JP2013188294A - Exercise information generation system, exercise information generation program and exercise information generation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an exercise information generation system, an exercise information generation program and an exercise information generation method, allowing a user to easily and properly comprehend an actual running posture or the like in time of exercise.SOLUTION: In an exercise information generation system, map information 112 wherein a running route RT is overlapped based on GPS (Global Positioning System) data, graphs 114-117 indicating changes of heartbeat data, calorie consumption, a running speed, and an altitude based on the heartbeat data, acceleration data, and the GPS data, and an animation 113 in which an exercise state such as a running posture, swinging of arms, a stride or the like of a user US is reflected based on the acceleration data and angular velocity data are displayed on a page screen 110 of a web browser 100 of an information terminal 30. The animation 113 is reproduced and displayed interlockingly with a spot on the running route or the graphs 114-117.

Description

  The present invention relates to an exercise information generation system, an exercise information generation program, and an exercise information generation method, and in particular, an exercise information generation system and exercise information that allow a user to easily and accurately grasp an actual running posture during exercise. The present invention relates to a generation program and an exercise information generation method.

  In recent years, with an increase in health consciousness, an increasing number of people are conscious of health conditions, such as running, walking and cycling on a daily basis to maintain and improve their health. Such people with high health awareness tend to be highly interested in measuring and recording their health and exercise status with numerical values and data. For example, using various measuring devices such as a heart rate monitor, a pedometer, a GPS receiver (Global Positioning System), or a mobile terminal incorporating these functions, the number of steps, distance traveled, By measuring and recording heart rate, calories burned, etc., he / she knows his / her health condition and exercise condition.

  For example, Patent Document 1 discloses a technique in which position data obtained by a GPS receiver is associated with biological information such as a heart rate and a moving speed and information related to an exercise state and displayed on a display. Here, in Patent Document 1, various data (such as a heart rate and a moving speed) indicating biological information and exercise state at an arbitrary position on an exercise path superimposed on a map displayed on a display are displayed in different areas of the display. Are described as gauges, scales, and numerical values.

  Further, for example, in Patent Document 2, various data indicating biological information and exercise state at an arbitrary position on an exercise path obtained by a GPS receiver is replaced with a pre-patterned character display and displayed on a display. It is described that the character is superimposed and displayed in the map.

  According to such an exercise state display method, various data such as heart rate and movement speed are displayed on the display by gauges, scales, characters, etc. in conjunction with the exercise path. It is easy to grasp at a glance.

Special table 2008-524589 JP 2009-039157 A

  As mentioned above, people who continue running, walking, cycling, etc. aim to maintain and improve their health, but in recent years they have become more serious with the goal of participating in marathons and competitions. There are an increasing number of people who are training. For those who aim to participate in such competitions and competitions, the above-mentioned state of motion is understood and analyzed from a more professional and scientific viewpoint, and reflected in daily training. There is a growing demand to make good use of records at meetings.

  However, in the exercise state display method as described above, the exercise route is associated with various data indicating the biological information and the exercise state and is merely displayed on the display, for example, actual running during running Since posture, arm swing, stride, etc. cannot be grasped in association with other biological information and various data, there is a problem that the acquired biological information and various data cannot be sufficiently reflected in daily training. Was.

  In view of the above-described problems, the present invention provides an exercise information generation system, an exercise information generation program, and an exercise information generation method that allow a user to easily and accurately grasp an actual running posture during exercise. The purpose is to do.

The exercise information generation system according to the present invention includes:
A first sensor that detects acceleration during movement of the human body and outputs acceleration data;
A second sensor for detecting angular velocity during the movement of the human body and outputting angular velocity data;
A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the motion of the human body, and a pattern of a change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data. Among the plurality of animation patterns, each of which is associated with a set of a plurality of change waveform patterns, each defining the movement of the skeleton model, the movement of the human body detected by the first and second sensors. A change waveform that is similar to or coincides with a set of a change waveform pattern per unit time of the acceleration vector and a change waveform pattern per unit time of the angular velocity vector, calculated based on the acceleration data and the angular velocity data A pattern set of The animation pattern, by setting the operation of the skeleton model, characterized in that the identification information generating unit for generating an animation comprises.

The exercise information generation program according to the present invention includes:
On the computer,
A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the movement of the human body output from a first sensor that detects acceleration during movement of the human body and outputs acceleration data; A change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data during the movement of the human body output from a second sensor that detects angular velocity during the movement of the human body and outputs angular velocity data. The human body detected by the first and second sensors from among a plurality of animation patterns each of which is associated with a set of a plurality of change waveform patterns and defines the movement of the skeleton model. Unit time per unit time of the acceleration vector calculated based on the acceleration data and the angular velocity data during the exercise A set of change waveform patterns that are similar to or coincident with a set of change waveform patterns and a set of change waveform patterns per unit time of the angular velocity vector, and associate them with the extracted set of change waveform patterns Generating an animation by setting the generated animation pattern as the behavior of the skeleton model;
It is characterized by that.

The exercise information generation method according to the present invention includes:
A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the movement of the human body output from a first sensor that detects acceleration during movement of the human body and outputs acceleration data; A change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data during the movement of the human body output from a second sensor that detects angular velocity during the movement of the human body and outputs angular velocity data. The human body detected by the first and second sensors from among a plurality of animation patterns each of which is associated with a set of a plurality of change waveform patterns and defines the movement of the skeleton model. Unit time per unit time of the acceleration vector calculated based on the acceleration data and the angular velocity data during the exercise A set of change waveform patterns that are similar to or coincident with a set of change waveform patterns and a set of change waveform patterns per unit time of the angular velocity vector, and associate them with the extracted set of change waveform patterns Generating an animation by setting the generated animation pattern as the behavior of the skeleton model;
It is characterized by that.

  According to the present invention, the user can easily and accurately grasp the actual running posture during exercise.

1 is a schematic configuration diagram illustrating an embodiment of an exercise information generation system according to the present invention. It is a block diagram which shows one structural example of the chest sensor applied to the exercise information generation system which concerns on one Embodiment. It is a block diagram which shows one structural example of the list coordinator applied to the exercise information generation system which concerns on one Embodiment. It is a block diagram which shows the example of 1 structure of the information terminal applied to the exercise information generation system which concerns on one Embodiment. It is a block diagram which shows one structural example of the server applied to the exercise information generation system which concerns on one Embodiment. It is a flowchart which shows the grasping | ascertainment method of the exercise state in the exercise information generation system which concerns on one Embodiment. It is the schematic which shows the screen display example (the 1) of the exercise information in the exercise information generation system which concerns on one Embodiment. It is the schematic which shows the screen display example (the 2) of the exercise information in the exercise information generation system which concerns on one Embodiment. It is the schematic which shows the screen display example (the 3) of the exercise information in the exercise information generation system which concerns on one Embodiment. It is a flowchart which shows the production | generation method of the animation applied to the exercise | movement information generation system which concerns on one Embodiment. It is a graph which shows an example of the acceleration data and angular velocity data which are collected in the movement information generation system concerning one embodiment. It is a graph which shows an example of the locus | trajectory of the vector synthesize | combined from the acceleration data and angular velocity data which were collected in the exercise | movement information generation system which concerns on one Embodiment, and its transition. It is a conceptual diagram which shows the construction method of the running pattern database applied to the production | generation method of the animation which concerns on one Embodiment. It is a schematic block diagram which shows the modification (the 1) of embodiment of the exercise | movement information generation system which concerns on this invention. It is a schematic block diagram which shows the modification (the 2) of embodiment of the exercise | movement information generation system which concerns on this invention.

