JP2006218202A - System for measuring body state at the time of exercise and apparatus for measuring body state at the time of exercise - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system and an apparatus for measuring a body state at the time of exercise, which enable a user to recognize and correct his/her own body state at the time of the exercise. <P>SOLUTION: In a sensor tile 10 installed on a floor surface where a user walks, a pressure based on the walking of the user is measured by a plurality of pressure sensors and the measured value is outputted to a management device 20. In the management device 20, on the basis of the measured value outputted from the sensor tile 10, a walking parameter indicating the feature of the walking of the user is calculated. A difference parameter resulting from the comparison between the walking parameter and a standard parameter is calculated. The walking state of the user is specified on the basis of the difference parameter and the information is transmitted to a portable terminal 30. In the portable terminal 30, at the time of receiving the walking state of the user from the management device 20, the walking state is displayed on a display 35. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a physical state measuring system and a physical state measuring apparatus for exercise that measure the physical state of a user during exercise, and in particular, the user grasps and corrects the physical state of the user during exercise. About what can be.

  2. Description of the Related Art Conventionally, various techniques for analyzing a body state during a human exercise using a pressure sensor are known. For example, a two-dimensional pressure distribution based on walking is acquired as a time-series pressure distribution image at regular time intervals, a superimposed image is created by superimposing the time-series pressure distribution image in the time direction, and a plurality of legs extracted from the superimposed image It is known to associate a time-series pressure distribution image for each crush area and acquire a parameter indicating the characteristics of walking based on the correlation. According to this walking pattern processing apparatus, the spatial and temporal parameters of the walking motion can be acquired automatically and stably without imposing a burden on the subject (for example, see Patent Document 1).

Further, the center of gravity position of the foot pressure distribution region appearing in the two-dimensional pressure distribution image is detected for the two-dimensional pressure distribution image sequence from the pressure sensor, and the peak position of the unevenness in the locus of the center of gravity position is used as the initial cluster center for two-dimensional It is known that pixels having pressure values in a superimposed image of a pressure distribution image are grouped based on position information of each pixel, and the grouped region is output as a foot region. According to this walking pattern processing device, it is possible to accurately extract a foot region from a two-dimensional pressure distribution image sequence corresponding to a wide variety of walking patterns in a walking motion of a person or an animal (for example, Patent Document 2). See).
Japanese Patent Laid-Open No. 9-91437 Japanese Patent Laid-Open No. 10-228540

  In such a conventional technique, the walking pattern of the subject can be accurately analyzed by extracting the parameters indicating the characteristics of walking and the foot area of the pedestrian. However, this walking pattern is merely a quantitative representation of foot size, foot shape, stride length, travel direction, center of gravity position, and the like. On the other hand, a pedestrian who is a subject may want to grasp whether his / her physical condition during exercise is correct or incorrect from the viewpoint of health or appearance. In such a case, even if the pedestrian refers to his / her walking pattern, the physical state during exercise such as the inclination of the foot during walking, the stability of walking, and the posture during walking cannot be grasped.

  Also, if the physical condition at the time of exercise is wrong from the viewpoint of health or appearance, even if a pedestrian wants to know how to improve it, conventionally, advice to improve the physical condition at the time of exercise has been presented There was no technology to do so, and it was difficult to improve the physical condition during exercise.

  The present invention has been made in order to solve the above-described problems, and allows the user to easily grasp the physical state during his / her exercise and changes thereof, and also according to the physical state during each user's exercise. It is an object of the present invention to provide a physical condition measuring system and a physical condition measuring apparatus for exercise that can present appropriate advice.

  To achieve the above object, the physical condition measuring system for exercise according to the first aspect of the present invention is based on the measurement value output from the physical condition measuring apparatus for exercise that measures the physical condition of the user during exercise. A physical condition measuring system for exercise comprising the physical condition specifying device for exercise specifying the physical condition of the user during exercise, and the physical condition presentation device for exercise presenting the physical condition of the user during exercise, The at-exercise body state identification device indicates a characteristic of the at-exercise body state of the user based on the measurement value acquisition means for acquiring the measurement value output from the at-exercise body state measurement device and the measurement value. A physical parameter storage means for calculating physical condition parameters during exercise, and a standard parameter memory for storing standard parameters indicating characteristics of physical conditions during exercise in the correct physical state during exercise And a comparison calculation parameter calculation means for comparing the physical condition parameter during exercise with the standard parameter and calculating a comparison calculation parameter indicating a comparison calculation result of the two, based on the comparison calculation parameter, the user's Exercise physical condition specifying means for specifying an exercise physical condition; and exercise physical condition transmitting means for transmitting the exercise physical condition specified by the exercise physical condition specifying means to the exercise physical condition presenting device. The physical condition presentation device during exercise includes a physical condition receiving unit that receives the physical state during exercise transmitted from the physical condition specifying device during exercise, and a physical body that is received by the physical condition receiving unit during exercise. Physical state presentation means for exercising to present the state.

  In addition to the configuration of the invention according to claim 1, the physical condition measurement system for exercise of the invention according to claim 2 is characterized in that the physical condition determination device for exercise uses the comparison operation parameter as the physical condition presentation device for exercise. A comparison calculation parameter transmission means for transmitting to the physical condition presentation apparatus during exercise, the comparison calculation parameter reception means for receiving the comparison calculation parameter transmitted from the physical condition identification apparatus during exercise, and at least the user Comparing the history information storage means for storing the previous physical condition parameters during exercise, the comparison calculation parameter received by the comparison calculation parameter receiving means, and the previous physical condition parameters during exercise stored in the history information storage means A change amount parameter calculating means for calculating a change amount parameter indicating a change amount of both, and the change amount parameter. State change degree specifying means for specifying a state change degree indicating a change in the physical state of the user during exercise, and a state change degree presentation for presenting the state change degree specified by the state change degree specifying means. Means.

  In addition to the configuration of the invention according to claim 2, the physical condition measurement system for exercise of the invention according to claim 3 is characterized in that the physical condition presentation device during exercise includes at least one of the physical condition during exercise and the state change degree. One piece of advice information storing means associated with advice information to be presented to the user, the physical state during exercise received by the physical state receiving means during exercise, and the state change degree specifying means. Advice information acquisition means for acquiring the advice information from the advice information storage means, and advice information presentation means for presenting the advice information acquired by the advice information acquisition means, based on at least one of the state change degrees It has.

  According to a fourth aspect of the present invention, in addition to the configuration of the invention according to any one of the first to third aspects, the standard parameter storage means includes a plurality of the standard parameter storage means according to height and sex. The standard calculation parameter is stored, and the comparison calculation parameter calculation means calculates the comparison calculation parameter by comparing the physical condition parameter during exercise with the standard parameter according to the height and sex of the user. It is characterized by.

  In addition to the configuration of the invention according to any one of claims 1 to 4, the physical condition measurement system during exercise of the invention according to claim 5 includes the physical condition during exercise, the degree of state change, and the advice information, The present invention relates to at least one of the inclination of the foot, the drag of the foot, the position of the center of gravity of the body, and the stability of walking.

