F 25.

  The sensor communication I / F 26 is an interface for transmitting and receiving data to and from the sensing device 10. The information processing unit 21 can transmit data to the sensing device 10 and receive data from the sensing device 10 via the sensor communication I / F 26.

  The input / output I / F 27 is an interface for allowing the user to input information and to convey the instruction contents in the road work to the user. The input / output I / F 27 includes an input unit 28 having an input unit such as a numeric keypad, a display unit 29 (presentation unit) having a display unit such as an LCD (liquid crystal display), and a vibrator 30 (presentation unit) that transmits a signal to the user. The speaker 31 (presenting means) is also connected. The information processing unit 21 receives the data input in the input unit 28 via the input / output I / F 27, displays the instruction content for the user on the display unit 29, and transmits the instruction content to the user in the vibrator 30. Can be vibrated, or voice can be output from the speaker 31 to convey the instruction content to the user by voice.

  The data memory 24 is a storage device for storing various data. As the storage device, for example, a hard disk, flash memory, RAM, or the like can be used. The data memory 24 includes a personal information storage area 24a, a road work real-time data storage area 24b, a road work storage data storage area 24c, and an instruction content storage area 24d.

  The personal information storage area 24a stores information (data) such as the user's personal information, the maximum pulse rate data, and the appropriate pace of the road work. Personal information includes the user's date of birth, age, gender, height, weight, exercise period (for example, the date since aerobic exercise was performed regularly), address, name, occupation, family structure, and Data such as preferences are listed. These pieces of information are information that the user inputs via the input unit 28. The maximum pulse rate can be calculated from the age (eg, maximum pulse rate = 220−user age). The appropriate pace of the road work is calculated by an appropriate pace calculating unit described later.

  Information transmitted from the sensing device 10 is sequentially stored in the roadwork real-time data storage area 24b. The information transmitted from the sensing device 10 is calculated from the biological data such as the pulse rate, blood pressure, and body temperature detected by the biological sensor included in the sensing device 10 and the acceleration detected by the acceleration sensor included in the sensing device 10. It is the number of steps data, and the movement data such as the moving distance, the moving speed and the calorie consumption calculated from the number of steps. In the roadwork real-time data storage area 24b, these data can be stored as time-series data that is a collection of detected data detected at each time point. Note that the step count data may be an accumulated step count or a step count per unit time.

  The load work accumulated data storage area 24c stores data related to the result of the load work after the load work is completed. Roadwork results include, for example, a table such as Table 1 that summarizes the implementation date, start time, end time, and travel distance of the roadwork, and the speed at each time point every 5 minutes, as shown in Table 2. It is stored in a table that summarizes the pulse rate and exercise intensity.

  The pulse rate is intended to be a pulse rate per unit time (for example, 1 minute).

  The instruction content storage area 24d stores contents (character information indicating the instruction contents to the user such as “Please stop immediately”) used for the instruction to the user. This content is stored as shown in Table 3, for example. As shown in Table 3, these contents are stored in association with a presentation method such as whether to sound a sound (alert) and whether to vibrate a vibrator. Moreover, the evaluation table used when evaluating a user's physical condition is stored.

  The contents of the instruction are transmitted to the user by display on the display unit 29, vibration of the vibrator 30, voice output from the speaker 31, and the like.

  The program memory 23 stores a personal information setting program 23a, a detection data acquisition program 23b, a roadwork situation analysis program 23c, and an appropriate pace calculation program 23d. The personal information setting program 23a, the detection data acquisition program 23b, the roadwork situation analysis program 23c, and the appropriate pace calculation program 23d are a personal information setting section 21a, a detection data acquisition section 21b (calculation means), and a roadwork situation analysis section which will be described later. This is a program for causing the information processing section 21 to function as 21c (evaluation means, determination means) and an appropriate pace calculation section 21d (setting means).

  Next, a configuration included in the information processing unit 21 will be described with reference to FIG.

  FIG. 1 is a block diagram illustrating a main configuration of the information processing unit 21.

  As shown in FIG. 1, the information processing unit 21 includes a personal information setting unit 21a, a detection data acquisition unit 21b, a roadwork situation analysis unit 21c, and an appropriate pace calculation unit 21d. For example, a device such as a central processing unit (CPU) can be used as the information processing unit 21.

  The personal information setting unit 21a can receive the personal information input by the user using the input unit 28 via the input / output I / F 27 and store the personal information in the personal information storage area 24a.

  The detection data acquisition unit 21b receives the biological data, the step count data, and the time information transmitted from the sensing device 10 via the sensor communication I / F 26, and stores the received data in the roadwork real-time data storage area 24b. it can. The received pulse rate data of the user can be stored in the personal information storage area 24a. Further, it is possible to calculate exercise data such as a movement distance, a movement speed, and calorie consumption from the received step count data, and store the calculated exercise data in the road work real-time data storage area 24b. Moreover, the detection data acquisition part 21b can create the road work result table comprised like Table 1 and Table 2 after the end of a road work, and can store the created table in the road work accumulation data storage area 24c. .