Hereinafter, an exercise information generation system, an exercise information generation program, and an exercise information generation method according to the present invention will be described in detail with reference to embodiments. In the following description, a case of running will be described as an example of exercise performed by the user.
(Exercise information generation system)
FIG. 1 is a schematic configuration diagram showing an embodiment of an exercise information generation system according to the present invention. FIG. 2 is a block diagram illustrating a configuration example of a chest sensor applied to the exercise information generation system according to the present embodiment, and FIG. 3 illustrates a list coordinator applied to the exercise information generation system according to the present embodiment. It is a block diagram which shows one structural example. FIG. 4 is a block diagram illustrating a configuration example of an information terminal applied to the exercise information generation system according to the present embodiment. FIG. 5 is a block diagram illustrating a configuration example of a server applied to the exercise information generation system according to the present embodiment.

  As shown in FIGS. 1A to 1C, the exercise information generation system according to the present embodiment is roughly a chest sensor 10 and a list coordinator 20 worn by a user US who is a person to be measured, and a personal computer or the like. The information terminal 30 includes a network 40 such as the Internet connected to the information terminal 30, and a server 50 connected to the network 40.

  The chest sensor 10 is a chest-mounted sensor that detects at least the heart rate and exercise state of the user US during exercise, and is worn by wrapping a belt around the chest of the user US as shown in FIG. Is done. Specifically, for example, as shown in FIG. 2, the chest sensor 10 includes a heartbeat detection circuit 11, an acceleration sensor 12, an angular velocity sensor (gyro sensor) 13, an operation switch 14, a memory 15, and a communication circuit 16. A central processing unit (hereinafter referred to as CPU) 17, a timer circuit 18, and an operating power supply 19.

  The heartbeat detection circuit 11 is provided on the inner surface side of a belt member for mounting the chest sensor 10 on the chest of the user US, for example, and is a pair of electrodes (not shown) arranged so as to be in direct contact with the chest of the user US It is connected to the. The heartbeat detection circuit 11 detects a change in the electrocardiographic signal output from the electrode and outputs heartbeat data (sensor data). The outputted heartbeat data is stored in a heartbeat data storage area of the memory 15, for example.

  The acceleration sensor 12 detects a change (acceleration) per unit time of the operation speed during the exercise of the user US, and outputs acceleration data (sensor data). Further, the angular velocity sensor 13 detects a change per unit time (angular velocity) in the motion direction during the movement of the user US, and outputs angular velocity data (sensor data). The acceleration data measured by the acceleration sensor 12 and the angular velocity data measured by the angular velocity sensor 13 are associated with the heartbeat data detected by the heartbeat detection circuit 11, and the acceleration data storage area of the memory 15 and Each is stored in the angular velocity data storage area.

  The operation switch 14 has at least a power switch, and supplies or shuts off the power supply voltage supplied from the operation power supply 19 to each component to control the power on / off of the chest sensor 10. The memory 15 mainly stores the heart rate data output from the heart rate detection circuit 11 described above, the acceleration data measured by the acceleration sensor 12, and the angular velocity data measured by the angular velocity sensor 13 in association with each other. Have Here, the memory 15 may include a read-only memory (ROM) in which control programs (software) for executing various functions in the heartbeat detection circuit 11, the memory 15, and the communication circuit 16 are stored. The CPU 17 implements various functions of the heartbeat detection circuit 11, the acceleration sensor 12, the angular velocity sensor 13, the memory 15, and the communication circuit 16 by performing processing according to these control programs. These control programs may be incorporated in the CPU 17 in advance. Further, the nonvolatile memory portion constituting the memory 15 may have a removable storage medium such as a memory card and be configured to be detachable from the chest sensor 10.

  The communication circuit 16 is configured to output the heartbeat data output from the heartbeat detection circuit 11, the acceleration data measured by the acceleration sensor 12, the angular velocity data measured by the angular velocity sensor 13, or the heartbeat data and acceleration stored in the memory 15. It functions as an interface when data and angular velocity data are transmitted to the list coordinator 20. Here, as a method of transmitting heart rate data, acceleration data, and angular velocity data to the list coordinator 20 via the communication circuit 16, for example, various wireless communication methods, wired communication methods via communication cables, and the like are applied. Can do.

  In the case of transmitting the above data by wireless communication, for example, Bluetooth (registered trademark), which is a short-range wireless standard specification, is designed as a low power consumption type Bluetooth (registered Bluetooth) (Trademark) low energy; Bluetooth (registered trademark) LE) can be applied satisfactorily. Bluetooth (Registered Trademark) LE is a wireless communication standard that uses a low-frequency radio wave that does not require a license and uses a 2.4 GHz band frequency, just like general Bluetooth (Registered Trademark). It has a feature that data can be transmitted. Therefore, data transmission can be performed satisfactorily, for example, even with a coin-type battery, a button-type battery, and even a small power generated by an energy harvesting technology that has been attracting attention in recent years.

  The CPU 17 executes a predetermined control program based on the basic clock generated in the time measuring circuit 18 and controls each operation in the heartbeat detection circuit 11, the acceleration sensor 12, the angular velocity sensor 13, the memory 15, and the communication circuit 16. The timer circuit 18 generates a basic clock based on the synchronization signal transmitted from the wrist coordinator 20, and generates an operation clock that defines the operation timing of each component of the chest sensor 10 based on the basic clock. Thereby, the chest sensor 10 synchronizes time data with the wrist coordinator 20. Such a synchronization operation is executed with the list coordinator 20 at regular intervals, for example, or constantly. The timer circuit 18 measures the acquisition timing of the heartbeat data, acceleration data, and angular velocity data, and outputs it as time data. This time data is stored in a predetermined storage area of the memory 15 in association with the above-described heartbeat data, acceleration data, and angular velocity data.

  As the operating power source 19, in addition to the above-described coin type battery and button type battery, it is possible to apply a power source based on energy harvesting technology that generates power using energy such as vibration, light, heat, and electromagnetic waves. In addition to the above, the operation power source 19 may be a secondary battery such as a lithium ion battery.

  The wrist coordinator 20 is a wrist-worn or wristband sensor that detects at least the position of the user US during exercise and displays predetermined information and data. As shown in FIG. It is worn by wrapping a band around a US wrist. Specifically, for example, as shown in FIG. 3, the list coordinator 20 includes a GPS receiving circuit 21, a display unit 22, an operation switch 23, a memory 24, a communication circuit 25, a CPU 26, a time measuring circuit 27, Operating power supply 28.

  The GPS receiving circuit 21 receives radio waves from a plurality of GPS (Global Positioning System) satellites, thereby obtaining geographical position information including latitude and longitude, and altitude (elevation) of the position. It detects and outputs data (GPS data; sensor data) related to the position information and altitude information. Further, the GPS receiving circuit 21 detects the moving speed of the user US using the Doppler shift effect of the radio wave from the GPS satellite, and outputs data (GPS data; sensor data) relating to the moving speed. GPS data including the detected position information, altitude, moving speed, and the like is stored in a GPS data storage area of the memory 24, for example.

  The display unit 22 includes a display panel such as a liquid crystal display panel, and is calculated based on time information and GPS data, heartbeat data (sensor data) transmitted from the chest sensor 10 described above, acceleration data, and angular velocity data. Various information, for example, calorie consumption calculated from acceleration data and weight data of the user US is displayed. These pieces of information may be those in which a plurality of pieces of information are simultaneously displayed on the display panel, or one to a plurality of pieces of information may be sequentially displayed by operating the operation switch 23.

  The operation switch 23 has at least a mode change switch and a display change switch. By operating the mode switch, for example, various information during exercise (time information such as stopwatch, sensor data such as heartbeat data and GPS data described above, calories burned calculated based on the sensor data, etc.) And a menu display mode for displaying a menu screen for performing various settings in the list coordinator 20 (for example, time adjustment, communication method selection, etc.) are controlled to be switched. Further, the screen display in each mode can be switched by operating the display changeover switch.