  According to a sixth aspect of the present invention, there is provided an apparatus for measuring physical condition during exercise, the physical condition measuring means for measuring the physical condition of the user during exercise, and the measurement value output from the physical condition measuring means during exercise. A measurement value acquisition means for acquiring a physical condition parameter during exercise that calculates a physical condition parameter during exercise indicating characteristics of the physical condition during exercise of the user based on the measurement value, and a correct body during exercise A standard parameter storage means for storing standard parameters indicating characteristics of physical condition during exercise in a state, and comparing the physical condition parameter during exercise with the standard parameter to calculate a comparison calculation parameter indicating a comparison calculation result of the two A comparison calculation parameter calculating means, and an exercise physical condition specifying means for specifying the user's exercise physical condition based on the comparison calculation parameter; And a motion during physical condition presenting means for presenting the motion during physical condition specified by the serial movement during physical condition specifying means.

  In addition to the configuration of the invention of claim 6, the physical condition measuring device for exercise of the invention according to claim 7 includes history information storage means for storing at least the previous physical condition parameter of exercise for the user, A change in which a comparison parameter received by the comparison calculation parameter receiving means is compared with a previous physical condition parameter during exercise stored in the history information storage means, and a change parameter indicating a change amount between them is calculated. A state parameter specified by a quantity parameter calculating means, a state change degree specifying means for indicating a change in the physical state of the user during exercise based on the change amount parameter, and a state specified by the state change degree specifying means State change degree presenting means for presenting the degree of change.

  According to an eighth aspect of the present invention, in addition to the configuration of the seventh aspect of the invention, at least one of the physical state during exercise and the degree of state change is presented to the user. At least one of advice information storage means associated with advice information to be corrected, physical state during exercise specified by the physical condition specifying means during exercise, and state change degree specified by the state change degree specifying means Based on the advice information storage means, the advice information acquisition means for acquiring the advice information, and the advice information presentation means for presenting the advice information acquired by the advice information acquisition means.

  In addition to the configuration of the invention according to any one of claims 6 to 8, the standard parameter storage unit includes a plurality of the standard parameter storage means according to height and sex. The standard calculation parameter is stored, and the comparison calculation parameter calculation means calculates the comparison calculation parameter by comparing the physical condition parameter during exercise with the standard parameter according to the height and sex of the user. It is characterized by.

  In addition to the configuration of the invention according to any one of claims 6 to 9, the physical condition measurement apparatus for exercise of the invention according to claim 10 includes the physical condition during exercise, the state change degree, and the advice information, The present invention relates to at least one of the inclination of the foot, the drag of the foot, the position of the center of gravity of the body, and the stability of walking.

  In the physical condition measuring system for exercise of the invention according to claim 1, in the physical condition identifying apparatus for exercise, the physical condition of the user is identified based on the comparison calculation parameters, The physical state during exercise is presented to the user. Thus, the user can accurately grasp his / her physical state during exercise.

  In addition, in the physical condition measurement system for exercise of the invention according to claim 2, in addition to the effect of the invention of claim 1, in the physical condition presentation apparatus for exercise, the physical condition of the user during exercise based on the change amount parameter The state change degree indicating the change in the number is specified, and the state change degree is presented to the user. Thus, the user can accurately grasp the change in the physical state during his / her exercise.

  In addition, in the physical condition measuring system for exercise of the invention according to claim 3, in addition to the effect of the invention of claim 2, in the physical condition presentation device for exercise, based on the physical condition of the user and the degree of change of state. The advice information is identified and the advice information is presented to the user. Therefore, the user can receive advice according to his / her physical condition during exercise, and can correct the physical condition during exercise according to this advice.

  In addition, in the physical condition measuring system for exercise of the invention according to claim 4, in addition to the effects of the invention of any one of claims 1 to 3, exercise is performed using standard parameters according to the height and sex of the user. A comparison operation parameter that is a comparison result with the time body condition parameter is calculated. Therefore, since the optimal standard parameters are used according to the height and sex of the user, the physical state of the user during exercise can be specified more accurately.

  In addition, in the physical condition measuring system for exercise of the invention according to claim 5, in addition to the effects of the invention according to any one of claims 1 to 4, the physical condition during exercise, the degree of state change, and advice information are provided to the user. This relates to at least one of the inclination of the foot, the drag of the foot, the position of the center of gravity of the body, and the stability of walking. Therefore, the user can accurately understand his / her physical condition during exercise and can correct the physical condition during exercise with certainty.

  In the physical condition measuring apparatus for exercise of the invention according to claim 6, the physical condition during exercise of the user is specified based on the comparison calculation parameter, and the physical condition during exercise is presented to the user. Thus, the user can accurately grasp his / her physical state during exercise.

  In addition, in the physical condition measuring apparatus for exercise of the invention according to claim 7, in addition to the effect of the invention of claim 6, the state change degree indicating the change of the physical condition of the user during exercise is based on the change amount parameter. The state change degree is specified and presented to the user. Thus, the user can accurately grasp the change in the physical state during his / her exercise.

  Further, in the physical condition measuring apparatus for exercise of the invention according to claim 8, in addition to the effect of the invention of claim 7, advice information is specified based on the physical condition of the user and the degree of state change, The advice information is presented to the user. Therefore, the user can receive advice according to his / her physical condition during exercise, and can correct the physical condition during exercise according to this advice.

  Further, in the physical condition measuring apparatus for exercise of the invention according to claim 9, in addition to the effect of the invention of any one of claims 6 to 8, exercise is performed using standard parameters according to the height and sex of the user. A comparison operation parameter that is a comparison result with the time body condition parameter is calculated. Therefore, since the optimal standard parameters are used according to the height and sex of the user, the physical state of the user during exercise can be specified more accurately.

  In addition, in the physical condition measuring apparatus for exercise of the invention according to claim 10, in addition to the effects of the invention according to any one of claims 6 to 9, the physical condition during exercise, the degree of change in state, and advice information are provided to the user. This relates to at least one of the inclination of the foot, the drag of the foot, the position of the center of gravity of the body, and the stability of walking. Therefore, the user can accurately understand his / her physical condition during exercise and can correct the physical condition during exercise with certainty.

  Hereinafter, a first embodiment of the present invention will be described. In the present embodiment, the walking state measurement system 1 that specifies and presents the walking state of the user as “the physical state of the user during exercise” is exemplified. The walking state measurement system 1 presents to the user the management device 20 that specifies the user's walking state based on the measurement values output from the plurality of sensor tiles 10 and the walking state specified by the management device 20. It is comprised with the portable terminal 30.

  First, the configuration of the walking state measurement system 1 according to the present embodiment will be described with reference to FIGS. 1 to 3. FIG. 1 is an overall configuration diagram of the walking state measurement system 1. FIG. 2 is a plan view for explaining the sensor tile 10. FIG. 3 is a block diagram showing an electrical configuration of the walking state measurement system 1.

  As shown in FIG. 1, in the walking state measurement system 1 of the present embodiment, a plurality of sensor tiles 10 that measure pressure from the user's soles are installed on the floor surface on which a user who is a subject walks. Yes. The plurality of sensor tiles 10 are connected to the management device 20, and the measurement values in each sensor tile 10 are output to the management device 20 as the user walks on the plurality of sensor tiles 10.

