JP2014131756A - Portable electronic equipment - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide portable electronic equipment capable of efficiently acquiring the trajectory of walking posture.SOLUTION: Portable electronic equipment includes: a first displacement detecting part 11 for detecting a displacement value caused by vertical movements in walking of a subject; a second displacement detecting part 12 for detecting a displacement value caused by movements or rotations in a prescribed direction in walking of the subject; a walking posture basis locus memorizing part 13 for memorizing a locus to be a basis related to a walking posture; a feature displacement point extracting part 14 for extracting as a walking timing, a prescribed feature displacement point appearing in every one step, based on the vertical displacement value of a plurality of the detected points; a locus calculating part 15 for selecting the extracted continuous walking timings, and calculating a locus produced by walking at the selected walking timing, based on a displacement value detected by the second displacement detecting part; and a walking posture determining part 16 for determining whether the calculated locus satisfies or not a basis related to a walking posture memorized by the walking posture basis locus memorizing part 13.

Description

  The present invention relates to a portable electronic device.

  In recent years, a technique for detecting the position or posture of an object to be measured such as a human body by combining an acceleration sensor and an angular velocity sensor has been proposed. For example, there is a technique for acquiring information indicating the posture of a measurement object by a six-axis sensor that includes a three-axis acceleration sensor that measures acceleration of the measurement object and a three-axis angular velocity sensor that measures angular velocity of the measurement object. .

  Moreover, even if the object to be measured rotates, the acceleration of the reference coordinate system in the 6-axis sensor is calculated from the output data of the 6-axis sensor based on the predetermined 3-axis batch rotation conversion technology. In addition, there is a technique for acquiring the position and orientation of the object to be measured.

JP 2010-32296 A International Publication No. 2008/026357 JP 2000-325329 A

  However, when the object to be measured is a part of a human body, the conventional technique using the 6-axis sensor has a problem in that it cannot acquire the locus of the posture during walking. That is, in the prior art, information on the position and posture of the body part during walking can be acquired from each output data of the 6-axis sensor, but the locus of the posture during walking cannot be acquired.

  The disclosed technology has been made in view of the above, and an object of the present invention is to provide a portable electronic device that can efficiently acquire a trajectory of a walking posture even if the object to be measured is a part of a human body. .

  In one aspect, a portable electronic device disclosed in the present application includes a display unit, a control unit, an acceleration sensor, and an angular velocity sensor that detects an angular velocity around an axis that is orthogonal to an axis at which the acceleration sensor detects acceleration. . The control unit includes a menu screen having selection items for performing form diagnosis, and a diagnosis result screen for displaying a diagnosis result including an advice menu based on an output from the acceleration sensor and the acceleration sensor after the form diagnosis is selected. And an advice screen for displaying the advice content after the advice menu is selected. The display unit displays the menu screen, the diagnosis result screen, and the advice screen.

  According to one aspect of the mobile electronic device disclosed in the present application, there is an effect that a trajectory of a walking posture can be efficiently acquired.

FIG. 1 is a functional block diagram illustrating the configuration of the mobile terminal device according to the first embodiment. FIG. 2 is a functional block diagram illustrating the configuration of the mobile terminal device according to the second embodiment. FIG. 3 is a diagram illustrating the measurement amount of the 6-axis sensor. FIG. 4 is a diagram illustrating an example of a data structure of the threshold value table for diagnosis. FIG. 5 is a diagram illustrating an example of a data structure of the diagnostic advice table. FIG. 6 is a diagram illustrating an example of data (raw data) output from the 6-axis sensor. FIG. 7 is a diagram illustrating an example of data temporarily used by the step marker extraction process. FIG. 8 is a diagram illustrating an example of data output by the step marker extraction process. FIG. 9 is a diagram illustrating an example of data output by the step marker left / right determination process. FIG. 10 is a diagram illustrating an example of calculation data (no score / form) of various movement trajectories using the walking posture trajectory amount calculation processing result. FIG. 11 is a diagram illustrating an example of calculation data (with scores and forms) of various movement trajectories using the walking posture trajectory amount calculation processing result. FIG. 12 is an explanatory diagram illustrating a specific example of step marker extraction. FIG. 13 is an explanatory diagram for explaining a specific example of step marker left / right determination. FIG. 14 is an explanatory diagram illustrating a specific example of calculating the amount of forward / backward rotation. FIG. 15 is an explanatory diagram illustrating a specific example of calculation of trunk rotation amount. FIG. 16 is an explanatory diagram illustrating a specific example of calculating the left / right rotation amount. FIG. 17 is an explanatory diagram illustrating a specific example of calculating the left / right movement amount. FIG. 18 is an explanatory diagram illustrating a specific example of calculating the vertical movement amount. FIG. 19 is an explanatory diagram for explaining a specific example of calculation of landing impact. FIG. 20 is a flowchart illustrating the procedure of the step marker extraction process according to the second embodiment. FIG. 21 is a flowchart illustrating a procedure of step marker left / right determination processing according to the second embodiment. FIG. 22 is a flowchart illustrating a procedure of a walking posture locus amount calculation process according to the second embodiment. FIG. 23 is a flowchart illustrating the procedure of the walking posture diagnosis process according to the second embodiment. FIG. 24 is a diagram illustrating an example of the mounting position of the 6-axis sensor when the mobile terminal device is a mobile phone. FIG. 25 is a diagram illustrating an example of a display screen. FIG. 26 is a diagram illustrating a computer that executes a walking trajectory calculation program.