  The roadwork situation analysis unit 21c can analyze the biological data and exercise data stored in the roadwork real-time data storage area 24b, and can evaluate the physical condition of the user. Further, it is possible to determine the content of instructions to the user based on the evaluation result. In the analysis, it is possible to refer to a preset table. In addition, the roadwork situation analysis unit 21c can read the instruction content from the instruction content storage area 24d and perform processing output from the input / output I / F 27. For example, if the instruction content includes display data, vibrator data, and audio data, the display data is displayed on the display unit 29 via the input / output I / F 27, the vibrator 30 is vibrated, and the speaker 31. Voice data can be output from the voice.

  The appropriate pace calculation unit 21d can calculate the road work pace distribution for realizing appropriate exercise intensity. The pace of the road work for realizing an appropriate exercise intensity varies depending on various factors such as the season and time zone in which the road work is performed. Based on the date and time when the user performs roadwork, the appropriate pace calculation unit 21d reads the roadwork result data stored in the roadwork accumulated data storage area 24c in the same past season and time zone. By using this data, it is possible to calculate the pace of the road work that realizes an appropriate exercise intensity in consideration of the season and time zone in which the road work is performed. The calculated appropriate pace data is stored in the personal information storage area 24a. By performing road work according to this pace, road work that achieves appropriate exercise intensity can be easily performed. If there is no roadwork record in the past, the appropriate pace may not be set.

The exercise intensity is proportional to the oxygen intake, and the exercise intensity can be expressed by the percentage of the maximum oxygen intake during the exercise. Maximum oxygen intake is the maximum amount of oxygen taken into the body by breathing. The oxygen intake during exercise increases with the exercise intensity. However, when the oxygen intake reaches the maximum oxygen intake, no more oxygen can be taken in even if the exercise intensity increases. Here, since the exercise intensity represented by the relative value of the maximum oxygen intake is highly correlated with the pulse rate during exercise, the exercise intensity can be obtained by measuring the pulse rate. That is, whether or not appropriate exercise intensity has been realized can be determined by measuring the pulse rate. For example, the exercise intensity can be obtained using the pulse rate as follows.
Maximum pulse rate = 220-User's age exercise intensity = 100 x (exercise pulse rate-resting pulse rate) / (maximum pulse rate-resting pulse rate)
Generally, an exercise intensity of 40% or more is required for strengthening physical strength. In this case, the pulse rate when the exercise intensity is 40% can be obtained as follows.
40% exercise intensity pulse rate = (maximum pulse rate-resting pulse rate) x 0.4 + resting pulse rate Therefore, in order to achieve an appropriate exercise intensity, the resting pulse rate is stored in advance in the personal information storage area 24a. It is preferable to store them in Further, it is also possible to detect a state of low acceleration as a resting state, detect the resting pulse rate by the pulse rate sensor 11, and transmit it to the information terminal device 20.

(Sensing device)
FIG. 3 is a block diagram showing the sensing device 10. As shown in FIG. 3, the sensing device 10 includes a pulse rate sensor 11 (biological sensor), a blood pressure sensor 12 (biological sensor), a body temperature sensor 13 (biological sensor), an acceleration sensor 14, a CPU 15, an antenna 16, and a memory 17. I have.

  The pulse rate sensor 11 detects a user's pulse rate or heart rate. The blood pressure sensor 12 detects a user's blood pressure. The body temperature sensor 13 detects a user's body temperature. The acceleration sensor 14 detects the acceleration of the user's movement. Known sensors may be used for the pulse rate sensor 11, blood pressure sensor 12, body temperature sensor 13, and acceleration sensor 14, respectively.

  CPU15 extracts step count data from the detection data of the acceleration sensor 14 using a well-known algorithm. The CPU 15 monitors each detection data detected by the pulse rate sensor 11, the blood pressure sensor 12, and the body temperature sensor 13. Then, when at least one of the pulse rate, blood pressure, and body temperature exceeds a predetermined value, or when the pulse rate, the blood pressure, and the body temperature change by a predetermined amount or when the predetermined time has elapsed, the biometric data and the step count data are transmitted to the antenna. 16 to the information terminal device 20. When the CPU 15 has a built-in time management module such as a real time clock, the time information may be transmitted simultaneously.

  The memory 17 is for temporarily storing the data to be transmitted to the information terminal device 20 until it is transmitted.

(Exercise support system processing)
Next, processing executed by the exercise support system 100 configured as described above will be described below with reference to FIGS.

  FIG. 5 is a flowchart showing a flow of initial setting processing before the start of road work in the exercise support system 100.