  The management device 20 is a computer device that is connected to each sensor tile 10 by wire and can be connected to each mobile terminal 30 wirelessly. In the management device 20, the user's walking state is specified based on the measurement value output from each sensor tile 10, and the walking state is transmitted to the mobile terminal 30. In the present embodiment, the management device 20 is installed at a position where wireless communication is performed with the mobile terminal 30 only when the mobile terminal 30 exists in the sensor tile 10 and the vicinity thereof. It is assumed that

  The portable terminal 30 is a computer device that has a small and lightweight casing that can be carried by a user and can be connected to the management apparatus 20 by wireless communication. In the portable terminal 30, the received walking state is output by sound or image. Therefore, the user can grasp his / her walking state by referring to the mobile terminal 30. In the present embodiment, it is assumed that the user is walking on the sensor tile 10 while carrying the mobile terminal 30.

  As shown in FIG. 2, the sensor tile 10 has a configuration in which a plurality of pressure sensors 10a are arranged on a plate-like substrate 10b. The pressure sensor 10a is pressed. Then, the results (measured values) measured by the pressure sensors 10a are output to the external management device 20 via the data output unit (not shown) provided in the tile sensor 10 at regular time intervals. In addition, a sensor ID unique to each pressure sensor 10a is stored in a storage area (not shown) provided in the sensor tile 10, and this sensor ID is also output to the management device 20 together with the measured value. The sensor tile 10 of the present embodiment is a thin plate having a square shape with a side of 30 cm in a plan view, and a plurality of sensor tiles 10 are closely placed on the floor surface on which the user walks (see FIG. 1).

  As shown in FIG. 3, the walking state measurement system 1 has a configuration in which the sensor tile 10, the management device 20, and the mobile terminal 30 are electrically connected.

  First, in the management apparatus 20, a CPU 21 that controls the management apparatus 20, a RAM 22 that temporarily stores various data, a ROM 23 that stores BIOS and the like, and an RFID that performs wireless communication with an external RFID tag. In addition to the tag reader 26 and the input device 27 for operating the management device 20, a hard disk device (hereinafter referred to as HDD) 24, a CD-ROM drive 25, an I / O interface 28, and a communication interface 29 are provided on the bus. Are connected to each other.

  The HDD 24 includes a control program executed by the CPU 21 (including a program for executing “main processing of the management apparatus” (see FIG. 4) described later), a sensor position table 100 (see FIG. 6) described later, and a standard. Various information such as a parameter database 200 (see FIG. 8) is stored. The CD-ROM inserted into the CD-ROM drive 25 stores a control program for the management apparatus 20, and the control program is set up and stored in the HDD 24 from the CD-ROM upon introduction.

  A data output unit (not shown) of the sensor tile 10 is connected to the I / O interface 28, and when a measurement value is output from the sensor tile 10, the data is input to the management device 20. The communication interface 29 is connected to a wired or wireless network for data communication with the mobile terminal 30, and various information can be transmitted from the management device 20 to the mobile terminal 30.

  Next, in the mobile terminal 30, a CPU 31 that controls the mobile terminal 30, a RAM 32 that temporarily stores various data, a ROM 33 that stores BIOS, a display 35 that displays various data, and various data as audio data. In addition to the output speaker 36 and the input device 37 for the user to operate the mobile terminal 30, the HDD 34 and the communication interface 39 are connected to each other via a bus.

  The HDD 34 includes a control program executed by the CPU 31 (including a program for executing a “main process of the mobile terminal” described later (see FIG. 10)), a history information database 300 (see FIG. 12) described later, and advice. Various information such as an information database 400 (see FIGS. 16 to 19) and a user standard parameter record read from the standard parameter database 200 is stored.

  The communication interface 39 is connected to a wired or wireless network for data communication with the management device 20, and can receive various information transmitted from the management device 20. In the present embodiment, the communication interfaces 29 and 39 are connected by wireless communication via antennas (not shown).

  Further, the portable terminal 30 incorporates an RFID tag 38 that performs wireless communication with an external RFID tag reader. The RFID tag 38 stores ID information unique to the portable terminal 30, and the ID information can be read by the RFID tag reader 26. With such a configuration, the management device 20 can identify the user who owns the mobile terminal 30 by acquiring the ID information stored in the RFID tag 38.

  Next, the flow of processing executed by the walking state measurement system 1 according to the present embodiment will be described separately for processing in the management device 20 and processing in the mobile terminal 30.

  First, processing executed by the management apparatus 20 will be described with reference to FIGS. FIG. 4 is a flowchart showing main processing of the management apparatus 20. FIG. 5 is a flowchart showing details of the bed pressure distribution input process (S1). FIG. 6 is a diagram illustrating a data configuration of the sensor position table 100. FIG. 7 is a flowchart showing details of the difference parameter calculation process (S4). FIG. 8 is a diagram showing a data configuration of the standard parameter database 200. FIG. 9 is a flowchart showing details of the walking state specifying process (S5). The main process in the management device 20 (FIG. 4) is a control program stored in the HDD 24 when the management device 20 is turned on and measurement of the walking state of a user walking on the sensor tile 10 is started. This is executed by the CPU 21 based on the above.

  As shown in FIG. 4, in the main process of the management apparatus 20, first, a floor pressure distribution input process (S1) for creating a pressure distribution map based on a plurality of measurement values output from each sensor tile 10 (pressure sensor 10a). Is executed.

  As shown in FIG. 5, in the floor pressure distribution input process (S1), sensor IDs and measurement values output from the plurality of pressure sensors 10a included in each sensor tile 10 are acquired (S11). And the sensor position of each pressure sensor 10a is acquired with reference to the sensor position table 100 memorize | stored in HDD24 (S13).

  As shown in FIG. 6, the sensor position table 100 stores the sensor ID of each pressure sensor 10a and the location (sensor position) in association with each other. For example, when the sensor ID “1” is acquired together with the measurement value in S11, the sensor position (1, 1) is acquired as the arrangement location of the pressure sensor 10a in S13.

  On the other hand, among the measured values acquired in S11, for those for which the sensor position could not be acquired in S13, a pressure distribution diagram is created by interpolating the sensor position from the measured value (S15). An example of this interpolation method will be described. First, the range of the pressure distribution diagram is divided into four with the interpolation point being the sensor position of the pressure sensor 10a to be interpolated (the sensor position for which the measurement value cannot be specified) as the center. Next, the measurement value of the pressure sensor 10a closest to the interpolation point is specified for each divided range, and an average value of the four measurement values with the reciprocal of the distance to the interpolation point as a weight is calculated. If there are no four measurement values that meet the conditions, the average value may be calculated using only the measurement values that meet the conditions. This average value is set as a measurement value to be measured by the pressure sensor 10a existing at the interpolation point.

  As described above, in the floor pressure distribution input process (S1) shown in FIG. 5, each measurement corresponding to the arrangement location (sensor position) of each pressure sensor 10a is performed based on the sensor IDs and measurement values of the plurality of pressure sensors 10a. A pressure distribution diagram in which values are distributed is created at regular time intervals.

  Returning to the main process (FIG. 4), a walking parameter calculation process for calculating a walking parameter indicating the characteristics of the user's walking is executed (S2). Hereinafter, an example of a method for calculating the walking parameter will be described. First, a pressure distribution diagram created at regular time intervals in the bed pressure distribution input process (S1) is acquired as a time-series pressure distribution image. Next, this time-series pressure distribution image is superimposed in the time direction to create a superimposed image. Next, a plurality of foot pressure mass regions are extracted from this superimposed image. Next, the time-series pressure distribution image is associated with each of the plurality of foot pressure mass regions. Based on this association, walking parameters indicating the characteristics of walking are acquired. Since such a walking parameter calculation method is a known technique, details are omitted (see, for example, Japanese Patent Laid-Open Nos. 9-91437 and 10-228540).