  Embodiments of a portable electronic device disclosed in the present application will be described below in detail with reference to the drawings. In addition, this invention is not limited by the present Example.

  FIG. 1 is a functional block diagram illustrating the configuration of the mobile terminal device according to the first embodiment. As illustrated in FIG. 1, the mobile terminal device 1 includes a first displacement detection unit 11, a second displacement detection unit 12, a walking posture reference trajectory storage unit 13, a feature displacement time point extraction unit 14, a trajectory calculation unit 15, and a walking An attitude determination unit 16 is included.

  The 1st displacement detection part 11 detects the displacement value accompanying the movement of an up-down direction in a test subject's walk. The second displacement detection unit 12 detects a displacement value that accompanies movement or rotation in a predetermined direction during walking of the examinee. The walking posture reference trajectory storage unit 13 stores a reference trajectory relating to the walking posture.

  The feature displacement time point extraction unit 14 extracts a predetermined feature displacement time point that appears at every step as a walking timing based on the vertical displacement values at a plurality of time points detected by the first displacement detection unit 11. The trajectory calculation unit 15 selects successive walking timings extracted by the feature displacement time point extraction unit 14, and is generated by walking at the selected walking timing based on the displacement value detected by the second displacement detection unit 12. Calculate the trajectory.

  The walking posture determination unit 16 determines whether or not the trajectory calculated by the trajectory calculation unit 15 satisfies the reference regarding the walking posture stored by the walking posture reference trajectory storage unit 13.

  In this way, the mobile terminal device 1 extracts the time point of the predetermined feature displacement that appears at every step based on the vertical displacement value in the walking of the subject as the walking timing. For this reason, the portable terminal device 1 can acquire a displacement value associated with movement or rotation related to one step of the extracted walking timing. Therefore, the mobile terminal device 1 can acquire the displacement value related to each step of the walking timing that is continuous by walking, and can efficiently calculate the trajectory of the walking posture caused by walking based on each acquired displacement value. In addition, the mobile terminal device 1 can efficiently diagnose the walking posture of the subject by using a trajectory serving as a reference for the walking posture for comparison with the calculated walking posture trajectory.

[Configuration of Mobile Terminal Device According to Second Embodiment]
FIG. 2 is a functional block diagram illustrating the configuration of the mobile terminal device 2 according to the second embodiment. As illustrated in FIG. 2, the mobile terminal device 2 includes a wireless communication unit 21, an input unit 22, a display unit 23, a six-axis sensor 24, a control unit 25, and a storage unit 26. In the second embodiment, the mobile terminal device 2 is described as being a mobile phone. However, the mobile terminal device 2 is not limited to this as long as it is a portable terminal device.

  The control unit 25 includes a radio control unit 31, a call control unit 32, an input control unit 33, a 6-axis sensor control unit 34, a step marker extraction unit 35, a step marker left / right determination unit 36, a walking posture trajectory amount calculation unit 37, and a walking posture. A diagnosis unit 38 and a display control unit 39 are included. The walking posture trajectory amount calculation unit 37 includes a front / rear rotation amount calculation unit 37A, a trunk rotation amount calculation unit 37B, a left / right rotation amount calculation unit 37C, a left / right movement amount calculation unit 37D, a vertical movement amount calculation unit 37E, and a landing impact. A calculation unit 37F is included. The control unit 25 is, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array) or an electronic circuit such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit).

  The storage unit 26 includes a diagnostic threshold table 41, a diagnostic advice table 42, a diagnostic history table 43, and a data storage unit 44. The storage unit 26 is, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

  The wireless communication unit 21 performs wireless communication with the mobile phone network. For example, the wireless communication unit 21 is a baseband processor or the like that performs processing related to communication and telephone calls in W-CDMA (Wideband Code Division Multiple Access).