  First, before starting the road work, the user attaches the sensing device 10 to a predetermined part and activates the application of the information terminal device 20. When this application is activated, the personal information setting program 23a, the detection data acquisition program 23b, the road work situation analysis program 23c, and the appropriate pace calculation program 23d are loaded into the information processing unit 21, and the personal information setting unit 21a, detection Each process shown in FIGS. 5 to 8 is executed by the data acquisition unit 21b, the roadwork situation analysis unit 21c, and the appropriate pace calculation unit 21d. The application can be obtained by any method.

  With reference to FIG. 5, steps S101 to S102 and S111 to S115 showing respective processes of the sensing device 10 and the information terminal device 20 after mounting the sensing device 10 and after starting an application of the information terminal device 20 will be described. If it is as follows.

  Steps S101 to S102: After being attached to the user, the sensing device 10 detects the resting pulse rate of the user before road work by the pulse rate sensor 11 (Step S101). The sensing device 10 starts transmitting the detected resting pulse rate data to the information terminal device 20 via the antenna 16 (step S102). In step S113, which will be described later, the information terminal device 20 receives resting pulse rate data. When sensing device 10 receives a signal related to transmission stop from information terminal device 20, sensing device 10 stops transmission of resting pulse rate data.

  Steps S111 to S116: The user first inputs the user's personal information from the input unit 28. The personal information includes the date of birth, age, sex, height, weight, and a period after starting a predetermined exercise. These pieces of information are also used for calculating the maximum pulse rate, calculating the optimum exercise intensity, and analyzing the situation of the user during road work. The period after the start of the predetermined exercise is for use in calculating a target pulse rate corresponding to the user in step S114 described later. For example, a level value corresponding to how long the “exercise of about 20 minutes at least once every two days” is performed may be input. For example, level 1 if less than 3 months, level 2 if 3 months or more and less than 6 months, level 3 if 6 months or more and less than 1 year, level 4 if more than 1 year and less than 2 years, and 2 years If it is above, it can be set as the selection type like level 5.

The personal information setting unit 21a of the information terminal device 20 accepts input of the user's personal information from the input unit 28 by the user and stores it in the personal information storage area 24a (step S111). The appropriate pace calculation unit 21d reads the personal information input from the personal information storage area 24a, and calculates the maximum pulse rate of the user based on the information (step S112). The calculation of the maximum pulse rate is
It is generally known that the maximum pulse rate is calculated as 220−the age of the user. In the present embodiment, the maximum pulse rate is obtained by this calculation formula, but may be obtained by another calculation formula. The information terminal device 20 receives the resting pulse rate transmitted from the sensing device 10 in step S102 (step S113). The received resting pulse rate data is sent to the appropriate pace calculation unit 21d. The appropriate pace calculation unit 21d calculates a target pulse rate for realizing an optimal exercise intensity for the user using the resting pulse rate and the personal information read from the personal information storage area 24a (step S114). To calculate the target pulse rate,
It is generally known that target pulse rate = (maximum pulse rate−resting pulse rate) × coefficient + resting pulse rate. In this embodiment, the target pulse rate is obtained by this calculation formula. Alternatively, it may be obtained by another calculation formula. The coefficient differs depending on the level described above. In the present embodiment, the coefficients at levels 1, 2, 3, 4, and 5 are set to 0.4, 0.5, 0.6, 0.7, and 0.8, respectively.

  When receiving the data transmitted in S102, the information terminal device 20 transmits a signal for stopping the transmission of the resting pulse rate data to the sensing device 10. The personal information received in step S111 and the target pulse rate calculated in step S114 are stored in the personal information storage area 24a (step S115).

  Thus, the initial setting of the exercise support system 100 is completed. Although the initial setting is basically performed only when the exercise support system 100 is used for the first time, the resting pulse rate may be detected every time.

  FIG. 6 is a flowchart showing a processing flow at the time of road work of the exercise support system 100. Steps S201 to S213 and steps S221 to S231 will be described with reference to FIG.

  Steps S221 to S231: The user performs an operation for starting roadwork on the information terminal device 20. The information terminal device 20 receives a roadwork start operation from the user, and transmits a roadwork start signal to the sensing device 10 (step S221). The appropriate pace calculation unit 21d reads the target pulse rate from the personal information storage area 24a (step S222), calculates the appropriate pace of roadwork by the calculation method described later, and stores it in the personal information storage area 24a (step S223). Thereafter, the information terminal device 20 waits to receive biological data and step count data from the sensing device 10 (step S224).

  When the information terminal device 20 receives transmission data from the sensing device 10 in step S210, which will be described later (step S225), the detection data acquisition unit 21b calculates exercise data from the received step count data (step S226). The exercise data is stored in the road work real-time data storage area 24b (step S227). Examples of the exercise data to be calculated include a moving distance, a moving speed, and calorie consumption. Note that the step count data may be used as exercise data as it is. The sensing device 10 may calculate exercise data such as a moving distance from the step count data and transmit the calculated exercise data to the information terminal device 20. In this case, step S226 can be omitted. Next, the roadwork situation analysis unit 21c acquires time-series data of biological data and time-series data of exercise data from the roadwork real-time data storage area 24b, and uses the biological data and exercise data by an analysis method described later, The user's physical condition is evaluated, an instruction to the user is determined based on the evaluation result, and an appropriate instruction is presented to the user (step S228).