  The memory 24 mainly includes a nonvolatile memory that stores the heart rate data, acceleration data, angular velocity data, and GPS data detected by the GPS receiving circuit 21 transmitted from the chest sensor 10 in association with each other. Here, the memory 24 includes a read-only memory (ROM) in which control programs (software) for executing various functions in the GPS receiving circuit 21, the display unit 22, the memory 24, and the communication circuit 25 are stored. May be. The CPU 26 performs various functions of the GPS receiving circuit 21, the display unit 22, the memory 24, and the communication circuit 25 by performing processing according to these control programs. These control programs may be incorporated in the CPU 26 in advance. Further, the nonvolatile memory portion constituting the memory 24 may have a removable storage medium such as a memory card and be configured to be detachable from the list coordinator 20.

  The communication circuit 25 functions as an interface for transmitting at least various sensor data between the chest sensor 10 and the information terminal 30. The communication circuit 25 receives heartbeat data, acceleration data, and angular velocity data from the chest sensor 10 using the above-described wireless communication method and wired communication method, and chests a synchronization signal based on the basic clock generated by the time measuring circuit 27. It transmits to the sensor 10. The communication circuit 25 receives the heartbeat data, acceleration data, angular velocity data, and GPS data transmitted from the chest sensor 10 and stored in the memory 24, and the GPS data detected by the GPS receiving circuit 21 and stored in the memory 24. Transmit to the terminal 30. Here, as a method of transmitting various sensor data such as heart rate data, acceleration data, angular velocity data, and GPS data to the information terminal 30 via the communication circuit 25, for example, various wireless communication methods, wired communication methods, and memory cards are used. A data transfer method or the like can be applied.

  When transmitting the various sensor data to the information terminal 30 and using a wireless communication method, for example, Bluetooth communication, infrared communication, or the like can be favorably applied. When the wired communication method is used, the wrist coordinator 20 and the information terminal 30 may be directly connected by a communication cable. For example, as shown in FIG. The wrist coordinator 20 may be mounted on or placed on the data transfer dock DK or pad. Here, the data transfer dock DK and the pad may apply a contact type data transfer method in which the wrist coordinator 20 and the electrodes are electrically connected by direct contact, or the electrodes may be connected to each other. A non-contact type data transfer system that is electrically connected without direct contact may be applied. When the wired communication method is used, the wrist coordinator 20 is connected to the information terminal 30 via a communication cable or via a data transfer dock DK or pad, so that power is received from the information terminal 30. It is preferable that the operating power supply 28 of the wrist coordinator 20 is charged.

  The CPU 26 executes a predetermined control program based on the basic clock generated in the time measuring circuit 27 and controls each operation in the GPS receiving circuit 21, the display unit 22, the memory 24, and the communication circuit 25. The timer circuit 27 includes an oscillator that generates a basic clock. Based on the basic clock, the timer circuit 27 generates an operation clock that defines the operation timing of each component of the wrist coordinator 20, and synchronizes time data with the chest sensor 10. A synchronization signal for generating The time counting circuit 27 measures the acquisition timing of the GPS data and outputs it as time data. This time data is stored in a predetermined storage area of the memory 24 in association with time data associated with the heartbeat data, acceleration data, and angular velocity data transmitted from the chest sensor 10 described above.

  As the operation power supply 28, a coin-type battery, a button-type battery, a power supply based on the above-described energy harvesting technology, or a secondary battery such as a lithium ion battery can be applied. In addition, as described above, when the operation power supply 28 of the list coordinator 20 is charged by connecting the list coordinator 20 to the information terminal 30, a secondary battery is applied as the operation power supply 28. Needless to say, it has been done.

  The information terminal 30 is a notebook-type, desktop-type, or tablet-type personal computer that is connected to a network such as the Internet and has a web browser as browsing software incorporated therein, as shown in FIG. The input operation unit and the display unit are provided so that the user US can perform operations and browse information. Specifically, as shown in FIG. 4, for example, the information terminal 30 includes an input operation unit 31, a display unit 32, a memory 33, a communication circuit 34, and a CPU (display processing unit, specific information generation processing unit). 35, a clock circuit 36, and an operating power source 37.

  The input operation unit 31 has an input device such as a keyboard, a mouse, a touch pad, and a touch panel, and an arbitrary icon or menu on the screen displayed on the display unit 32 is selected or an arbitrary position is operated by the user US. Is instructed. The display unit 32 includes a display panel such as a liquid crystal display panel and a monitor, and displays various sensor data detected by the chest sensor 10 and the list coordinator 20 described above and specific information generated by processing the sensor data. Display in the form of graphs, maps, animations, etc. Various sensor data and specific information displayed on the display unit 32 will be described later in detail.

  The memory 33 mainly includes a data memory that stores the heartbeat data, acceleration data, angular velocity data, and GPS data transmitted from the list coordinator 20 in association with each other, and various types of data in the display unit 32, the memory 33, and the communication circuit 34. It has a program memory in which a control program (software) for executing functions is stored. The CPU 35 performs various functions of the display unit 32, the memory 33, and the communication circuit 34 by performing processing according to these control programs.

  The communication circuit 34 functions as an interface for transmitting various sensor data and specific processed information between the list coordinator 20 and the server 50 connected to the network 40. As shown in FIG. 1B, the communication circuit 34 uses the wireless communication method, the wired communication method, and the data transfer method via a memory card, as described above, from the list coordinator 20 to heart rate data, acceleration data, angular velocity data, Receive GPS data. As shown in FIG. 1C, the communication circuit 34 transmits various sensor data such as heartbeat data, acceleration data, angular velocity data, and GPS data transmitted from the list coordinator 20 and stored in the memory 33 to the network 40. Is transmitted (uploaded) to the server 50 via. Here, as a connection method to the network 40 for transmitting various sensor data to the server 50 via the communication circuit 34, for example, the network 40 via an optical fiber line network, an ADSL (asymmetric digital subscriber) line network, or the like. It is possible to apply a wired connection method for connecting to a wireless connection method or a wireless connection method for connecting via a mobile phone network or a high-speed mobile communication network.

  The CPU 35 executes a predetermined control program based on the basic clock generated in the time measuring circuit 36, and controls each operation in the display unit 32, the memory 33, and the communication circuit 34. The timer circuit 36 includes an oscillator that generates a basic clock, and generates an operation clock that defines the operation timing of each component of the information terminal 30 based on the basic clock.

  The operating power source 37 is a secondary battery such as a lithium ion battery or a commercial AC power source in a notebook or tablet personal computer. A commercial AC power supply is applied to a desktop personal computer.

The network 40 may be the Internet or a wireless LAN (Local Area
Network) or a local network such as a wired LAN.

  The server 50 is an application server that is connected to a network such as the Internet and includes, for example, a travel pattern database 58 described later. The server 50 includes an input operation unit 51 and a display unit 52 so that an operator can operate and view information. I have. Further, as shown in FIG. 1C, the server 50 stores various sensor data transmitted from the information terminal 30 via the network 40, and processes the sensor data to generate specific information. . Further, the server 50 specifically includes an input operation unit 51, a display unit 52, a memory 53, a communication circuit 54, a CPU (specific information generation processing unit) 55, as shown in FIG. A timer circuit 56, an operating power source 57, and a running pattern database 58 are provided.

  The input operation unit 51 includes input devices such as a keyboard, a mouse, a touch pad, and a touch panel, and an arbitrary icon or menu on the screen displayed on the display unit 52 is selected or an arbitrary position is operated by an operator. Is instructed. The display unit 52 includes a display panel such as a liquid crystal display panel and a monitor, and displays information related to various operations of the server 50.

  The memory 53 mainly performs various functions in the display unit 52, the memory 53, and the communication circuit 54, and a data memory for storing various sensor data transmitted from the information terminal 30 and the specific information processed. A program memory in which a control program (software) is stored. The CPU 55 performs various functions of the display unit 52, the memory 53, and the communication circuit 54 by performing processing according to these control programs.