  The input unit 22 is an input device for inputting various information and operation instructions, and is, for example, a numeric keypad for inputting numbers and characters, a cursor key used for menu selection, display scrolling, and the like. The display unit 23 is an output device that outputs various information, and is, for example, a liquid crystal display or a speaker.

  The six-axis sensor 24 includes a three-axis acceleration sensor that detects acceleration in three axial directions orthogonal to each other and a three-axis angular velocity sensor (gyro sensor) that detects rotational angular velocities around the three axes orthogonal to each other. Here, the measurement amount measured by the six-axis sensor 24 will be described with reference to FIG. FIG. 3 is a diagram illustrating the measurement amount of the 6-axis sensor. As shown in FIG. 3, the mounting position of the 6-axis sensor 24 is the waist B of the subject A. When the X axis is the left and right direction of the subject A as the reference coordinate axis, the Y axis is the up and down direction of the subject A, and the Z axis is the front and back direction of the subject A, the 6-axis sensor 24 matches the coordinate axis of the own device with the reference coordinate axis. In this way, it is assumed that the subject A is attached.

  The three-axis acceleration sensor included in the six-axis sensor 24 detects acceleration in the three-axis directions orthogonal to each other. The acceleration in the X-axis direction is a displacement value that accompanies movement in the left-right direction when the subject A walks. That is, the amount of movement in the left-right direction with reference to the mounting orientation of the six-axis sensor 24 at a predetermined time point, the amount of movement in the left direction is positive, and the amount of movement in the right direction is negative. The acceleration in the Y-axis direction is a displacement value that accompanies the movement in the vertical direction when the subject A walks. That is, the amount of movement in the vertical direction based on the mounting orientation of the six-axis sensor 24 at a predetermined time point, the amount of upward movement is positive, and the amount of downward movement is negative. The acceleration in the Z-axis direction is a displacement value that accompanies movement in the front-rear direction when the subject A walks. That is, the amount of movement in the front-rear direction based on the mounting posture of the six-axis sensor 24 at a predetermined time point, the amount of movement in the front direction is positive, and the amount of movement in the rear direction is negative.

  A triaxial angular velocity sensor included in the six-axis sensor 24 detects angular velocities around these three orthogonal axes. The angular velocity around the X axis is a displacement value associated with the rotation in the front-rear direction during the walking of the subject A. That is, the rotation amount in the front-rear direction based on the mounting posture of the six-axis sensor 24 at a predetermined time point, the rotation amount in the rear direction (rising direction) is positive, and the rotation amount in the front direction (forward tilt direction) is negative. Become. The angular velocity around the Y axis is a displacement value associated with rotation in the trunk direction when the subject A walks. That is, the rotation amount in the left-right direction based on the mounting posture of the 6-axis sensor 24 at a predetermined time point, the rotation amount in the right direction is positive, and the rotation amount in the left direction is negative. The angular velocity around the Z-axis is a displacement value that accompanies rotation in the left-right direction when subject A walks. That is, the rotation amount in the left-right direction based on the mounting posture of the 6-axis sensor 24 at a predetermined time point, the rotation amount in the right direction is positive, and the rotation amount in the left direction is negative.

  Returning to FIG. 2, the wireless control unit 31 controls wireless communication by the wireless communication unit 21. The call control unit 32 controls a call related to wireless communication controlled by the wireless control unit 31.

  The input control unit 33 performs various input controls. Specifically, when the input control unit 33 acquires a walking posture diagnosis start instruction from the input unit 22, the input control unit 33 outputs a walking posture diagnosis start instruction to the 6-axis sensor control unit 34 and the step marker extraction unit 35.

  The 6-axis sensor control unit 34 acquires various data output from the 6-axis sensor 24 and accumulates the acquired various data as raw data in the data storage unit 44. Specifically, when the 6-axis sensor control unit 34 obtains a walking posture diagnosis start instruction from the input control unit 33, based on the obtained instruction, the 6-axis sensor 24 stores various data for a specified period in one second. Each predetermined sample is acquired and stored as raw data in the data storage unit 44. For example, when the specified period is 1 hour, the 6-axis sensor control unit 34 acquires 60 hours of data for one hour for each sample. The various types of data include a horizontal movement amount, a vertical movement amount, a front-rear movement amount, a front-rear rotation amount, a trunk rotation amount, and a left-right rotation amount. Various data for each time point is accumulated as raw data.

  The step marker extraction unit 35 extracts a predetermined feature time point that appears at each step as a walking timing (hereinafter referred to as “step marker”) based on the acceleration in the Y-axis direction, that is, the amount of movement in the vertical direction. Here, the step marker will be described as being one step landing time (at the time when the leg heel has landed on the ground). Specifically, the step marker extraction unit 35 refers to the movement amount in the vertical direction from the raw data stored in the data storage unit 44, and folds downward (minus) among the movement amounts in the vertical direction at a plurality of time points. Select a time point.