  If the analysis result in step S228 is roadwork continuation, the information terminal device 20 transitions to a state of waiting for 10 data reception from the sensing device in step S224 (step S229). Therefore, each process from step S224 to step S228 is repeated until the road work is completed. Thereby, the biological data and exercise data at each time point are accumulated in the roadwork real-time data storage area 24b. The roadwork situation analysis unit 21c appropriately evaluates the user's physical condition by referring to the time-series data configured by the data thus accumulated, and based on the result, provides an appropriate instruction to the user. Can be presented.

  On the other hand, if the analysis result in step S228 is the end of the road work, the information terminal device 20 transmits a signal that is an instruction to end the road work to the sensing device 10 (step S230). Then, the detection data acquisition unit 21b creates a road work result table as shown in Table 1 and Table 2, stores this result in the road work accumulated data storage area 24c (step S231), and ends.

  Steps S201 to S213: On the other hand, when the sensing device 10 receives the roadwork start signal from the information terminal device 20 (Step S201), the sensing device 10 starts detecting the user's acceleration (Step S202). When a predetermined time (for example, 1 minute) has elapsed from the start of acceleration detection (step S203), the sensing device 10 extracts the number of steps using a known algorithm (step S204), and stores the number of steps data in the memory 15 (step S203). S205). In addition, the sensing device 10 detects biological data of the pulse rate, blood pressure, and body temperature (step S206), and stores the detected biological data in the memory 17 (step S207).

  The sensing device 10 compares the detected biometric data with the biometric data one minute ago, and determines whether the change is greater than a predetermined value (for example, the pulse rate has increased three times or more) (step S208). When the biometric data changes by a predetermined value or more, the sensing device 10 immediately transmits the time, the biometric data, and the step count data to the information terminal device 20 (step S210). On the other hand, when the amount of change is smaller than the predetermined value, the sensing device 10 transmits time, biological data, and step count data to the information terminal device 20 every predetermined time (for example, 3 minutes) (step S210). . In this case, either one that transmits all data or one that transmits only untransmitted data may be used. If the data transmission has not been completed, the process proceeds to step S210 to retransmit the data.

  When the sensing device 10 has not received the roadwork end instruction signal from the information terminal device 20, the sensing device 10 proceeds to step S202 and continues to detect acceleration (step S212). When the roadwork end instruction signal is received from the information terminal device 20, the detection of acceleration is stopped (step S213), and the process ends.

  Next, a method for calculating an appropriate pace will be described.

  FIG. 7 is a flowchart showing the flow of the appropriate pace calculation process in the information processing unit 21 of the information terminal device 20.

  With reference to FIG. 7, steps S <b> 301 to S <b> 308 showing the process for calculating the appropriate pace will be described as follows.

  The appropriate pace calculation unit 21d determines whether or not a road work result table is stored in the road work accumulated data storage area 24c (step S301). If the road work result table is not stored, the appropriate pace is not set (step S302).

  When the roadwork result table is stored, the appropriate pace calculation unit 21d determines whether there is a roadwork result table in the same season as the date and time when the roadwork is performed (step S303). In this embodiment, it is determined whether or not the same season, with March to May as spring, June to August as summer, September to November as autumn, and December to February as winter. . If there is no roadwork result table for the same season, the appropriate pace is calculated as follows. The proper pace calculation unit 21d uses all roadwork results stored in the roadwork accumulated data storage area 24c, and averages the speed when the pulse rate is within a range of 5% above and below the target pulse rate. The value is calculated and set to an appropriate pace 1 (step S304). If there is a roadwork result table for the same season, the appropriate pace is calculated as follows. The appropriate pace calculation unit 21d determines whether or not there is a roadwork result table in the same season and time period as the date and time when the roadwork is performed (step S305). If there is no roadwork result table for the same time zone, the appropriate pace calculation unit 21d calculates the appropriate pace 2 by using the same season roadwork result in the same manner as the calculation of the appropriate pace 1 (step) S306). When there is a roadwork result table for the same season and the same time zone, the appropriate pace calculation unit 21d calculates the appropriate pace 3 by using the roadwork result in the same manner as the calculation of the appropriate pace 1 (Step S307).

  The appropriate pace calculation unit 21d stores the user's appropriate pace calculated as described above in the personal information storage area 24a. The calculation method described above is based on the fact that the pace of roadwork for maintaining the target pulse rate varies depending on the season and time zone in which roadwork is performed. The information terminal device 20 can receive weather data such as temperature and humidity from the Internet server or the like via the communication I / F 25. Therefore, the appropriate pace calculating unit 21d can also set the appropriate pace with reference to these data.