  The communication circuit 54 functions as an interface for transmitting various sensor data and processed specific information with the mobile terminal 30 connected to the network 40. As shown in FIG. 1C, the communication circuit 54 uses a wireless communication method, a wired communication method, and a data transfer method via a memory card to perform various sensor data and specific information processed by the mobile terminal 30. Receive.

  The CPU 55 executes a predetermined control program based on the basic clock generated in the time measuring circuit 56, and controls each operation in the display unit 52, the memory 53, and the communication circuit 54. The timer circuit 56 includes an oscillator that generates a basic clock, and generates an operation clock that defines the operation timing of each component of the server 50 based on the basic clock.

  As the operating power source 57, a commercial AC power source is applied. Various sensor data and specific information provided from the database server 50 are provided in a format that can be displayed in a graph, map, animation, or the like in a web browser incorporated in the information terminal 30.

(Exercise information generation method)
Next, an exercise information generation method in the above-described exercise information generation system will be described. As will be described in detail below, in the information terminal 30, the calendar and various specific information regarding running displayed on the display unit 32 of the information terminal 30 by accessing the server 50 are collectively referred to as exercise information here for convenience. .

  FIG. 6 is a flowchart showing a method for generating exercise information in the exercise information generating system according to the present embodiment. Here, description will be made with reference to the configurations shown in FIGS.

  In the exercise information generation system according to the present embodiment, as shown in the flowchart of FIG. 6, first, various sensor data indicating the biological information and exercise state of the user US during exercise are collected (S101). Specifically, as shown in FIGS. 1A and 2, heart rate data, acceleration data, and angular velocity data during running are collected by the chest sensor 10 worn by the user US and associated with time data. It is stored in the memory 15. These heartbeat data, acceleration data, and angular velocity data are transmitted to the list coordinator 20 via the communication circuit 16, for example, by a wireless communication method, at regular intervals or at regular time intervals. On the other hand, as shown in FIGS. 1A and 3, GPS data including position information, altitude data, moving speed data, etc. during running is collected by the list coordinator 20 worn by the user US, and time data is collected. And stored in the memory 24. Here, sensor data such as heartbeat data, acceleration data, angular velocity data, and GPS data collected during exercise, or various types of information calculated based on these sensor data can be arbitrarily displayed on the display panel of the list coordinator 20. Displayed in form.

  Next, after the exercise is completed, the collected various sensor data is transmitted to the information terminal 30 (S102). Specifically, as shown in FIGS. 1B and 4, sensor data such as heartbeat data, acceleration data, angular velocity data, and GPS data stored in the memory 24 of the list coordinator 20 is transmitted to the communication circuit 25. Then, the data is transmitted to the information terminal 30 such as a personal computer by a wireless communication method, a wired communication method, or a data transfer method using a memory card. These sensor data are stored in the memory 33 in association with the time data.

  Subsequently, the various sensor data preserve | saved at the information terminal 30 are uploaded to the server 50 via the network 40 (S103). Specifically, as shown in FIGS. 1C and 4, various sensor data stored in the memory 33 of the information terminal 30 are transmitted to the server 50 connected to the network 40 via the communication circuit 34. Uploaded. Here, uploading of various sensor data from the information terminal 30 to the server 50 may be performed, for example, by starting a web browser on the information terminal 30 connected to the network 40 and accessing the server 50. Alternatively, the data may be uploaded using upload-only software. These sensor data are stored in the memory in the server 50 in association with the time data.

  Next, in the server 50, based on various sensor data uploaded from the information terminal 30, predetermined processing is executed to generate specific information (S104). Specifically, based on the altitude data and the moving speed data included in the heart rate data and GPS data uploaded from the information terminal 30, and the time data associated with these data, the heart rate data (third data) Information), and specific information that graphs temporal changes in travel speed (fourth information) as an exercise state and altitude (fifth information) of the travel point. Further, based on the acceleration data, the time data associated with the data, and the weight data of the user US, specific information that graphs the time change of the calorie consumption (sixth information) is generated. Further, based on the position information included in the GPS data and the time data associated with the data, specific information that is map information (second information) obtained by superimposing the travel point (that is, the running route) on the map data is obtained. Generate. Furthermore, based on the acceleration data and the angular velocity data, and the time data associated with these data, an animation defined by a skeleton model that reflects the movement state of the user US such as the running posture, arm swing, and stride (first step). 1 information) is generated. These specific information is stored in a memory in the server 50 for each date and time when running, for example. Note that the processing for generating the specific information based on the various sensor data is executed by specific software incorporated in the memory 53 or the CPU 55 of the server 50 shown in FIG. Note that the processing for generating the specific information may be executed by specific software incorporated in the memory 33 or the CPU 35 of the information terminal 30.

  Next, when the user US accesses the server 50 from the information terminal 30 via the network 40, the specific information for each date and time of running is displayed on the display unit 32 of the information terminal 30 and viewed (S105). . Specifically, when the user US starts a web browser on the information terminal 30 connected to the network 40 and accesses the server 50 via the web browser, the date and time of running is displayed in a calendar format. The When the user US operates the mouse, the touch panel, or the like of the information terminal 30 and selects an arbitrary date in the displayed calendar, specific information for running on the date is displayed in conjunction with the user US. In addition to the specific information, various sensor data in the running may be additionally displayed. Further, in the displayed specific information, the user US indicates an arbitrary point in the map information indicating the running route or an arbitrary time in the graph by using the mouse pointer, the touch panel, etc. Specific information is displayed in conjunction.

Next, the exercise information display method applied to the above-described exercise information generation system will be described in more detail.
7 to 9 are schematic diagrams illustrating examples of screen display of exercise information in the exercise information generation system according to the present embodiment.

  As described above, the user US activates a web browser in the information terminal 30 connected to the network 40 and accesses the server 50, thereby displaying exercise information related to running in the past on the display unit 32 of the information terminal 30. You can display and browse. On the display unit 32 of the information terminal 30, for example, as shown in FIG. 7, a title (eg, “training diary”) is displayed in the upper part of the page screen 110 of the web browser 100, and the calendar 111, the map information 112, the animation is displayed in the middle part. 113 is displayed, and a graph 114 indicating the time change of the heartbeat data, a graph 115 indicating the time change of the calorie consumption, a graph 116 indicating the time change of the running speed, and a graph 117 showing the time change of the altitude of the running point are displayed in the lower part. Is done. It should be noted that the type and number of exercise information displayed on the page screen 110, the display position, and the like are merely examples that can be applied to the present invention, and are not limited at all. That is, not only the above four types of graphs 114 to 117 but also any information such as blood pressure, body temperature, weather data, physical condition memo, etc. on the date of running is displayed together with or instead of these. You may do.

  The calendar 111 is displayed, for example, on the left side of the middle part of the page screen 110, and a mark is displayed on the date of running and a travel distance and a required time are displayed. These pieces of information specify the running date based on the position information included in the GPS data transmitted from the list coordinator 20 and the time data associated with the data, and the running distance in the running. The required time is calculated.

  The map information 112 is displayed, for example, in the middle center of the page screen 110, and is displayed with the running route superimposed on the map data available on the network 40 such as the Internet. FIG. 7 shows a route RT when the vehicle travels in the direction of the black arrow and returns to the point Pst again with the point Pst in the map information 112 as a start point as an example. Here, as the map data, for example, the map data available on the Internet, such as Google Map map service provided by Google (registered trademark) on the Internet, may be used. The map data marketed in such a form may be taken into the memory 33 of the information terminal 30 and used.