  Further, the step marker extraction unit 35 is configured such that the movement amount at the selected folding time point is smaller than the movement amount at the time point five samples before the folding time point, and the movement amount at the selected folding time point is the time point five samples after the folding time point. It is determined whether or not it is smaller than the movement amount. Then, if the movement amount at the selected folding time point is smaller than 5 samples before and the moving amount at the selected folding time point is smaller than after 5 samples, the step marker extracting unit 35 extracts this folding time point as a step marker. .

  Further, the step marker extraction unit 35 determines whether or not the extracted step marker is less than 250 milliseconds from the immediately preceding step marker. Then, when determining that the extracted step marker is less than 250 milliseconds from the immediately preceding step marker, the step marker extracting unit 35 determines that the step marker is not one step of the walking posture, and uses the extracted step marker as a step marker. Do not judge. Then, the step marker extraction unit 35 outputs raw data obtained by adding a step marker distinction indicating whether or not the raw data is a step marker to the step marker left / right determination unit 36.

  Note that the step marker extraction unit 35 determines the determination of one step of the walking posture using the lower limit value, but is not limited thereto, and may further determine using the upper limit value. When determining using the upper limit value, for example, the step marker extracting unit 35 determines whether the extracted step marker exceeds 1000 milliseconds from the immediately preceding step marker. Then, when determining that the extracted step marker exceeds 1000 milliseconds from the immediately preceding step marker, the step marker extracting unit 35 determines that the step marker is not one step in the walking posture, and uses the extracted step marker as the step marker. Do not judge.

  The step marker left / right determination unit 36 determines the left / right of the leg that makes one step in the step marker based on the angular velocity around the Z axis before and after the step marker, that is, the left / right direction (positive / negative sign) of the maximum rotation amount in the left / right direction. . Specifically, the step marker left / right determination unit 36 selects a step marker for determining the left / right of the leg and the step marker immediately before and after the step marker from the raw data output by the step marker extraction unit 35. Here, the step marker for determining the left and right of the leg is referred to as a left / right determination step marker. The step marker left / right determination unit 36 calculates a previous period between the left / right determination step marker and the immediately preceding step marker and a subsequent period between the left / right determination step marker and the immediately following step marker. Then, the step marker left / right determination unit 36 calculates a range from the time point of 30% in the previous period to the time point of 30% in the subsequent period as the front / rear search range centering on the left / right determination step marker.

  Further, the step marker left / right determination unit 36 reads the maximum rotation amount in the left / right direction from the raw data from the calculated front / rear search range. Further, the step marker left / right determination unit 36 determines whether or not the read maximum rotation amount is in the plus direction. Then, when determining that the read maximum rotation amount is in the plus direction, the step marker left / right determination unit 36 determines that the rotation is in the right direction, and determines that the left leg has landed. On the other hand, when determining that the read maximum rotation amount is in the minus direction, the step marker left / right determination unit 36 determines that the rotation is in the left direction and determines that the right leg has landed. Then, the step marker left / right determination unit 36 adds the left / right distinction of the leg constituting one step to the data for the step marker of the raw data, and outputs the added data to the walking posture trajectory amount calculation unit 37.

  The front / rear rotation amount calculation unit 37A selects continuous step markers, and calculates a movement locus generated by walking the selected step marker based on the angular velocity around the X axis, that is, the rotation amount in the front / rear direction. Specifically, the forward / backward rotation amount calculation unit 37A selects three successive step markers from the output data output by the step marker left / right determination unit 36. Then, the front / rear rotation amount calculation unit 37A calculates the previous period between the central step marker and the immediately preceding step marker and the subsequent period between the central step marker and the immediately following step marker. Then, the front / rear rotation amount calculation unit 37A calculates a range from the time point of the previous period 50% to the time point of the rear period 20% as the front / rear search range centering on the central step marker. Further, the front / rear rotation amount calculation unit 37A shifts the center of the step marker to the next step marker, and calculates the front / rear search range around the newly centered step marker.