  By the way, the walking parameters acquired in the walking parameter calculation process (S2) are the walking parameters of the user for each parameter item such as “foot angle”, “simultaneous contact time”, “center of gravity position”, “center of gravity movement variation coefficient”. It is data that numerically expresses the characteristics of. “Foot angle” is an item indicating an angle at which a straight line connecting the heel and the toe is inclined with respect to the traveling direction. “Simultaneous grounding time” is an item indicating a time interval for both feet to ground during walking. The “center of gravity position” is an item indicating the position of the center of gravity with the largest measurement value by the pressure sensor 10a. The “centroid movement variation coefficient” is an item indicating the magnitude of the rate at which the position of the center of gravity varies during walking.

  Next, a personal information acquisition process for reading the ID information from the portable terminal 30 and acquiring the personal information of the user is executed (S3). That is, when there is a user walking on the sensor tile 10, RF transmission / reception is performed with the RFID tag 38 of the portable terminal 30 carried by the user, and the ID information in the RFID tag 38 is transferred to the RFID tag reader 26. Read through. Based on the ID information, a user information database (not shown) in the HDD 24 is referred to, and personal information of the user corresponding to the ID information is acquired. In the present embodiment, it is assumed that the personal information acquired in S3 is data indicating the “height” and “gender” of the user.

  Next, a difference parameter calculation process for comparing the walking parameter and the standard parameter and calculating a difference parameter indicating the difference between the two is executed (S4).

  As shown in FIG. 7, in the difference parameter calculation process (S4), first, the standard parameter database 200 is opened (S21), and “height” and “gender” acquired in the personal information acquisition process (S3) are used as keys. The standard parameter database 200 is searched, and standard parameters corresponding to the “height” and “gender” are read (S23).

  As shown in FIG. 8, the standard parameter database 200 includes a plurality of walking parameters as ideal parameters in an ideal correct walking state corresponding to the user's personal information (here, “height” and “gender”). Is defined. For example, in the personal information acquisition process (S3), when it is specified that the user's “height” is 150 cm and the “sex” is female, in S23, “foot angle” = 0 °, “simultaneous contact time” = Standard parameters indicating 0.3 s, “center of gravity position” = 18 cm, and “center of gravity movement variation coefficient” = 0.09 are acquired (see FIG. 8).

  Next, from the “foot angle” of the walking parameter acquired in S3 (hereinafter referred to as “foot angle” walking parameter), the “foot angle” (hereinafter referred to as “foot angle” standard parameter) of the standard parameter acquired in S23 is obtained. Subtraction is performed to obtain a difference parameter X11 (S25). The “simultaneous grounding time” walking parameter is divided by the “simultaneous grounding time” standard parameter to obtain a difference parameter X12 (S27). The “center of gravity position” walking parameter is divided by the “center of gravity position” standard parameter to obtain a difference parameter X13 (S29). The “center-of-gravity movement variation coefficient” standard parameter is subtracted from the “center-of-gravity movement variation coefficient” walking parameter to obtain a difference parameter X14 (S31). Finally, the difference parameters X11, X12, X13, and X14 are returned to the main process (FIG. 4) (S33).

  As described above, in the difference parameter calculation process (S4) shown in FIG. 7, the optimal standard parameter is acquired according to the personal information acquired in S3, and the walking parameter acquired in S2 is compared with this standard parameter. Thus, the difference parameters X11, X12, X13, and X14 are calculated.

  Returning to the main process (FIG. 4), a walking state specifying process for specifying the user's walking state based on the difference parameter is executed (S5).

  As shown in FIG. 9, in the walking state specifying process (S5), the walking state angle is first set based on the difference parameter X11 related to the “foot angle”. That is, when the difference parameter X11 is larger than 5 (S41: YES), the walking state angle = “inner thigh” is set (S43). When the difference parameter X11 is smaller than −5 (S41: NO, S45: YES), the walking state angle = “outer crotch” is set (S47). When the difference parameter X11 is −5 or more and 5 or less (S41: NO, S45: NO), the walking state angle = “correct” is set (S49).

  Next, the walking state line is set based on the difference parameter X12 regarding the “simultaneous grounding time”. That is, when the difference parameter X12 is larger than 1.2 (S51: YES), the walking state line = “Dragging foot” is set (S53). When the difference parameter X12 is 1.2 or less (S51: NO), the walking state line = “correct” is set (S55).

  Next, the walking state “posture” is set based on the time difference parameter X13 related to the “center of gravity position”. That is, when the difference parameter X13 is larger than 1.2 (S57: YES), the walking state “posture =“ the center of gravity is behind ”is set (S59). When the difference parameter X13 is smaller than 0.8 (S57: NO, S61: YES), the walking state “posture =“ the center of gravity is in front ”is set (S63). When the difference parameter X13 is not less than 0.8 and not more than 1.2 (S57: NO, S61: NO), the walking state posture = “correct” is set (S65).

  Next, the walking state variation is set based on the difference parameter X14 regarding the “centroid movement variation coefficient”. That is, when the difference parameter X14 is larger than 0.001 (S67: YES), the walking state variation = “walking instability” is set (S69). When the difference parameter X14 is 0.001 or less (S67: NO), the walking state variation = “walking stability” is set (S71).

  Finally, the walking state angle, line, posture, variation is returned to the main process (FIG. 4) (S73).

  As described above, in the walking state specifying process (S5) shown in FIG. 9, based on the difference parameters X11, X12, X13, and X14 calculated in S4, the user's walking state angle, line, posture, and variation are changed to S4. Is specified each time a new difference parameter is calculated.

  Returning to the main process (FIG. 4), the walking parameters calculated in the walking parameter calculation process (S2) and the walking state acquired in the walking state specifying process (S5) are connected via the communication interface 29 to the portable terminal 30. A data transmission process for wirelessly transmitting data is executed (S6). After that, the process returns to S1, and at least while the user is walking on the sensor tile 10, the main process (FIG. 4) is repeatedly executed.

  Next, processing executed by the mobile terminal 30 will be described with reference to FIGS. 10 to 20. FIG. 10 is a flowchart showing main processing of the mobile terminal 30. FIG. 11 is a flowchart showing details of the change parameter calculation processing (S102). FIG. 12 is a diagram illustrating a data configuration of the history information database 300. 13 and 14 are flowcharts showing details of the state change degree specifying process (S103). FIG. 15 is a flowchart showing details of the advice information specifying process (S104). 16 to 19 are diagrams showing the data structure of the advice information database 400. FIG. 20 is a diagram illustrating an example of a display form on the display 35. The main process in the mobile terminal 30 (FIG. 10) is a control program stored in the HDD 34 when the mobile terminal 30 is turned on and measurement of the walking state of a user walking on the sensor tile 10 is started. Based on the above, it is executed by the CPU 31.