  Next, a method for evaluating a user's physical condition using biological data and exercise data and presenting an appropriate instruction to the user based on the evaluation result will be described. In addition, it demonstrates using the pulse rate as a biological data, and using the speed in roadwork (jogging) as exercise data.

  FIG. 8 is a flowchart showing the flow of processing in the information processing unit 21 for evaluating the user's physical condition and determining the instruction content to the user based on the result.

  With reference to FIG. 8, steps S401 to S418 showing a process for evaluating the user's physical condition and determining the instruction content to the user based on the result will be described as follows.

  Steps S401 to S418: The roadwork situation analysis unit 21c extracts biological data and exercise data stored in the roadwork real-time data storage area 24b, and determines whether or not the current pulse rate has reached a risk value. Is performed (step S401). For example, when the pulse rate has reached the maximum pulse rate, it is considered that the risk value has been reached. In addition, blood pressure and body temperature can also be determined using numerical values preset by the user as dangerous numerical values. As a result, accidents such as myocardial infarction and angina can be prevented. When the biometric data has reached the dangerous numerical value, the roadwork situation analyzing unit 21c acquires the instruction content “stop” from the instruction content storage area 24d (step S402).

  When the pulse rate has not reached the risk value, the roadwork situation analysis unit 21c refers to the evaluation table in Table 4 to evaluate the transition of the pulse rate during roadwork and evaluate the physical condition (step S403). ). In the present embodiment, as will be described later, the evaluation is performed by three-level evaluation of “normal (◯)”, “caution (Δ)”, and “abnormal (×)”.

  In the evaluation of the transition of the pulse rate in step S403, the roadwork situation analysis unit 21c uses the current pulse data and roadwork speed data, and the pulse data and roadwork speed data received immediately before the roadwork real-time data. Extracted from the time-series data of the pulse data and the time-series data of the velocity data stored in the storage area 24b. The roadwork situation analysis unit 21c calculates the increase or decrease of each data using the extracted data. That is, by comparing the current pulse data with the previous pulse data, the pulse rate transition (increase, decrease, or constant) is determined, and the current velocity data is compared with the previous velocity data. To identify the transition of speed (increase, decrease, or constant). The roadwork situation analysis unit 21c reads the evaluation table from the instruction content storage area 24d, and determines an evaluation corresponding to the transition of the pulse rate and the speed (step S403). The evaluation table used for evaluating the change in pulse rate is a table in which an evaluation value is associated with each combination of a change in pulse rate and a change in speed. The evaluation table illustrated in Table 4 is used to evaluate the change in pulse rate in three stages of “normal”, “caution”, and “abnormal”.

  Referring to Table 4, when the pulse rate is increasing despite the constant roadwork speed, the roadwork situation analysis unit 21c evaluates the transition of the pulse rate as “attention” ( “Δ” in Table 4). When the pulse rate is increasing despite the decrease in the speed of the road work, the road work state analyzing unit 21c evaluates the transition of the pulse rate as “abnormal” (“×” in Table 4). ). When the pulse rate is constant or decreasing regardless of changes in roadwork speed, or when both the speed and pulse rate are increasing. The roadwork situation analysis unit 21c evaluates the transition of the pulse rate as “normal” (“◯” in Table 4).

  The increase / decrease and constant determination of each data is, for example, compared with the data detected immediately before, if the difference is within 5% of the data detected immediately before, it is fixed. If it exceeds, it may be increased or decreased. An increase in the range of 5% to 20% is “Increase 1”, an increase of 20% or more is “Increase 2”, and a decrease in the range of 5% to 20% is “Decrease 1”, 20% The above reduction may be evaluated as “decrease 2” by further subdividing the increase and decrease.

  As described above, since the roadwork situation analysis unit 21c evaluates the change in speed and the change in pulse rate in association with each other, the pulse rate increases even though the exercise load is reduced. It is possible to detect abnormal physical conditions such as being.

  In Step 403, in addition to the evaluation table based on the pulse rate transition and the speed transition as shown in Table 4, the evaluation table based on the blood pressure transition and the speed transition as shown in Table 5, or You may make it evaluate the change of biometric data using the evaluation table based on transition of a body temperature as shown in Table 6, and a transition of speed.

  Next, the roadwork situation analysis unit 21c determines contents to be instructed to the user based on the evaluation result.

  First, the roadwork situation analysis unit 21c refers to the evaluation result in step S403, and determines whether or not the transition of the pulse rate is within a normal range (step S404). If the evaluation result in step S403 is “Δ” or “×”, it is determined that the pulse rate transition is out of the normal range. When the evaluation result in step S404 is “◯”, the transition of the pulse rate is determined to be within the normal range.