  Further, the front / rear rotation amount calculation unit 37A specifies each maximum rotation amount in the backward direction (rising direction) in which the rotation amount is positive from each front / rear search range based on the rotation amount in the front / rear direction of the output data. Further, the forward / rearward rotation amount calculation unit 37A specifies the maximum rotation amount in the forward direction (forward tilt direction) in the period of the maximum rotation amount that is continuous among the specified maximum rotation amounts in the backward direction. The front / rear rotation amount calculation unit 37A then follows the time point when the rearward direction becomes the forward direction with respect to each continuous maximum rotation amount in the rearward direction (rising direction) and the maximum rotation amount in the forward direction (forward tilt direction). In this case, the absolute value of the difference between each maximum rotation amount is calculated as “awake rotation amount”. On the other hand, the forward / rearward rotation amount calculation unit 37A has a maximum backward rotation amount (rising direction) and a forward rotation amount (forward tilt direction) with respect to the maximum rotation amount in the forward direction (frontward tilt direction). In this case, the absolute value of the difference between each maximum rotation amount is calculated as “forward tilt rotation amount”.

  The trunk rotation amount calculation unit 37B selects successive step markers, and calculates a movement locus generated by walking the selected step marker based on the angular velocity around the Y axis, that is, the rotation amount in the trunk direction. Specifically, the trunk rotation amount calculation unit 37B selects three consecutive step markers from the output data output by the step marker left / right determination unit 36. Then, the trunk rotation amount calculation unit 37B calculates the previous period between the central step marker and the immediately preceding step marker and the subsequent period between the central step marker and the immediately following step marker. Then, the trunk rotation amount calculation unit 37B calculates the range from the time point of 30% in the previous period to the time point of 30% in the subsequent period as the front and rear search range around the central step marker.

  Further, the trunk rotation amount calculation unit 37B reads the maximum rotation amount in the left-right direction from the calculated front-rear search range from the output data. The trunk rotation amount calculation unit 37B determines whether or not the read maximum rotation amount is in the plus direction. Then, when determining that the read maximum rotation amount is in the plus direction, the trunk rotation amount calculation unit 37B determines that it is the maximum rotation amount in the right direction. On the other hand, when determining that the read maximum rotation amount is in the minus direction, the trunk rotation amount calculation unit 37B determines that it is the maximum rotation amount in the left direction. Further, the trunk rotation amount calculation unit 37B has a maximum rotation amount in the left direction and the right direction in a case where the time point when the maximum rotation amount in the right direction is before the time point when the maximum rotation amount in the left direction is reached. The absolute value of the difference between the rightward and leftward maximum amount of rotation is calculated as “right-side trunk rotation amount”. In addition, the trunk rotation amount calculation unit 37B has a maximum rotation amount in the left direction and the right direction after the time point when the maximum rotation amount in the right direction is the maximum rotation amount in the left direction. The absolute value of the difference between the rightward and leftward maximum rotation amounts is calculated as “left-handed trunk rotation amount”.

  The left / right rotation amount calculation unit 37C selects continuous step markers, and calculates a movement trajectory generated by walking the selected step marker based on the angular velocity around the Z axis, that is, the rotation amount in the left / right direction. Specifically, the left / right rotation amount calculation unit 37 </ b> C selects two consecutive step markers from the output data output by the step marker left / right determination unit 36. The left / right rotation amount calculation unit 37C calculates a period between the two selected step markers as a step marker range.

  Further, the left / right rotation amount calculation unit 37C reads the maximum rotation amount in the left / right direction from the calculated step marker range from the output data. The left / right rotation amount calculation unit 37C determines whether or not the read maximum rotation amount is in the plus direction. When determining that the read maximum rotation amount is in the plus direction, the left / right rotation amount calculation unit 37C determines that the left rotation amount is the maximum rotation amount in the left direction. On the other hand, when determining that the read maximum rotation amount is in the minus direction, the left / right rotation amount calculation unit 37C determines that the left rotation amount is the maximum rotation amount in the left direction. Also, the left / right rotation amount calculation unit 37C determines that the left and right maximum rotation amounts are the left when the left rotation maximum rotation amount is before the right rotation maximum amount. The absolute value of the difference between the direction and the maximum amount of rotation in the right direction is calculated as the “left direction rotation amount”. Further, the left / right rotation amount calculation unit 37C determines that the left and right maximum rotation amounts are left after the time when the left rotation amount becomes the maximum rotation amount in the right direction. The absolute value of the difference between the direction and the maximum amount of rotation in the right direction is calculated as the “right direction rotation amount”.

  The left-right movement amount calculation unit 37D selects successive step markers, and calculates a movement locus generated by walking the selected step marker based on the acceleration in the X-axis direction, that is, the movement amount in the left-right direction. Specifically, the left / right movement amount calculation unit 37D selects three successive step markers from the output data output by the step marker left / right determination unit 36. The left-right movement amount calculation unit 37D calculates a previous period between the central step marker and the immediately preceding step marker and a subsequent period between the central step marker and the immediately following step marker. Then, the left-right movement amount calculation unit 37D calculates a range from the time point of 30% in the previous period to the time point of 30% in the subsequent period as the front and rear search range around the central step marker. Also, the left / right movement amount calculation unit 37D shifts the center of the step marker to the immediately following step marker, and calculates the front / rear search range around the newly centered step marker.