  As shown in FIG. 10, in the main process of the mobile terminal 30, first, a data reception process is performed in which the walking state and the walking parameters wirelessly transmitted from the management device 20 are received via the communication interface 39 (S <b> 101). . Then, a change parameter calculation process is performed in which the walk parameter received in S101 is compared with the previous walk parameter to calculate a change parameter indicating the difference between the two (S102).

  As shown in FIG. 11, in the change amount parameter calculation process (S102), the history information database 300 is first opened (S111), and the previous walking parameter (hereinafter referred to as the previous parameter) is read (S113). Further, the standard parameters of the user acquired from the standard parameter database 200 in S23 are read (S114).

  As shown in FIG. 12, the history information database 300 stores a plurality of walking parameters and walking states regarding the user created by the management device 20 as history, but at least the previous walking parameters and walking states are stored. It only has to be done. The walking parameters and walking states stored in the history information database 300 are “foot angle”, “simultaneous ground contact time”, “center of gravity position”, Data items related to the “center of gravity movement coefficient of variation” are provided.

  Next, from the “foot angle” (hereinafter referred to as “foot angle” walking parameter) of the walking parameter received in S101, the “foot angle” (hereinafter referred to as “foot angle” previous parameter) of the previous parameter acquired in S113 is obtained. The subtracted value is set as a change amount parameter X21 (S115). The “Simultaneous Grounding Time” walking parameter minus the “Simultaneous Grounding Time” previous parameter is divided by the user's standard parameter simultaneous grounding time acquired in S114 (hereinafter, “Simultaneous Grounding Time” standard parameter). The change amount parameter X22 is set (S117). A value obtained by subtracting the previous parameter of the “centroid position” from the “center of gravity position” walking parameter is divided by the standard parameter of the “centroid position” to obtain a change amount parameter X23 (S119). The change parameter X24 is obtained by subtracting the previous “centroid movement variation coefficient” parameter from the “centroid movement variation coefficient” walking parameter (S121). Finally, the change amount parameters X21, X22, X23, and X24 are returned to the main process (FIG. 10) (S123).

  As described above, in the change parameter calculation process (S102) shown in FIG. 11, the change parameter X21 is obtained by comparing the walking parameter transmitted from the management device 20 with the previous parameter stored in the history information database 300. , X22, X23, and X24 are calculated each time a new walking parameter is received.

  Returning to the main process (FIG. 10), the state change degree specifying process for specifying the state change degree indicating the change degree of the user's walking state based on the change amount parameter is executed (S103).

  As shown in FIGS. 13 and 14, in the state change degree specifying process (S103), the state change degree angle_change is first set based on the change amount parameter X21 related to the “foot angle”.

  When the change amount parameter X21 is 0 or more (S131: YES), it indicates that the walking state angle is improved compared to the previous time. Therefore, if the change amount parameter X21 is larger than 10 (S133: YES), the state change degree angle_change = “much improved” is set (S135). If the change amount parameter X21 is greater than 5 and 10 or less (S133: NO, S137: YES), the state change degree angle_change = “improvement” is set (S139). If the change amount parameter X21 is 0 or more and 5 or less (S133: NO, S137: NO), the state change degree angle_change = “improvement to a minute amount” is set (S141).

  On the other hand, when the change amount parameter X21 is less than 0 (S131: NO), it indicates that the walking state angle is worse than the previous time. Therefore, if the change amount parameter X21 is less than −10 (S143: YES), the state change degree angle_change = “much worse” is set (S145). If the change amount parameter X21 is not less than −10 and less than −5 (S143: NO, S147: YES), the state change degree angle_change = “deteriorated” is set (S149). If the change amount parameter X21 is −5 or more and less than 0 (S143: NO, S147: NO), the state change degree angle_change = “deteriorates to a small amount” is set (S151).

  Next, the state change degree line_change is set based on the change amount parameter X22 related to the “simultaneous grounding time”.

  When the change amount parameter X22 is 0 or more (S153: YES), it indicates that the walking state line is improved compared to the previous time. Therefore, if the change amount parameter X22 is greater than 0.2 (S155: YES), the state change degree line_change = “much improved” is set (S157). If the change parameter X22 is greater than 0.05 and less than or equal to 0.05 (S155: NO, S159: YES), the state change degree line_change = “improvement” is set (S161). If the change amount parameter X22 is not less than 0 and not more than 0.05 (S155: NO, S159: NO), the state change degree line_change = “improvement to a minute amount” is set (S163).

  On the other hand, if the change amount parameter X22 is less than 0 (S153: NO), it indicates that the walking state line is worse than the previous time. Therefore, if the change amount parameter X22 is less than −0.2 (S165: YES), the state change degree line_change = “much worse” is set (S167). If the change amount parameter X22 is not less than −0.2 and less than −0.05 (S165: NO, S169: YES), the state change degree line_change = “deteriorated” is set (S171). If the change amount parameter X22 is not less than −0.05 and less than 0 (S165: NO, S169: NO), the state change degree line_change = “deteriorates to a minute amount” is set (S173).

  Next, the state change degree posture_change is set based on the change amount parameter X23 related to the “center of gravity position”.

  When the change amount parameter X23 is 0 or more (S175: YES), it indicates that the walking state “posture” is improved compared to the previous time. Therefore, if the change amount parameter X23 is larger than 0.2 (S177: YES), the state change degree post_change = “highly improved” is set (S179). If the change amount parameter X23 is greater than 0.05 and less than 0.2 (S177: NO, S181: YES), the state change degree post_change = “improvement” is set (S183). If the change amount parameter X23 is not less than 0 and not more than 0.05 (S177: NO, S181: NO), the state change degree post_change = “improvement to a minute amount” is set (S185).

  On the other hand, when the change amount parameter X23 is less than 0 (S175: NO), it indicates that the walking state “posture” is worse than the previous time. Therefore, if the change amount parameter X23 is less than −0.2 (S187: YES), the state change degree post_change = “much worse” is set (S189). If the change amount parameter X23 is not less than −0.2 and less than −0.05 (S187: NO, S191: YES), the state change degree post_change = “deteriorated” is set (S193). If the change amount parameter X23 is −0.05 or more and less than 0 (S187: NO, S191: NO), the state change degree post_change = “deteriorates to a minute amount” is set (S195).

  Next, the state change degree variation_change is set based on the change amount parameter X24 related to the “centroid position variation coefficient”.

  When the change amount parameter X24 is 0 or more (S197: YES), it indicates that the walking state variation is improved compared to the previous time. Therefore, if the change amount parameter X24 is larger than 0.001 (S199: YES), the state change degree variation_change = “highly improved” is set (S201). If the change amount parameter X24 is greater than 0.0001 and less than or equal to 0.001 (S199: NO, S203: YES), the state change degree variation_change = “improvement” is set (S205). If the change amount parameter X24 is not less than 0 and not more than 0.0001 (S199: NO, S203: NO), the state change degree variation_change = “improvement to a minute amount” is set (S207).

  On the other hand, if the change amount parameter X24 is less than 0 (S197: NO), it indicates that the walking state variation is worse than the previous time. Therefore, if the change amount parameter X24 is less than −0.001 (S209: YES), the state change degree variation_change = “much worse” is set (S211). If the change amount parameter X24 is −0.001 or more and less than −0.0001 (S209: NO, S213: YES), the state change degree variation_change = “deteriorated” is set (S215). If the change amount parameter X24 is not less than −0.0001 and less than 0 (S209: NO, S213: NO), the state change degree variation_change = “deteriorates to a minute amount” is set (S217).