  The animation 113 is displayed on the right side of the middle of the page screen 110, for example, and the running state of the user US during running, arm swing, stride, and other exercise states on the running route displayed in the map information 112, It is reproduced and displayed as an animation defined by the skeleton model in conjunction with time data indicating the time corresponding to the point. In FIG. 7, for the sake of illustration, a skeleton model in a stationary state at a specific time is shown. As will be described later, by generating animation using data for several steps of running, exercise during running The state is displayed in the form of animation (moving image). FIG. 7 shows, as an example, a case in which an animation representing a human body is displayed on the screen 110 using only a skeleton that is a combination of a plurality of straight lines or curves. An animation representing the human body may be displayed in a fleshed state, or an animation representing a human body may be displayed only in a fleshed state without displaying a skeleton. That is, the display form of the animation is not limited to the above-described form, as long as it is a form that can reproduce and display the user US's actual running posture, arm swing, stride, and other motion states.

  For example, the graphs 114 to 117 of the heart rate data, calories burned, running speed, and altitude of the running point are displayed side by side from the lower left side to the right side of the page screen 110, for example, on the running route displayed in the map information 112 described above. In conjunction with the location and time data, heart rate data, calorie consumption, travel speed, and time change in altitude of the travel location are displayed in the form of a line graph.

  In FIG. 7, 101 is an icon for adjusting the display size of the web browser and operating an end command, 102 is a network address display area, 103 is a menu icon display area, and 104 is a network. A search input area 105 is a tab display area for switching the page screen.

In the exercise information screen display as described above, the user US can further grasp the exercise state during running by performing the following operation.
First, as shown in FIG. 7, from the calendar 111 displayed on the page screen 110 of the web browser 100, the date and time of running are recognized from the presence or absence of a mark display or the like, and an arbitrary date is indicated by a mouse pointer or a touch panel. Etc. (or select). By this operation, exercise information of the date is provided from the server 50, and graphs 114 to 114 showing the time change of map information 112, animation 113, heartbeat data, calorie consumption, travel speed, and altitude of the travel point on the page screen 110. 117 is updated and displayed. For example, as shown in FIG. 7, for example, the date indicated by the calendar 111 is preferably displayed in a colored or highlighted manner or the display color of the mark is changed so that the date can be easily recognized by the user US. .

  Next, the user US operates the mouse, the touch panel, etc. of the information terminal 30 to indicate an arbitrary point of the running route RT displayed in the map information 112 with the pointer P10 as shown in FIGS. . By this operation, exercise information based on the time data associated with the position information of the running route RT is provided from the server 50, and the animation 113 is updated and displayed. In other words, the animation 113 reproduces and displays the actual running posture, arm swing, stride length, and other motion states of the user US based on the sensor data collected at the point indicated by the pointer P10 in the map information 112. . For example, in FIG. 7, the point immediately after starting from the start point Pst is indicated by the pointer P10, and for example, the upper body of the user US is raised, the swing of the arm is large, and the exercise state is also high in the way of raising the leg. A page screen 110 on which an animation 113 is displayed is shown. In FIG. 8, a point where 10 minutes or more have passed since the departure from the start point Pst is indicated by the pointer P10. For example, the upper body of the user US is slightly warped, and the swing of the arm is slightly small. A page screen 110 on which an animation 113 in which an exercise state in which a leg is lifted is also displayed is displayed. Further, in FIG. 9, a point just before the goal is indicated by the pointer P10. For example, an animation 113 in which the upper body of the user US is tilted forward, the swing of the arm is small, and the motion state is low is also reproduced. The page screen 110 on which is displayed is shown.

  In addition, by the above operation, time data associated with the position information of the running route RT is provided from the server 50, and graphs 114 to 114 showing the time change of heart rate data, calorie consumption, travel speed, and altitude of the travel point. The position of a line graph at 117 corresponding time is displayed by pointers P11 to P14, markers, and the like. In addition, the numerical value of the line graph may be additionally displayed together with the position of the line graph by the pointers P11 to P14 and the like.

Further, the user US can also grasp the exercise state during running by performing the following operation.
That is, as shown in FIGS. 7 to 9, the page screen 110 shows time-dependent changes in the map information 112, animation 113, heart rate data, calorie consumption, travel speed, and altitude of the travel point on the calendar 111 on an arbitrary date. In the graphs 114 to 117, the user US operates the mouse or the touch panel of the information terminal 30 in a state where the graphs 114 to 117 are displayed, and the graphs 114 to 117 each show changes over time in heart rate data, calorie consumption, travel speed, and altitude of the travel point. An arbitrary position on the line graph or a time position is indicated by pointers P11 to P14, a marker, or the like. By this operation, position information based on the time data associated with the line graph is provided from the server 50, and the pointer P10 is displayed at the corresponding position in the map information 112. Also, through the above operation, exercise information based on the time data associated with the line graph is provided from the server 50, and the animation 113 is updated and displayed.

Furthermore, the user US can also grasp the exercise state during running as follows.
That is, when the user US operates the mouse or touch panel of the information terminal 30, the map information 112, the animation 113, the heart rate data, the calorie consumption, the travel speed, and the altitude of the travel point on the calendar screen 111 are displayed on the page screen 110. In the state where the graphs 114 to 117 showing the respective time changes are displayed, the map information 112 is automatically or in accordance with the passage of time for the entire running route RT by appropriately instructing the menu icon of the web browser 100. The pointer P10 and the pointers P11 to P14 and the markers in the graphs 114 to 117 showing the temporal changes in the heart pointer data P10, heartbeat data, calorie consumption, travel speed, and altitude of the travel point are continuously displayed. At this time, according to the movement of the pointers P10, P11 to P14, exercise information based on the corresponding time data is provided from the server 50, and the animation 113 is automatically updated and displayed. In addition, it is preferable that the movement display of the pointers P10 and P11 to P14 and the update display of the animation 113 are executed by appropriately reducing the actual time of the time data. In this case, an animation may be displayed so that the pointer P10 moves on the running route RT at a constant speed, or the pointer P10 moves on the running route RT at a speed proportional to the actual traveling speed. An animation may be displayed so as to move. In any case, information corresponding to the position indicated by the pointer P10 is provided from the server 50 in response to an instruction from the pointer P10. However, by specifying an arbitrary date using the pointer P10, the date All the information associated with the information may be provided from the server 50 at a time.

  Thus, in this embodiment, various sensor data are collected during the running of the user US, and specific information generated based on the sensor data is displayed on the web browser of the information terminal. In particular, in the present embodiment, as specific information, map information in which exercise paths are superimposed, animation reflecting a motion state such as a motion posture of the user US or movement of the upper and lower limbs, heart rate data, calorie consumption, movement speed, A graph showing each time change of the altitude of the exercise position is displayed on one screen (page screen) in conjunction with each other based on the position on the exercise path and the elapsed time.

  Therefore, the user US can easily and accurately grasp various kinds of specific information at the time of running through the information terminal 30 while interlocking with each other. In particular, since the actual exercise posture during running and the movement of the upper and lower limbs are reproduced and displayed by animation, the user US can grasp what kind of exercise posture at which point on the running route, and whether the exercise posture is good or bad Can be easily determined, and the characteristics and habits during exercise can be easily grasped, and can be sufficiently reflected in the subsequent exercise method and the like.

  Further, in the server 50 connected to the network 40, specific information is generated based on the sensor data uploaded from the information terminal 30, and specific information linked to each other is provided in response to a request from the information terminal 30. Therefore, the information terminal 30 only needs to have a configuration in which the web browser 100 is incorporated, and includes hardware and software related to generation processing of specific information. Therefore, it is possible to realize an exercise information generation system with a simple configuration.

(Animation generation method)
Next, an animation generation method (specific information generation method) applied to the above-described motion information generation system will be described.