  When the roadwork situation analysis unit 21c determines that the pulse rate transition is outside the normal range in step S404, the roadwork situation analysis unit 21c calculates the speed transition using the time-series data of the speed data (step S405). If the speed is decreasing as a result of the calculation, the roadwork situation analyzing unit 21c acquires the instruction content “stop” from the instruction content storage area 24d (step S406). When the speed has not decreased, the roadwork situation analysis unit 21c acquires the instruction content “pace down” from the instruction content storage area 24d (step S407).

  When the roadwork situation analyzing unit 21c determines that the pulse rate transition is within the normal range in step S404, the roadwork state analyzing unit 21c reads the target pulse rate from the personal information storage area 24a, and the current pulse rate exceeds the target pulse rate. It is determined whether it is below, below or a target pulse rate (step S408, S410). In this embodiment, the determination of whether the target pulse rate is exceeded, below, or the same is determined as “same” when it is within 5% of the target pulse rate, If it exceeds the target pulse rate + 5%, it is determined to be “exceeded”, and if it is below the target pulse rate −5%, it is determined to be “below”, but it is limited to this. It is not something.

  First, it is determined whether or not the current pulse rate exceeds the target pulse rate (step S408), and if so, the roadwork situation analysis unit 21c reads “pace down” from the instruction content storage area 24d. Is acquired (step S409). On the other hand, if it is determined in step S408 that the target pulse rate is not exceeded, it is determined whether the target pulse rate is below the target pulse rate (step S410).

  If it is below the target pulse rate, the roadwork situation analysis unit 21c determines whether or not an appropriate pace is stored in the personal information storage area 24a (step S411). If the proper pace is not stored, the roadwork situation analysis unit 21c acquires the instruction content “pace-up” from the instruction content storage area 24d (step S416). When the appropriate pace is stored in the personal information storage area 24a, the roadwork situation analyzing unit 21c reads the appropriate pace, and further reads the current speed from the roadwork real-time data storage area 24b, and compares the two. It is then determined whether or not the current speed is an appropriate pace (step S412). If the current speed does not reach the appropriate pace, the roadwork situation analysis unit 21c acquires the instruction content “pace-up” from the instruction content storage area 24d (step S413). When the current speed is an appropriate pace or faster than that, the roadwork situation analysis unit 21c acquires the instruction content of “maintain” from the instruction content storage area 24d (step S414). If the current speed does not reach 70% of the appropriate pace, it may be determined that “the appropriate pace has not been reached”.

  When it is determined in step S410 that the current pulse rate is the same as the target pulse rate, the roadwork situation analysis unit 21c acquires the instruction content “maintain” from the instruction content storage area 24d (step S415). .

  The roadwork situation analysis unit 21c performs the process of step S402, step S406, step S407, step S409, step S413, step S414, step S415, or step S416, and then loads the instruction content acquired in these steps. Store in the real-time data storage area 24b. The roadwork situation analysis unit 21c reads the instruction content stored in step S417 from the roadwork real-time data storage area 24b, and outputs the read instruction content via the input / output I / F 27 (step S418). For the feedback to the user, a function of the information terminal device 20 may be used to call the user's attention. For example, a screen display as shown in Table 3, sound, and a vibrator may be combined.

  In step S403, the roadwork situation analysis unit 21c transitions to step 415 when the change in pulse rate is evaluated as “◯”, transitions to step S407 when it evaluates “Δ”, or “× ", The process may transition to step S406. Even in this case, an appropriate instruction corresponding to a sudden change in the pulse rate can be sent to the user.

  If the exercise support system 100 is adopted as described above, the user regards the low acceleration state as the resting state, detects the pulse rate in the resting state by the sensing device 10, and transmits it to the information terminal device 20. The information terminal device 20 calculates the maximum pulse rate of the user from personal information (birth date, sex, height, weight, exercise period, etc.) registered in advance. During exercise (for example, walking), the step count data calculated from the biological data and acceleration data detected by the sensing device 10 is periodically transmitted to the information terminal device 20, and the information terminal device 20 uses the step count data to calculate the moving speed and the like. Motion data is calculated, and matrix analysis is performed using changes in motion data and biological data per unit time. Thereby, the change state of the biometric data based on the user's exercise state can be evaluated. For example, a warning instruction can be fed back when the pulse rate continues to increase despite the roadwork speed being constant or decreasing.

  Moreover, the information terminal device 20 can memorize | store the exercise | movement result of every time. The speed of the exercise that achieves a predetermined pulse rate varies depending on the season and time of the exercise. However, by using the information terminal device 20, it is possible to calculate and set an appropriate pace of the road work for obtaining an appropriate effect at the start of each road work.

  Therefore, according to the exercise support system 100, it is possible to obtain assistance in determining whether to stop or continue exercise according to changes in physical condition during exercise such as jogging and walking. In addition, if you continue to exercise, you will not only get a pace setting that gives you a comfortable exercise intensity according to your ability to exercise, but you should also increase, decrease, or maintain the pace to increase exercise efficiency. You can also get help in deciding what to do.