  Finally, the state change degrees angle_change, line_change, posture_change, variation_change are returned to the main process (FIG. 10) (S219).

  As described above, in the state change degree specifying process (S103) shown in FIGS. 13 and 14, the state change degrees of the user angle_change, line_change, line_change, based on the change amount parameters X21, X22, X23, and X24 calculated in S102. “posture_change” and “variation_change” are specified each time a new difference parameter is calculated in S102.

  Returning to the main process (FIG. 10), an advice information specifying process for specifying advice information based on the user's walking state and the degree of state change is executed (S104).

  As shown in FIG. 15, in the advice information specifying process (S104), the current walking state received in S101 is first read (S301), and the previous walking state stored in the history information database 300 is read (S303). ), The state change degree specified in S103 is read (S305). Then, the advice information is read from the advice information database 400 using the current walking state, the previous walking state, and the degree of state change as keys (S307), and the advice information is returned to the main process (FIG. 10) (S309).

  As shown in FIGS. 16 to 19, the advice information database 400 includes the current walking state, the previous time for each data item regarding “foot angle”, “simultaneous contact time”, “center of gravity position”, and “center of gravity movement variation coefficient”. The combination of the walking state and the state change degree is composed of a plurality of advice definition tables 401 to 404 associated with the advice information. That is, in each of the advice definition tables 401 to 404, one piece of advice information can be specified by a combination of the current walking state, the previous walking state, and the state change degree that are the keys. Each piece of advice information is composed of items “display” representing the contents thereof as symbols and “advice” representing the contents thereof as characters.

  For example, when the current walking state angle = “inner thigh” and the previous walking state angle = “inner thigh”, among the plurality of advice definition tables 401 related to “foot angle”, the one shown in FIG. 16 is specified. . When the state change degree angle_change = “much worse”, as “advance information” regarding “foot angle” to be presented to the user, “display” indicating the inner crotch in red meaning warning and the foot in the traveling direction The “advice” to walk towards is specified.

  Similarly, using the current walking state line, the previous walking state line, and the state change degree line_change as keys, advice regarding “simultaneous grounding time” from a plurality of advice definition tables 402 (see FIG. 17) regarding “simultaneous grounding time”. Information is identified. Also, advice information related to “center of gravity position” is identified from a plurality of advice definition tables 403 (refer to FIG. 18) related to “center of gravity position” using current walking state post, previous walking state posture, and state change degree posture_change as keys. The Further, using the current walking state variation, the previous walking state variation, and the state change degree variation_change as a key, from the plurality of advice definition tables 404 (see FIG. 19) regarding the “center of gravity position variation coefficient”, the advice regarding “center of gravity position variation coefficient”. Information is identified.

  As described above, in the advice information specifying process (S104) shown in FIG. 15, based on the walking state received in S101, the previous walking state stored in the history information database 300, and the state change degree specified in S103, Optimal advice information is identified.

  Returning to the main process (FIG. 10), the walking state, the state change degree, and the advice information are displayed on the display 35 (S105). As a result, as shown in FIG. 20, on the display 35, the walking state and state change degree of the user carrying the portable terminal 30 and advice information for the walking state are displayed for each item. Therefore, the user of the portable terminal 30 can easily grasp his / her walking state and changes thereof, and can correct his / her walking state according to the advice. In S105, instead of displaying on the display 35 or together with displaying on the display 35, the walking state, the degree of state change, and the advice information may be output from the speaker 36.

  Finally, the walking parameter and walking state received in S101 are registered in the history information database 300 (S106). Then, the latest walking parameter and walking state registered in the history information database 300 are used as the previous walking parameter and walking state in the next processing. Then, it returns to S101 and the process of said S101-S106 is repeatedly performed by receiving a new walking parameter and walking state from the management apparatus 20 as a trigger.

  As described above, according to the walking state measurement system 1 of the present embodiment, a user who has walked on the sensor tile 10 refers to the mobile terminal 3 to determine his / her walking state (foot inclination during walking, stability of walking). Sex, posture during walking, etc.) and changes in walking state (for example, improved or worsened) can be accurately grasped. Further, the user can receive advice according to his / her walking state, and can correct the walking state according to this advice.

  Further, in the difference parameter calculation process (S4), different standard parameters are used depending on the height and gender of the user, and the difference parameter that is the result of comparison with the walking parameter is calculated. The walking state can be specified. Furthermore, the walking state, walking state change and advice information can be easily understood by general users such as “foot tilt”, “foot drag”, “body center of gravity”, “walking stability”. Since it relates to an item, the user can accurately grasp his / her walking state and the like, and can reliably correct the walking state.

  Next, a second embodiment of the present invention will be described. The walking state measurement device 40 according to the second embodiment is a computer device that identifies a user's walking state based on measurement values output from the plurality of sensor tiles 10 and presents the walking state to the user. is there. That is, the walking state measuring device 40 includes the functions of the management device 20 and the mobile terminal 30 in the first embodiment.

  First, the configuration of the walking state measurement device 40 according to the present embodiment will be described with reference to FIG. FIG. 21 is a block diagram showing an electrical configuration of the walking state measuring device 40.

  As shown in FIG. 21, the walking state measuring device 40 displays a CPU 41 that controls the walking state measuring device 40, a RAM 42 that temporarily stores various data, a ROM 43 that stores BIOS and the like, and various data. In addition to a display 46, an input device 47 for operating the walking state measuring device 40, and a speaker 49 for outputting various data as sound, an HDD 44, a CD-ROM drive 45, and an I / O interface 48 are connected via a bus. Are connected to each other.

  The HDD 44 includes a control program executed by the CPU 41 (including a program for executing “main processing of the walking state measuring device” described later (see FIG. 22)), the sensor position table 100, and the standard parameter database 200 described above. , History information database 300, advice information database 400, and the like are stored. A data output unit (not shown) of the sensor tile 10 is connected to the I / O interface 48, and when a measurement value is output from the sensor tile 10, the data is input to the walking state measurement device 40.

  Next, the flow of processing executed by the walking state measurement device 40 according to the present embodiment will be described with reference to FIG. FIG. 22 is a flowchart showing main processing of the walking state measuring device 40.

  As shown in FIG. 22, in the main process of the walking state measuring device 40, the floor pressure distribution input process (S401) and the walking parameter calculation process (S402) are performed in the same manner as S1 to S5 of the main process (FIG. 4) of the management apparatus 20. ), Personal information acquisition processing (S403), difference parameter calculation processing (S404), and walking state identification processing (S405).

  Since the walking state measuring device 40 of the present embodiment does not include the RFID reader 26 and the user does not carry the portable terminal 30 (RFID tag 38), the personal information of the user is obtained as follows. To be acquired. First, before the user walks the sensor tile 10, his / her ID information is input to the walking state measurement device 40 using the input device 47. Then, in the personal information acquisition process (S403), referring to the user information database (not shown) in the HDD 44 based on the ID information input by the user, the user's personal information (not shown) corresponding to the ID information ( "Height" and "Gender") are acquired.