  Also, the left / right movement amount calculation unit 37D reads the maximum movement amount in the left / right direction from the raw data from each front / rear search range. Further, the left / right movement amount calculation unit 37D determines whether or not the read maximum movement amount is in the plus direction. Then, when the left and right movement amount calculation unit 37D determines that the read maximum movement amount is in the plus direction, it determines that it is the maximum movement amount in the left direction. On the other hand, when determining that the read maximum movement amount is in the minus direction, the left / right movement amount calculation unit 37D determines that it is the maximum movement amount in the right direction. Further, the left-right movement amount calculation unit 37D determines that the leftward and rightward maximum movement amounts are set to the left when the leftward maximum movement amount is earlier than the rightward maximum movement amount. The absolute value of the difference between the direction and the maximum amount of movement in the right direction is calculated as the “right direction movement amount”. Also, the left / right movement amount calculation unit 37D determines that the leftward and rightward maximum movement amounts after the time when the leftward maximum movement amount is later than the rightward maximum movement amount. The absolute value of the difference between the direction and the maximum amount of movement in the right direction is calculated as the “left direction movement amount”.

  The vertical movement amount calculation unit 37E selects successive step markers, and calculates a movement trajectory generated by walking the selected step marker based on the acceleration in the Y-axis direction, that is, the vertical movement amount. Specifically, the vertical movement amount calculation unit 37E selects two consecutive step markers from the output data output by the step marker left / right determination unit 36. Then, the vertical movement amount calculation unit 37E calculates a period between the two selected step markers as a step marker range.

  Further, the vertical movement amount calculation unit 37E reads the maximum upward movement amount from the calculated step marker range from the output data. In addition, the vertical movement amount calculation unit 37E determines that the continuous downward and upward maximum movement amounts are lower when the time point when the downward maximum movement amount is before the time point when the upward maximum movement amount is reached. The absolute value of the difference between the direction and the maximum amount of upward movement is calculated as the “upward movement amount”. In addition, the vertical movement amount calculation unit 37E determines that the downward maximum and downward maximum movement amounts are lower than the time when the downward maximum movement amount is later than the upward maximum movement amount. The absolute value of the difference between the direction and the maximum amount of upward movement is calculated as the “downward movement amount”.

  The landing impact calculation unit 37F selects successive step markers, and calculates the landing impact generated by walking the selected step marker based on the acceleration in the Y-axis direction, that is, the amount of movement in the vertical direction. Specifically, the landing impact calculation unit 37F selects two consecutive step markers from the output data output by the step marker left / right determination unit 36. Then, the landing impact calculator 37F calculates a period between the two selected step markers as a step marker range.

  The landing impact calculation unit 37F reads the maximum amount of vertical movement from the calculated step marker range from the output data. The landing impact calculation unit 37F calculates the absolute value of the difference between the read vertical movement amounts in the vertical direction as “landing impact”.

  The walking posture diagnosis unit 38 diagnoses the walking posture based on various movement trajectories calculated by the walking posture trajectory amount calculation unit 37. Specifically, the walking posture diagnosis unit 38 acquires various movement tracks calculated by the walking posture track amount calculation unit 37. In addition, the walking posture diagnosis unit 38 calculates an average value for each movement trajectory using the acquired various movement trajectories. For example, the walking posture diagnosis unit 38 acquires a plurality of rightward rotation amounts for a specified period calculated by the left / right rotation amount calculation unit 37C, and calculates an average value of the rightward rotation amounts. The calculation results of these various movement trajectories are referred to as “calculation data of various movement trajectories”.

  In addition, the walking posture diagnosis unit 38 determines whether or not various movement trajectories satisfy the criteria regarding the walking posture stored in the diagnostic threshold table 41. Here, the threshold value table for diagnosis 41 will be described with reference to FIG. FIG. 4 is a diagram illustrating an example of a data structure of the threshold value table for diagnosis. As shown in FIG. 4, the diagnostic threshold value table 41 stores a threshold value of a movement trajectory serving as a reference regarding the walking posture. For example, the diagnostic threshold value table 41 stores an upper limit value 41a and a lower limit value 41b serving as a reference for the average value of the rightward movement amount. Moreover, the threshold value table 41 for diagnosis memorize | stores the upper limit 41c used as a reference | standard and the lower limit 41d about the average value of the left direction movement amount. In the example of FIG. 4, the average of the amount of horizontal movement, the average of the upward movement of the left and right legs, and the average of the amount of rotation of the hips of the left and right legs are stored, but the present invention is not limited to this. Other thresholds of the movement trajectory may be stored, and the walking posture diagnosis can be further enhanced.