  FIG. 10 is a flowchart showing an animation generation method applied to the exercise information generation system according to this embodiment. FIG. 11 is a graph showing an example of acceleration data and angular velocity data collected in the motion information generation system according to the present embodiment, and FIG. 12 shows acceleration collected in the motion information generation system according to the present embodiment. It is a graph which shows an example of the vector synthesize | combined from data and angular velocity data, and the locus | trajectory of the transition.

  In the animation generation method applied to the exercise information generation system according to the present embodiment, first, as shown in the flowchart of FIG. 10, first, acceleration per unit time based on various sensor data uploaded from the information terminal 30. A vector change waveform is calculated (S201). Specifically, the acceleration sensor 12 provided in the chest sensor 10 causes the body (upper body) of the user US during running to move in the left-right direction (lateral direction) as shown in FIG. X-axis direction component representing speed change per unit time, y-axis direction component representing speed change per unit time in the vertical direction (vertical direction), and z-axis representing speed change per unit time in the front-rear direction Acceleration data consisting of direction components is acquired. In other words, the motion of the user US is detected by the acceleration sensor 12 in the left-right, up-down, and front-back directions. In FIG. 11A, data in a specific time range (for example, 284 seconds to 290 seconds) is extracted from changes in acceleration in the x-axis direction, the y-axis direction, and the z-axis direction acquired as acceleration data. It is a thing.

  As shown in FIG. 12A, acceleration data at a specific time can be represented as a three-dimensional acceleration vector (x1, y1, z1) obtained by synthesizing the acceleration components in the above three directions. Then, as shown in FIG. 12B, a trajectory (change waveform) TVA of the acceleration vector within a predetermined period is calculated and accumulated in a time series as travel data.

  Next, a change waveform of the angular velocity vector is calculated based on various sensor data uploaded from the information terminal 30 (S202). Specifically, the angular velocity sensor 13 provided in the chest sensor 10 causes the body (upper body) of the user US during running to move in the left-right direction (lateral direction) as shown in FIG. X-axis direction component representing angle change per unit time, y-axis direction component representing angle change per unit time in the vertical direction (vertical direction), and z-axis representing angle change per unit time in the front-rear direction Obtain angular velocity data consisting of direction components. That is, the motion relating to the change per unit time in the torsional direction and the body direction in the motion state of the user US is detected by the angular velocity sensor 13. In FIG. 11B, data in a specific time range (for example, 284 seconds to 290 seconds) is extracted from changes in angular velocity in the x-axis direction, y-axis direction, and z-axis direction acquired as angular velocity data. It is a thing.

  As shown in FIG. 12C, the angular velocity data at a specific time can be expressed as a three-dimensional angular velocity vector (x2, y2, z2) obtained by synthesizing the above three-direction angular velocity components. Then, as shown in FIG. 12 (d), a trajectory (change waveform) TVB of the angular velocity vector within a predetermined period is calculated and accumulated as travel data in time series. Here, as the predetermined cycle used when extracting the above-described acceleration vector transition locus TVA and angular velocity vector transition locus TVB, as shown in FIGS. 11A and 11B, for example. The continuous left and right leg movements during running are set as a set, and the time range for the set is set.

  Next, an animation pattern associated with a pattern that is similar to or coincides with a set of a pair of change waveform patterns of the acquired acceleration vector and angular velocity vector is stored in a running pattern database (running pattern DB; details will be described later) 58. One or more of the plurality of animation patterns are extracted (S203). Here, as a method of extracting a pattern that is similar or coincident with a set of a pair of change waveform patterns of an acceleration vector and an angular velocity vector, for example, paying attention to a specific pattern that is a feature of the change waveform, the pattern is It is possible to apply a so-called pattern matching method that specifies whether or not to appear and at which timing it appears, and extracts similar patterns by comparing with patterns of a plurality of samples stored in the database. .

  Next, when a plurality of animation patterns are extracted from the running pattern database 58, the plurality of animation patterns are combined and set as the operation of the skeleton model (S204). If there is only one animation pattern extracted from the running pattern database 58, the animation pattern is set as it is as the skeleton model operation. As a result, the skeleton model can be operated with an operation pattern corresponding to a set of a pair of change waveform patterns of an acceleration vector and an angular velocity vector, that is, a motion reflecting the actual motion state of the user US. Such animation pattern synthesis data is generated and accumulated in time series for each unit time described above.

  Next, the corresponding position in the map information 112 when the animation is displayed is extracted from the map database (map DB) (S205). Specifically, when the animation 113 is displayed on the display unit 32 of the information terminal 30, the display position data is extracted from the map database so that the travel point is displayed in the map information 112 correspondingly. .

  Then, the animation data obtained by operating the skeleton model based on the composite data is provided to the information terminal 30 via the network 40 together with the display position data, so that the web browser 100 of the information terminal 30 As shown in FIGS. 7 to 9, the pointer P10 in the map information 112 and the positions of the pointers P11 to P14 in the graphs 114 to 117 showing the temporal changes in heart rate data, calorie consumption, travel speed, and altitude of the travel point. The animation 113 is updated and displayed in conjunction with the movement (S206). In the present embodiment, the above-described animation generation process is performed by the CPU 55 of the server 50. In this case, the CPU 55 of the server 50 functions as a specific information processing unit.

(Driving pattern database)
Next, the traveling pattern database 58 applied to the exercise information generation system according to the present embodiment will be described.
FIG. 13 is a conceptual diagram showing a construction method of the running pattern database 58 applied to the animation generation method according to the present embodiment.

  The running pattern database 58 applied to the animation generation method according to the present embodiment includes an acceleration vector synthesized from acceleration data and angular velocity data collected during actual running, and a change waveform of the angular velocity vector per unit time. A set of patterns and an animation pattern that defines the movement of the skeleton model are registered in association with each other.

  The construction method of such a running pattern database 58 is as follows. First, for example, about a few hundred people are sampled and actually run with the chest sensor equipped with the acceleration sensor and the angular velocity sensor described above. Collect angular velocity data in time series. At this time, the image data is collected by actually photographing the running state, the swinging arm, the stride, and the like during running. Next, a change waveform within a predetermined period of the acceleration vector and the angular velocity vector synthesized from the collected acceleration data and angular velocity data is calculated, and a set of these pairs of change waveform patterns, an image of the actual motion state, and Associate. Then, by making the actual motion state correspond to the movement of the skeleton model as it is, a set of a pair of change waveform patterns of the acceleration vector and the angular velocity vector acquired during the running and the animation pattern of the skeleton model are 1: 1. The animation patterns are associated and stored in the running pattern database 58 in a relationship or in a many-to-one relationship. Here, the animation pattern stored in the running pattern database 58 may correspond to the motion state of the entire body, or only specific parts such as arms and legs are extracted and correspond to the movement. It may be a thing.

  By repeating such processing for each sample, a plurality of animation patterns corresponding to the movement state of the whole body for the number of samples (for example, for several hundred people) and the movement of a specific part are generated, and the running pattern database 58 Accumulated in. FIG. 13 (a) shows an example of the movement (type of running posture) of a specific part associated with a set of a pair of change waveform patterns of an acceleration vector and an angular velocity vector. These types of travel postures are encoded and stored in the travel pattern database 58.

  For example, as shown in FIG. 13 (a), the left / right inclination of the body during running (code 001, 002), the forward / backward inclination of the body (code 003, 004), the stride width (code 005, 006), The swing (code 007, 008), the torsion of the body (code 009, 010), the walking speed / pitch (code 011, 012), etc. are coded and stored. In FIG. 13 (a), only the movement of the specific part is shown. However, the movement state of the whole body obtained from the sample and the above-mentioned movement of the specific part are appropriately synthesized. Coded and saved. Thereby, based on the code | cord | chord preserve | saved at the running pattern database 58, as shown to FIG.13 (b)-(g), the animation pattern of a skeleton model is prescribed | regulated.