  Next, similarly to S102 to S106 of the main process (FIG. 10) of the mobile terminal 30, a change parameter calculation process (S406), a state change degree specifying process (S407), an advice information specifying process (S408), and a walking state Etc. (S409), walking parameters and walking state are stored in the history information database (S410). Then, it returns to S401 and repeats S401-S410 until measurement of a user's walking state is complete | finished.

  By the way, in 1st Embodiment, the history information only of the user of the said portable terminal 30 was memorize | stored in the history information database 300 of each portable terminal 30. FIG. However, since the walking state measuring device 40 of this embodiment is used by a plurality of users, the history information database 300 stores the history information of each user in association with the ID information. In the change amount parameter calculation process (S406) and the advice information identification process (S408), the history information of each user is read from the history information database 300 based on the ID information input by the user, Processing is performed in the same manner as in the first embodiment. In S410, the walking parameters and the walking state of each user are stored as history information for each ID information.

  As described above, according to the walking state measurement device 40 of the present embodiment, a user who has walked on the sensor tile 10 refers to the walking state measurement device 40 even if the user does not have a specific mobile terminal. It is possible to accurately grasp its own walking state (foot inclination during walking, walking stability, posture during walking, etc.) and changes in walking state (for example, whether it has improved or deteriorated). Further, the user can receive advice according to his / her walking state, and can correct the walking state according to this advice.

  By the way, in the first and second embodiments, the sensor tile 10 corresponds to the “exercise body state measuring device” and the “exercise body state measuring device” of the present invention, and the management device 20 of the present invention “ The mobile terminal 30 corresponds to the “exercise body state identification device”, and the mobile terminal 30 corresponds to the “exercise body state presentation device” of the present invention.

  And CPU21,41 which performs bed pressure distribution input processing (S1, S401) is equivalent to the "measurement value acquisition means" of this invention, and CPU21,41 which performs walk parameter calculation processing (S2, S402) is this invention. The standard parameter database 200 corresponds to the “standard parameter storage means” of the present invention, and the CPUs 21 and 41 that execute the difference parameter calculation processing (S4, S404) correspond to the present invention. The CPUs 21 and 41 that execute the physical condition specifying process during exercise (S5, S405) correspond to the “physical condition specifying means during exercise” of the present invention.

  Further, the history information database 300 corresponds to the “history information storage unit” of the present invention, and the CPUs 31 and 41 that execute the change parameter calculation processing (S102, S406) correspond to the “change parameter calculation unit” of the present invention. The CPUs 31 and 41 executing the state change degree specifying process (S103, S407) correspond to the “state change degree specifying means” of the present invention.

  The advice information database 400 corresponds to the “advice information storage unit” of the present invention, and the CPUs 31 and 41 that execute the advice information specifying process (S104, S408) correspond to the “advice information acquisition unit” of the present invention. The CPUs 31 and 41 that execute the display of the walking state or the like (S105, S409) correspond to the “exercise body state presentation unit”, “state change degree presentation unit”, and “advice information presentation unit” of the present invention.

  The CPU 21 that executes the data transmission process (S6) corresponds to the “physical state transmission means during exercise” and the “comparison calculation parameter transmission means” of the present invention. The CPU 31 that executes the data reception process (S101) It corresponds to the “physical state receiving means during exercise” and the “comparison calculation parameter receiving means” of the invention.

  In addition, this invention is not limited to embodiment described in full detail above, A various deformation | transformation is possible.

  In the above-described embodiment, the case where the present invention is implemented as the walking state measurement system 1 and the walking state measurement device 40 is illustrated, but the present invention can be realized by arbitrarily combining a plurality of computer devices. For example, in the first embodiment, the management device 20 includes the history information database 300 and the advice information database 400, and the management device 20 performs a change amount parameter calculation process (S102), a state change degree specifying process (S103), The advice information specifying process (S104) may be executed. The walking state, the state change degree, and the advice information specified by the management device 20 are transmitted to the portable terminal 30, and the portable terminal 30 may execute only the process of presenting such information (S105). Good.

  Moreover, although the sensor tile 10 measures the pressure from the sole using the pressure sensor 10a, other sensor types are used as long as information (walking pattern) regarding the user's walking can be effectively measured. be able to. For example, a walking pattern of a user walking on the sensor tile 10 may be measured using a temperature sensor, an optical sensor, or the like.

  In the personal information acquisition process (S3, S403), personal information such as the height and weight of the user is specified based on the ID information of the user acquired from the outside. However, the personal information of the user is stored in advance in the RFID tag 38, and this personal information may be read by the RFID tag reader 26. Further, the user may input personal information directly via the input device 47.

  In the standard parameter database 200, “height” and “sex” are associated with the standard parameters as personal information, but in the present invention, arbitrary data can be used as the personal information. For example, in the difference parameter calculation process (S4, S404), the standard parameter may be acquired from the standard parameter database 200 using the “age” or “weight” of the user as a key.

  In the above embodiment, the walking state, state change degree, and advice information presented to the user are referred to as “foot inclination”, “foot drag”, “body center of gravity position”, and “walking stability”. Item related. However, these data items can be arbitrarily changed by the user or the designer. For example, data items such as “walking rhythm” and “walking speed” may be analyzed and presented. Good.

  In the above embodiment, the estimation / display / improvement method related to the user's walking state is exemplified as “the physical state of the user during exercise”, but the present invention is also applicable to providing optimal advice regarding the user's running state, etc. It is. FIG. 23 is another flowchart showing details of the difference parameter calculation process (S4).

  For example, an item “walking rhythm” and a standard parameter at the time of running are added to the standard parameter database 200 of the management device 20. Then, as shown in FIG. 23, in the difference parameter calculation process (S4), the standard parameter database 200 is opened (S501) as in S21 to 23 of FIG. 7, and the standard parameters are read using the height and sex as keys ( S503). Next, it is specified from the walking tempo whether it is a walking state or a running state (S505). Here, if the “walking rhythm” standard parameter is equal to or greater than the “walking tempo” walking parameter, the “walking rhythm” standard parameter is set smaller than the “walking tempo” walking parameter while the “walking rhythm” standard parameter is set to the state parameter X. For example, the “running state” is set in the state parameter X. Next, difference parameters X11, X12, X13, and X14 are calculated by subtracting each standard parameter from each walking parameter for “foot angle”, “simultaneous contact time”, “center of gravity position”, and “center of gravity position variation coefficient”. . Then, the state parameter X and the difference parameters X11, X12, X13, X14 are returned to the main process (FIG. 10) (S507 to S515).

  With the above processing, in the main processing (FIG. 10), it is possible to determine whether the user is in a running state, which is a walking state. In the running state, it is possible to present the user's own running state to the user or provide optimum advice. In the same manner, the physical state during floor exercise or dance can be used as the “physical state during user exercise”.

  The physical condition measuring system and physical condition measuring apparatus for exercise according to the present invention measures the physical condition of the user during exercise, and allows the user to grasp and correct his / her physical condition during exercise. Can be used as etc.