  Returning to FIG. 2, more specifically, the walking posture diagnosis unit 38 calculates the average value of the rightward movement amount when the movement locus is, for example, the rightward movement amount calculated by the left / right movement amount calculation unit 37D. calculate. Then, the walking posture diagnosis unit 38 has an average value of the rightward movement amount that is equal to or more than the lower limit value 41b of the average rightward movement amount stored in the diagnostic threshold table 41 and an upper limit value of the average rightward movement amount. When it is 41a or less, it determines with satisfy | filling the reference | standard regarding a walking posture. On the other hand, when the average value of the rightward movement amount is less than the lower limit value 41b or the upper limit value 41a of the average rightward movement amount stored in the diagnostic threshold table 41, the walking posture diagnosis unit 38 It is determined that the criteria regarding is not satisfied. Then, the walking posture diagnosis unit 38 calculates a score obtained from the average value of the rightward movement amount based on the determination result. For example, when the walking posture diagnosing unit 38 satisfies the criteria related to the walking posture, the score assigned to the rightward movement amount among the points assigned by the various movement trajectories is set as a full score. On the other hand, when the walking posture diagnosis unit 38 does not satisfy the criteria regarding the walking posture, the average value of the rightward movement amount from the score assigned to the rightward movement amount among the points assigned by the various movement trajectories. The value corresponding to the difference value between the upper limit value 41a or the lower limit value 41b is deducted. Then, the walking posture diagnostic unit 38 calculates each score for various movement trajectories, and adds all the calculated scores. In addition, it is good also as a maximum to 100 points if all the points assigned by various movement locus | trajectories are added. Further, each score assigned by various movement trajectories may be a score weighted according to the importance of the various movement trajectories, and the walking posture can be diagnosed more accurately.

  In addition, the walking posture diagnosis unit 38 creates diagnostic form (walking posture) information based on the comparison results with the data stored in the diagnostic threshold table 41 for various movement trajectories. The diagnosis form (walking posture) information includes, for example, a diagnosis point related to the form and an identification number in a diagnosis advice table 42 described later. Further, the walking posture diagnosis unit 38 combines the diagnosis form (walking posture) information and the score with “calculation data of various movement trajectories” and outputs the combined information to the display control unit 39.

  The display control unit 39 displays the diagnosis result diagnosed by the walking posture diagnosis unit 38 on the display unit 23. Specifically, the display control unit 39 acquires “calculation data of various movement trajectories” obtained by combining diagnostic form (walking posture) information and scores from the walking posture diagnosis unit 38. Further, the display control unit 39 edits “calculation data of various movement trajectories” based on the data stored in the diagnostic advice table 42 and displays the edited data on the display unit 23. Further, the display control unit 39 stores “calculation data of various movement trajectories” and advice contents in the diagnosis history table 43.

  Here, the diagnostic advice table 42 will be described with reference to FIG. FIG. 5 is a diagram illustrating an example of a data structure of the diagnostic advice table. As shown in FIG. 5, the diagnostic advice table 42 stores a measurement point 42b, a message content 42c, a photo content content 42d, and an image id 42e in association with each other for each identification number 42a. The identification number 42a is an identification number of diagnostic advice and corresponds to the identification number in the diagnostic form (walking posture) information. The measurement point 42b is an advice point, and a diagnosis point related to the form in the diagnosis form (walking posture) information is embedded. The message content 42c is the content of one-point advice.

  Next, the structure of raw data stored in the data storage unit 44 by the six-axis sensor control unit 34 will be described with reference to FIG. FIG. 6 is a diagram illustrating an example of data (raw data) output from the 6-axis sensor 24. As shown in FIG. 6, the raw data includes the rotation amount a2 in the front-rear direction, the rotation amount a3 in the trunk direction, the rotation amount a4 in the left-right direction, and the left-right direction for each date a1 detected by the six-axis sensor 24. The movement amount a5 in the direction, the movement amount a6 in the vertical direction, and the movement amount a7 in the front-rear direction are associated with each other and stored in one row.

  In the example of FIG. 6, as shown in the L1 line, the rotation amount a2 in the front-rear direction is “−33”, the rotation amount a3 in the trunk direction is “16”, and the rotation in the left-right direction is 2010/4/13 15:09. The amount a4 is “48”, and the horizontal movement amount a5 is “112”. Further, the vertical movement amount a6 is “−600”, and the front-rear movement amount a7 is “−736”. The start date / time a1 is the time when a walking posture execution instruction is given. The unit of rotation amount is expressed in degrees / second (degree / second), and the unit of movement amount is expressed in millimeters (mm).