  Therefore, the traveling pattern database 58 associates a similar or matching pattern with a pattern composed of a pair of change patterns of acceleration vectors and angular velocity vectors calculated from the acceleration data and angular velocity data collected by the user US during running. The obtained animation pattern is extracted. As the number of samples for obtaining the animation pattern stored in the running pattern database 58 increases, an animation in which the actual running posture is reflected (or more approximate) can be generated.

  Thus, in this embodiment, based on the acceleration data and the angular velocity data collected during the running of the user US, an animation reflecting the motion state such as the actual motion posture of the user US and the movement of the upper and lower limbs is generated. It is generated and displayed on the display unit 32 of the information terminal 30. In particular, in the present embodiment, the generated animation is interlinked with a graph showing other specific information such as map information, heart rate data, calories burned, moving speed, and altitude of the exercise position. Displayed.

  Therefore, the user US can visually recognize the animation reflecting the actual exercise posture during the running, the movement of the upper and lower limbs, and the like via the information terminal 30, and in conjunction with the animation, Specific information can be grasped easily and accurately. Thereby, the user US can easily grasp the change of the exercise posture on the running route, the judgment of the quality, the characteristics, the habit, and the like, and can reflect them in the subsequent exercise method and the like.

(Modification)
Next, modifications of the embodiment of the exercise information generation system, the exercise information generation program, and the exercise information generation method according to the present invention will be described.
The exercise information generation system, the exercise information generation program, and the exercise information generation method according to the present invention are not limited to the above-described embodiments, and may have, for example, the following modifications.

  FIG. 14: is a schematic block diagram which shows the modification (the 1) of embodiment of the exercise | movement information generation system which concerns on this invention. Here, components equivalent to those in the above-described embodiment will be described with the same reference numerals.

  In the above-described embodiment, a case where a notebook type or desktop type personal computer is applied as the information terminal 30 has been described. However, in the present invention, for example, as shown in FIG. A device that can be connected to the network 40, such as 30A, a high-function mobile phone (so-called smartphone) 30B, a personal digital assistant (PDA), or a dedicated terminal, may be applied. In particular, when a mobile phone 30A or a smartphone 30B is applied, a function for connecting to the network 40 is already provided. Therefore, the acquired sensor data can be easily transmitted via the network 40 regardless of the location within a communicable range. Can be uploaded to the server 50. Further, by using the mobile phone 30A or the smartphone 30B in which the web browser is installed, the specific information processed in the server 50 can be displayed and browsed easily regardless of the location as long as it is within a communicable range.

  FIG. 15: is a schematic block diagram which shows the modification (the 2) of embodiment of the exercise | movement information generation system which concerns on this invention. Here, about the structure equivalent to embodiment mentioned above or a modification, the same code | symbol is attached | subjected and demonstrated.

  In the above-described embodiments and modifications, various types of sensor data are uploaded to the server 50 connected to the network 40 via the information terminal 30, and the server 50 processes the sensor data to generate specific information. A so-called cloud computing type system is shown in which various sensor data and specific information are provided to the information terminal 30 via the network 40 in response to a request from the information terminal 30. In the present invention, for example, FIG. As shown in FIG. 15, the information terminal 30 applies a so-called stand-alone system that stores various sensor data, processes the sensor data, generates specific information, and displays the specific information on the display unit 32. There may be. In this case, the CPU 35 of the information terminal 30 functions as a specific information processing unit. Note that the information terminal 30 may be a mobile phone 30A, a smartphone 30B, or the like, as in the above-described modification. In this case, the information terminal 30, the mobile phone 30A, the smartphone 30B, and the like incorporate at least an application program that processes sensor data to generate specific information and a browser for displaying the specific information. It is necessary to have a storage unit corresponding to. Needless to say, the information terminal 30 and the storage unit corresponding to the database may be connected to each other by wire such as a USB cable or wirelessly such as Bluetooth slow energy.

  In addition, in embodiment mentioned above, although FIGS. 7-9 was shown as a screen display example of exercise information, this invention is not limited to this. For example, the display color of the running route RT superimposed on the map information 112 displayed on the page screen 110 of the web browser 100 may be changed according to the traveling speed of the user US. .

  In the embodiment and the modification described above, the chest sensor 10 attached to the chest includes the heart rate detection circuit 11, the acceleration sensor 12, and the angular velocity sensor 13, and the wrist coordinator 20 attached to the wrist includes the GPS reception circuit 21. Although the configuration provided is shown, the present invention is not limited to this. The present invention is not limited as long as various sensors for generating various sensor data and specific information displayed on the display unit 32 of the information terminal 30 are mounted at appropriate positions. For example, it is preferable that an acceleration sensor or an angular velocity sensor for generating an animation indicating the motion state of the user US is attached at a position corresponding to the trunk of the upper body such as the neck, chest, and abdomen. According to this, it is possible to accurately grasp the exercise state such as the exercise posture of the user US and the movement of the upper and lower limbs. In this case, the heart rate sensor including the heart rate detection circuit does not need to be mounted at the same position as the acceleration sensor or the angular velocity sensor, and may be incorporated in the wrist coordinator 20, for example. Here, the tendency of the acceleration data and angular velocity data output according to the mounting position of the acceleration sensor and angular velocity sensor is different, and the synthesized acceleration vector and angular velocity vector are also different from those in the above-described embodiment. It is necessary to reconstruct the travel pattern database 58 according to the mounting position of the vehicle.

  In the above-described embodiment, the user US himself / herself determines the quality of the biological information and the exercise state based on the acquired various sensor data and the specific information such as the graph and animation animation generated thereby. However, the present invention is not limited to this. For example, the present invention verifies various sensor data uploaded to a server, generated graphs and animations by an expert in exercise guidance and health care, and provides analysis results and appropriate advice to an information terminal to a user. It may be useful for US exercise planning and health management.

  In the above-described embodiment, running has been described as an example of the exercise that is the subject of the present invention. However, the present invention is not limited to this, and various exercises such as walking, cycling, trekking, and mountain climbing are possible. Can be applied to exercise.

  In the above-described embodiment, the case where the processed specific information is displayed and browsed using a web browser is exemplified. However, the present invention is not limited thereto, and a dedicated application is used. You may make it display and browse these specific information.

  Further, in the above-described embodiment, the various sensor data generated and output based on the detection signal from the chest sensor 10 is illustrated as being transmitted to the mobile terminal 30 once through the list coordinator 20. However, the present invention is not limited to this, and various sensor data output from the chest sensor 10 may be directly transmitted to the mobile terminal 30. In this case, the communication circuit 34 of the information terminal 30 may function as an interface when transmitting various sensor data and processed specific information to and from the chest sensor 10.

  In the above-described embodiment, a case where heart rate data as biological information, travel speed as an exercise state, altitude at a travel point, and time change of calorie consumption are graphed is generated as specific information. However, the present invention is not limited to this, and the data itself at each time may be specified information, and the numerical value may be displayed, or a meter or the like indicating a scale corresponding to the numerical value may be displayed. Such a display method is effective, for example, when the size of a screen for displaying data is not large enough to display a graph.

  Moreover, in embodiment mentioned above, although the case where CPU55 as a specific information generation process part and the driving | running | working pattern database 58 were provided in the same server was illustrated, it is not limited to this, The first server and the second server are connected to each other via a network such as the Internet or a LAN and configured to transmit and receive data. Then, the CPU of the second server is provided in the first server. The data accumulated in the travel pattern database 58 may be received via a network, and the received data may be used to function as a specific information generation processing unit.

As mentioned above, although some embodiment of this invention was described, this invention is not limited to embodiment mentioned above, It includes the invention described in the claim, and its equivalent range.
Hereinafter, the invention described in the scope of claims of the present application will be appended.