1 is an overall configuration diagram of a walking state measurement system 1. FIG. 2 is a plan view for explaining a sensor tile 10. FIG. 1 is a block diagram showing an electrical configuration of a walking state measurement system 1. FIG. 4 is a flowchart showing main processing of the management device 20. It is a flowchart which shows the detail of a bed pressure distribution input process (S1). 3 is a diagram illustrating a data configuration of a sensor position table 100. FIG. It is a flowchart which shows the detail of a difference parameter calculation process (S4). It is a figure which shows the data structure of the standard parameter database. It is a flowchart which shows the detail of a walk state specific process (S5). 4 is a flowchart showing main processing of the mobile terminal 30. It is a flowchart which shows the detail of variation | change_quantity parameter calculation processing (S102). 3 is a diagram illustrating a data configuration of a history information database 300. FIG. It is a flowchart which shows the detail of a state change degree specific process (S103). It is a flowchart which shows the detail of a state change degree specific process (S103). It is a flowchart which shows the detail of advice information specific processing (S104). It is a figure which shows the data structure of the advice information database. It is a figure which shows the data structure of the advice information database. It is a figure which shows the data structure of the advice information database. It is a figure which shows the data structure of the advice information database. It is a figure which shows an example of the display mode on the display. 3 is a block diagram showing an electrical configuration of a walking state measuring device 40. FIG. 4 is a flowchart showing a main process of the walking state measuring device 40. It is another flowchart which shows the detail of a difference parameter calculation process (S4).

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Walking state measurement system 2 Management apparatus 3 Portable terminal 10 Sensor tile 21 CPU
22 RAM
23 ROM
24 HDD
25 CD-ROM drive 26 RFID tag reader 27 Input device 28 I / O interface 29 Communication interface 30 Portable terminal 31 CPU
32 RAM
33 ROM
34 HDD
35 Display 36 Speaker 37 Input device 38 RFID tag 39 Communication interface 40 Walking state measuring device 41 CPU
42 RAM
43 ROM
44 HDD
45 CD-ROM drive 46 Display 47 Input device 48 I / O interface 49 Speaker 100 Sensor position table 200 Standard parameter database 300 History information database 400 Advice information database

Claims (10)

The physical state specifying device for exercise that specifies the physical state of the user during exercise based on the measurement value output from the physical state measuring device for exercise that measures the physical state of the user during exercise, and the user A physical condition measuring system for exercise comprising a physical condition presentation device for exercise that presents the physical condition of exercise,
The physical condition specifying device during exercise is
A measurement value acquisition means for acquiring a measurement value output from the physical condition measuring apparatus during exercise;
Based on the measured value, an exercise physical condition parameter calculating means for calculating an exercise physical condition parameter indicating characteristics of the user's exercise physical condition;
Standard parameter storage means for storing standard parameters indicating characteristics of physical state during exercise in the correct physical state during exercise;
A comparison calculation parameter calculating means for comparing the physical condition parameter during exercise with the standard parameter and calculating a comparison calculation parameter indicating a comparison calculation result of both;
Based on the comparison calculation parameter, the physical state at the time of exercise for identifying the physical state at the time of exercise of the user,
An exercise body condition transmitting means for transmitting the exercise body condition specified by the exercise body condition specifying means to the exercise body condition presentation device;
The physical condition presentation device during exercise,
Exercise physical condition receiving means for receiving the exercise physical condition transmitted from the exercise physical condition specifying device;
A physical condition measuring system for exercise comprising: physical condition presenting means for exercising that presents the physical condition during exercise received by the physical condition receiving means for exercising. The physical condition specifying device during exercise is
A comparison calculation parameter transmitting means for transmitting the comparison calculation parameter to the physical condition presentation device during exercise,
The physical condition presentation device during exercise,
A comparison calculation parameter receiving means for receiving the comparison calculation parameter transmitted from the physical condition specifying device during exercise;
History information storage means for storing at least a previous physical condition parameter during exercise for the user;
A change in which a comparison parameter received by the comparison calculation parameter receiving means is compared with a previous physical condition parameter during exercise stored in the history information storage means, and a change parameter indicating a change amount between them is calculated. A quantity parameter calculating means;
State change degree specifying means for specifying a state change degree indicating a change in the physical state of the user during exercise based on the change amount parameter;
2. The physical state measurement system for exercise according to claim 1, further comprising state change degree presenting means for presenting the state change degree specified by the state change degree specifying means. The physical condition presentation device during exercise,
Advice information storage means in which at least one of the physical state during exercise and the state change degree is associated with advice information to be presented to the user;
The advice information is acquired from the advice information storage unit based on at least one of the physical state during exercise received by the physical state receiving unit during exercise and the state change degree specified by the state change degree specifying unit. Advice information acquisition means,
The physical condition measurement system for exercise according to claim 2, further comprising: advice information presenting means for presenting advice information obtained by the advice information obtaining means. The standard parameter storage means stores a plurality of the standard parameters according to height and sex,
The comparison calculation parameter calculation unit calculates the comparison calculation parameter by comparing the physical condition parameter during exercise with the standard parameter according to the height and sex of the user. 4. The physical condition measurement system for exercise according to any one of 3.   The physical state during exercise, the degree of change in state, and the advice information relate to at least one of the inclination of the foot, the drag of the foot, the position of the center of gravity of the body, and the stability of walking. The physical condition measurement system during exercise according to any one of claims 1 to 4. Physical condition measuring means for exercising to measure the physical condition of the user during exercise;
A measurement value acquisition means for acquiring a measurement value output from the physical state measurement means during exercise;
Based on the measured value, an exercise physical condition parameter calculating means for calculating an exercise physical condition parameter indicating characteristics of the user's exercise physical condition;
Standard parameter storage means for storing standard parameters indicating characteristics of physical state during exercise in the correct physical state during exercise;
A comparison calculation parameter calculation means for comparing the physical condition parameter during exercise and the standard parameter, and calculating a comparison calculation parameter indicating a comparison calculation result of both;
Based on the comparison calculation parameter, the physical state identification means during exercise for identifying the physical state during exercise of the user,
A physical condition measuring apparatus for exercise comprising: physical condition presenting means for exercising that indicates the physical condition during exercise specified by the physical condition specifying means for exercise. History information storage means for storing at least a previous physical condition parameter during exercise for the user;
A change in which a comparison parameter received by the comparison calculation parameter receiving means is compared with a previous physical condition parameter during exercise stored in the history information storage means, and a change parameter indicating a change amount between them is calculated. A quantity parameter calculating means;
State change degree specifying means for specifying a state change degree indicating a change in the physical state of the user during exercise based on the change amount parameter;
The physical condition measuring apparatus for exercise according to claim 6, further comprising state change degree presenting means for presenting the state change degree specified by the state change degree specifying means. Advice information storage means in which at least one of the physical state during exercise and the state change degree is associated with advice information to be presented to the user;
The advice information is acquired from the advice information storage unit based on at least one of the physical state during exercise specified by the physical state specifying unit during exercise and the state change degree specified by the state change degree specifying unit. Advice information acquisition means,
The physical condition measuring apparatus during exercise according to claim 7, further comprising: advice information presenting means for presenting advice information acquired by the advice information acquiring means. The standard parameter storage means stores a plurality of the standard parameters according to height and sex,
The comparison calculation parameter calculation means calculates the comparison calculation parameter by comparing the physical condition parameter during exercise with the standard parameter according to the height and sex of the user. The row state measuring device according to claim 8. The physical state during exercise, the degree of state change, and the advice information are related to at least one of foot tilt, foot drag, body center of gravity, and walking stability in the user. The physical condition measuring apparatus for exercise according to any one of claims 6 to 9.

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