  Note that the information processing unit 21 may include an abnormal value determination unit that determines whether or not the detected value is an abnormal value such as an error before the detected value is used for physical condition evaluation. Good. In this case, the accuracy of the evaluation of the physical condition can be increased by eliminating the incorrect value from the data used for the evaluation.

  Hereinafter, a method for determining whether or not the detected value is an abnormal value will be described.

The detection data acquisition unit 21b stores the biological data x (n) in the roadwork real-time data storage area 24b based on time series. The detection data acquisition unit 21b reads the previous predetermined number of biological data from the roadwork real-time data storage area 24b, and calculates the average μ (l) and standard deviation σ (l) from the read data. A comparison is made using the current biological data x (n), average μ (l), and standard deviation σ (l), and the current biological data x (n)
(Μ (l) −σ (l)) <biological data x (n) <(μ (l) + σ (l))
If it is not within the range, it is stored as a “value that may be abnormal”. Next, comparison is performed using the biological data x (n + 1) detected next to the biological data x (n), the average μ (l), and the standard deviation σ (l), and the biological data x (n + 1) is
(Μ (l) −σ (l)) <biometric data x (n + 1) <(μ (l) + σ (l))
If it is not within the range, that is, if it has deviated from the biological data of the past number of times in the last two consecutive times, x (n) is regarded as an abnormal value and excluded from the data used for the evaluation of the physical condition. . The roadwork situation analysis unit 21c can improve the accuracy of evaluation by using time-series data from which abnormal values are excluded.

[Embodiment 2]
An embodiment in which the exercise support apparatus according to the present invention is applied to server-client cooperation will be described below.

  The information terminal device 20 includes a position detection unit, a velocity detection unit, and a biological data detection unit, and captures the user's state by acquiring the user's position data, velocity data, and time-series data of the biological data. To do. The information terminal device 20 transmits position data, speed data, and biological data as roadwork information to the server base station via the communication I / F 25. Thereafter, the information terminal device 20 receives the service information selected in the server based on the roadwork information. When transmitting roadwork information, the operation information of the user's information terminal device 20 may be transmitted to the server base station.

  The position detection unit can be configured by a device that detects a geographical position on the ground such as GPS. The speed detection unit can be configured by a device that detects a moving speed, such as an acceleration sensor. The information terminal device 20 may transmit the various detected information to the server base station in real time. The server base station searches for service information on the database based on the roadwork information from the information terminal device 20, and transmits the service information acquired as a search result to the information terminal device 20.

  This service information presents weather forecasts and traffic information based on user location information acquired in real time and course information in road work. Thereby, it is possible to provide information with improved convenience in the user's road work. The information terminal device 20 receives these pieces of information from the server base station, and displays these pieces of information on the display unit 29.

(Additional notes)
The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is also included in the technical scope of the present invention.

  For example, each block of the information terminal device 20 may be configured by hardware logic, or may be realized by software using a CPU as follows.

  That is, the information terminal device 20 includes a central processing unit (CPU) that executes instructions of a control program that realizes each function, a read only memory (ROM) that stores the program, and a random access memory (RAM) that expands the program. And a storage device (recording medium) such as a memory for storing the program and various data. An object of the present invention is to provide a recording medium on which a program code (execution format program, intermediate code program, source program) of a control program of the information terminal device 20 which is software for realizing the above-described functions is recorded so as to be readable by a computer. This can also be achieved by supplying the information terminal device 20 and reading and executing the program code recorded on the recording medium by the computer (or CPU or MPU).

  Examples of the recording medium include a tape system such as a magnetic tape and a cassette tape, a magnetic disk such as a floppy (registered trademark) disk / hard disk, and an optical disk such as a CD-ROM / MO / MD / DVD / CD-R. Card system such as IC card, IC card (including memory card) / optical card, or semiconductor memory system such as mask ROM / EPROM / EEPROM / flash ROM.

  Further, the information terminal device 20 may be configured to be connectable to a communication network, and the program code may be supplied via the communication network. The communication network is not particularly limited. For example, the Internet, intranet, extranet, LAN, ISDN, VAN, CATV communication network, virtual private network, telephone line network, mobile communication network, satellite communication. A net or the like is available. Also, the transmission medium constituting the communication network is not particularly limited. For example, even in the case of wired such as IEEE 1394, USB, power line carrier, cable TV line, telephone line, ADSL line, etc., infrared rays such as IrDA and remote control, Bluetooth ( (Registered trademark), 802.11 wireless, HDR, mobile phone network, satellite line, terrestrial digital network, and the like can also be used. The present invention can also be realized in the form of a computer data signal embedded in a carrier wave in which the program code is embodied by electronic transmission.