(Appendix)
[1] a first sensor that detects acceleration during movement of the human body and outputs acceleration data;
A second sensor for detecting angular velocity during the movement of the human body and outputting angular velocity data;
A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the motion of the human body, and a pattern of a change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data. Among the plurality of animation patterns, each of which is associated with a set of a plurality of change waveform patterns, each defining the movement of the skeleton model, the movement of the human body detected by the first and second sensors. A change waveform that is similar to or coincides with a set of a change waveform pattern per unit time of the acceleration vector and a change waveform pattern per unit time of the angular velocity vector, calculated based on the acceleration data and the angular velocity data A pattern set of The animation pattern, by setting the operation of the skeleton model, the identification information generating unit that generates an animation, a movement information generation system, characterized in that it comprises.

  [2] The exercise information generating system according to claim 1, wherein the first and second sensors are attached to a trunk of the upper body of the human body.

  [3] The exercise information generation system according to [1] or [2], wherein the exercise information generation system further includes a database in which the plurality of animation patterns are accumulated.

  [4] The exercise information generation system according to [3], wherein the specific information generation processing unit and the database are connected via a network.

  [5] The exercise information generation system according to any one of [1] to [4], wherein the exercise information generation system further includes a display processing unit that displays the generated animation on a display unit. Generation system.

[6] The motion information generation system further includes a third sensor that detects a geographical position of the human body during the motion and outputs GPS data.
The display processing unit displays the animation on the display unit so as to be linked to map information generated based on the GPS data and indicating a movement route of the human body during the exercise. 5].

  [7] When the arbitrary point in the map information is instructed, the display processing unit displays the animation at the point on the display unit in conjunction with the instruction. It is an exercise | movement information generation system of description.

[8] The exercise information generation system further includes a fourth sensor that detects biological information during the exercise of the human body and outputs heartbeat data.
The display processing unit displays the animation on the display unit so as to be linked to the biometric information generated based on the heartbeat data during the exercise of the human body [5] to [7] The exercise information generation system according to any one of [7].

  [9] When an arbitrary time point in the information indicating the biological information is instructed, the display processing unit displays the animation at the time point on the display unit in conjunction with the instruction. 8] A motion information generation system according to the above.

[10]
A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the movement of the human body output from a first sensor that detects acceleration during movement of the human body and outputs acceleration data; A change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data during the movement of the human body output from a second sensor that detects angular velocity during the movement of the human body and outputs angular velocity data. The human body detected by the first and second sensors from among a plurality of animation patterns each of which is associated with a set of a plurality of change waveform patterns and defines the movement of the skeleton model. Unit time per unit time of the acceleration vector calculated based on the acceleration data and the angular velocity data during the exercise A set of change waveform patterns that are similar to or coincident with a set of change waveform patterns and a set of change waveform patterns per unit time of the angular velocity vector, and associate them with the extracted set of change waveform patterns Generating an animation by setting the generated animation pattern as the behavior of the skeleton model;
This is a motion information generation program characterized by this.

[11] A change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the motion of the human body output from the first sensor that detects acceleration during the motion of the human body and outputs acceleration data Per unit time of a three-dimensional angular velocity vector based on the pattern and the angular velocity data during the movement of the human body output from a second sensor that detects the angular velocity during the movement of the human body and outputs angular velocity data And a plurality of change waveform patterns, each of which is detected by the first and second sensors from among a plurality of animation patterns each defining the movement of the skeleton model. Further, the acceleration vector calculated based on the acceleration data and the angular velocity data during the movement of the human body. A set of change waveform patterns that are similar or coincident with a set of change waveform patterns per unit time and a set of change waveform patterns per unit time of the angular velocity vector, and the set of the extracted change waveform patterns Generating an animation by setting the animation pattern associated with to the behavior of the skeleton model;
This is a motion information generation method characterized by the above.

US user RT running path 10 chest sensor 11 heart rate detection circuit 12 acceleration sensor 13 angular velocity sensor 20 wrist coordinator 21 GPS receiving circuit 30 information terminal 30A mobile phone 30B smartphone 32 display unit 40 network 50 server (information processing device)
100 Web Browser 110 Page Screen 111 Calendar 112 Map Information 113 Animation 114-117 Graph

Claims (11)

A first sensor that detects acceleration during movement of the human body and outputs acceleration data;
A second sensor for detecting angular velocity during the movement of the human body and outputting angular velocity data;
A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the motion of the human body, and a pattern of a change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data. Among the plurality of animation patterns, each of which is associated with a set of a plurality of change waveform patterns, each defining the movement of the skeleton model, the movement of the human body detected by the first and second sensors. A change waveform that is similar to or coincides with a set of a change waveform pattern per unit time of the acceleration vector and a change waveform pattern per unit time of the angular velocity vector, calculated based on the acceleration data and the angular velocity data A pattern set of The animation pattern, wherein by setting the operation of the skeleton model, the motion information generation system characterized by the identification information generating unit for generating an animation comprises.   The exercise information generation system according to claim 1, wherein the first and second sensors are attached to a trunk of the upper body of the human body.   The exercise information generation system according to claim 1, wherein the exercise information generation system further includes a database in which the plurality of animation patterns are accumulated.   The exercise information generation system according to claim 3, wherein the specific information generation processing unit and the database are connected via a network.   The exercise information generation system according to any one of claims 1 to 4, further comprising a display processing unit that displays the generated animation on a display unit. The movement information generation system further includes a third sensor that detects a geographical position of the human body during the movement and outputs GPS data.
The display processing unit displays the animation on the display unit so as to be linked to map information generated based on the GPS data and indicating a movement path of the human body during the exercise. Item 6. The exercise information generation system according to Item 5.   The exercise according to claim 6, wherein when an arbitrary point in the map information is instructed, the display processing unit displays the animation at the point on the display unit in conjunction with the instruction. Information generation system. The exercise information generation system further includes a fourth sensor that detects biological information during the exercise of the human body and outputs heartbeat data.
The display processing unit displays the animation on the display unit so as to be linked to the biological information generated during the exercise of the human body generated based on the heartbeat data. The exercise information generation system according to any one of 7.   9. The display processing unit, when an arbitrary time point in the information indicating the biological information is instructed, displays the animation at the time point on the display unit in conjunction with the instruction. Exercise information generation system. On the computer,
A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the movement of the human body output from a first sensor that detects acceleration during movement of the human body and outputs acceleration data; A change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data during the movement of the human body output from a second sensor that detects angular velocity during the movement of the human body and outputs angular velocity data. The human body detected by the first and second sensors from among a plurality of animation patterns each of which is associated with a set of a plurality of change waveform patterns and defines the movement of the skeleton model. Unit time per unit time of the acceleration vector calculated based on the acceleration data and the angular velocity data during the exercise A set of change waveform patterns that are similar to or coincident with a set of change waveform patterns and a set of change waveform patterns per unit time of the angular velocity vector, and associate them with the extracted set of change waveform patterns Generating an animation by setting the generated animation pattern as the behavior of the skeleton model;
An exercise information generation program characterized by that. A pattern of a change waveform per unit time of a three-dimensional acceleration vector based on the acceleration data during the movement of the human body output from a first sensor that detects acceleration during movement of the human body and outputs acceleration data; A change waveform per unit time of a three-dimensional angular velocity vector based on the angular velocity data during the movement of the human body output from a second sensor that detects angular velocity during the movement of the human body and outputs angular velocity data. The human body detected by the first and second sensors from among a plurality of animation patterns each of which is associated with a set of a plurality of change waveform patterns and defines the movement of the skeleton model. Unit time per unit time of the acceleration vector calculated based on the acceleration data and the angular velocity data during the exercise A set of change waveform patterns that are similar to or coincident with a set of change waveform patterns and a set of change waveform patterns per unit time of the angular velocity vector, and associate them with the extracted set of change waveform patterns Generating an animation by setting the generated animation pattern as the behavior of the skeleton model;
An exercise information generation method characterized by the above.

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