  In addition, it can also be said that the exercise support system of the present invention has the following points as feature points. That is, an acceleration detection step for detecting acceleration, a step for calculating motion data from the acceleration, a step for detecting biological data for detecting biological data, a step for calculating time-series changes in motion data, and a time-series change in biological data In other words, it is characterized by monitoring the presence / absence of an abnormality of the body by performing a matrix analysis on the time series change of the motion data and the time series change of the biological data. Also, an acceleration detection step for detecting acceleration, a step for calculating exercise data from the acceleration, a biometric data detection step for detecting biometric data, and a calculation of an exercise load based on personal information, exercise data, and biometric data In other words,

  The present invention can be widely used in support systems that send appropriate instructions to users during roadwork.

It is a block diagram which shows the structure of the information processing part in one Embodiment of this invention. It is a figure which shows the sensing apparatus and information terminal device in one Embodiment of this invention. It is a block diagram which shows the structure of the sensing apparatus in one Embodiment of this invention. It is a block diagram which shows the structure of the information terminal device in one Embodiment of this invention. It is a flowchart which shows the flow of a process of the initial setting of the exercise assistance system before the road work of one Embodiment of this invention. It is a flowchart which shows the flow of a process of the exercise assistance system at the time of the road work of one Embodiment of this invention. It is a flowchart which shows the flow of the process which calculates the appropriate pace of the road work in the information processing part of one Embodiment of this invention. It is a flowchart which shows the flow of the process which determines the instruction | indication content to the user based on the evaluation of the physical state at the time of roadwork in the information processing part of one Embodiment of this invention, and the evaluation result.

Explanation of symbols

10 Sensing Device 11 Pulse Rate Sensor (Biosensor)
12 Blood pressure sensor (biological sensor)
13 Body temperature sensor (biological sensor)
14 Acceleration sensor 15 CPU (transmission means)
16 Antenna (Transmission means)
20 Information terminal device (exercise support device)
21 Information processing unit 21a Personal information setting unit 21b Detection data acquisition unit (calculation means)
21c Roadwork situation analysis department (evaluation means, determination means)
21d Appropriate pace calculation unit (setting means)
22 Bus 24a Personal information storage area 24b Roadwork real-time data storage area 24c Roadwork storage data storage area 24d Instruction content storage area 26 Sensor communication I / F (reception means)
29 Display section (presentation means)
30 Vibrator (presentation means)
31 Speaker (presentation means)
100 Exercise support system

Claims (10)

An evaluation means for evaluating the physical condition of the user from a combination of exercise data representing the amount of exercise of the user and biological data representing the physiological state of the user, and using the evaluation result obtained by the evaluation means, An exercise support apparatus comprising a determining means for determining instruction content to be presented;
The said evaluation means evaluates a user's physical condition from the combination of transition of the said exercise | movement data and transition of the said biometric data, The exercise | movement assistance apparatus characterized by the above-mentioned.   The evaluation means evaluates the user's physical condition by referring to a table in which physical condition evaluation is associated with each combination of the movement data transition pattern and the biological data transition pattern. The exercise support apparatus according to claim 1.   The determination means determines the instruction content based on a comparison result obtained by comparing the biometric data with a preset target value and an evaluation result obtained by the evaluation means. The exercise support device according to 1.   The exercise support apparatus according to claim 3, further comprising setting means for setting the target value based on at least one of the age of the user and an exercise implementation period of the user.   The exercise support apparatus according to any one of claims 1 to 4, wherein the biological data is data representing at least one of the pulse rate, blood pressure, and body temperature of the user.   The said instruction | indication content determined by the said determination means is further provided with the presentation means to show to a user by at least any one of a screen display, an audio | voice, and a vibrator, The Claim 1 to 5 characterized by the above-mentioned. Exercise support device. An evaluation step in which the exercise support device evaluates the physical state of the user from a combination of exercise data representing the amount of exercise of the user and biological data representing the physiological state of the user;
Using the evaluation result obtained by the evaluation step, a determination step of determining the instruction content that the exercise support device presents to the user, and an exercise support method,
The said evaluation process evaluates a user's physical condition from the combination of the transition of the exercise data showing a user's exercise amount, and the transition of the biometric data showing the physiological state of this user. An exercise support system including a sensing device and an exercise support device,
The sensing device is
An acceleration sensor that detects the user's acceleration and outputs acceleration data representing the acceleration;
A biosensor that detects the physiological state of the user and outputs biometric data representing the physiological state;
Transmission means for transmitting the acceleration data, or exercise data representing the amount of exercise of the user calculated based on the acceleration data, and the biological data to the exercise support device;
The exercise support device includes:
Receiving means for receiving the acceleration data or the motion data and the biological data from the sensing device;
From the combination of the transition of the exercise data and the transition of the biological data, the evaluation means for evaluating the physical state of the user,
An exercise support system comprising: a determination unit that determines an instruction content to be presented to the user using an evaluation result obtained by the evaluation unit.   An exercise support control program for operating the exercise support apparatus according to claim 1, wherein the computer functions as each of the means.   A computer-readable recording medium in which the control program according to claim 9 is recorded.

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