  Next, the structure of data temporarily used by the step marker extraction process of the step marker extraction unit 35 will be described with reference to FIG. FIG. 7 is a diagram illustrating an example of data temporarily used by the step marker extraction process. As shown in FIG. 7, the data includes, for each index b1, a horizontal movement amount b2, a vertical movement amount b3, a front-rear movement amount b4, a front-rear rotation amount b5, and a trunk direction rotation amount b6. The horizontal rotation amount b7, each element value b8 of the rotation matrix representing the attitude of the mobile phone, each movement amount, each rotation amount filtering b9, etc. are stored in one line in association with each other. The index b1 corresponds to, for example, each date / time a1 included in the raw data, and “0” is the diagnosis start time.

  Next, the structure of the output data output to the step marker left / right determination unit 36 by the step marker extraction process of the step marker extraction unit 35 will be described with reference to FIG. FIG. 8 is a diagram illustrating an example of data output by the step marker extraction process. As shown in FIG. 8, the output data includes the amount of rotation a2 in the front-rear direction, the amount of rotation a3 in the trunk direction, the amount of rotation a4 in the left-right direction, the amount of movement a5 in the left-right direction, and the up-down direction. The amount of movement a6, the amount of movement a7 in the front-rear direction, and the step marker distinction c1 are stored in one row in association with each other. That is, the output data is data obtained by adding a step marker distinction c1 indicating whether or not each row of raw data is a step marker. In the example of FIG. 8, “111” indicating a step marker is added as shown in the L2 line. Further, “000” indicating that it is not a step marker is added to the lines other than the L2 line.

  Next, the structure of output data output to the walking posture trajectory amount calculation unit 37 by the step marker left / right determination process of the step marker left / right determination unit 36 will be described with reference to FIG. FIG. 9 is a diagram illustrating an example of data output by the step marker left / right determination process. As shown in FIG. 9, the output data includes the amount of rotation a2 in the front-rear direction, the amount of rotation a3 in the trunk direction, the amount of rotation a4 in the left-right direction, the amount of movement a5 in the left-right direction, and the up-down direction. And the movement amount a7 in the front-rear direction are stored in association with each other. The output data stores a step marker distinction c1 and a left leg landing / right leg landing distinction d1 in association with each other for each line. That is, the output data is data obtained by adding a left / right distinction d1 of the leg that makes one step for each row of the raw data.

  In the example of FIG. 9, as shown in the L3 line, “111” indicating the left leg landing is added to the left / right distinction d1. Further, as shown in the L4 line, “222” indicating the right leg landing is added to the left / right distinction d1. In lines L3 to L4, “111” indicating left landing is added to the left / right distinction d1. That is, this period represents a movement locus generated by one step of the left leg. In addition, after L4, “222” indicating the right leg landing is added to the left / right distinction d1. That is, this period represents a movement locus generated by one step of the right leg.

  Next, the structure of calculation data obtained by calculating various movement trajectories using the walking posture trajectory amount calculation result by the walking posture diagnosis unit 38 will be described with reference to FIGS. 10 and 11. FIG. 10 is an example of the case where there is no score and diagnostic form among the calculation data of various movement trajectories using the walking posture trajectory amount calculation processing result, and FIG. 11 is an example of the case where there is a score and diagnostic form.

  As shown in FIG. 10, the calculated data includes an average rotation amount in the right / left direction, an average movement amount in the right / left direction, a difference in the left / right rotation amount, and a difference in the left / right movement amount. The calculated data also includes the average of the amount of rise and forward tilt of the waist when landing on the right leg, the average of the amount of rise and forward tilt of the waist when landing on the left leg, the difference in the amount of rise of the waist, the forward tilt of the waist There is a difference in quantity. The calculated data includes the average of the upward movement amount at the right leg landing, the average of the downward movement amount at the right leg landing, the average of the upward movement amount at the left leg landing, and the left leg landing. There is an average of the downward movement amount, a difference in the upward movement amount, and a difference in the downward movement amount. The calculated data includes an average of the hip trunk rotation amount at the right leg landing, an average of the hip trunk rotation amount at the left leg landing, and a difference in the hip trunk rotation amount. Further, the calculated data includes an average of the impact degree of the right leg, an average of the impact degree of the left leg, and a difference between the impact degrees of the left and right.

  Also, as shown in FIG. 11, the calculated data is data obtained by adding a calculation range e1, an advice result e2, and an advice score e3 to the calculation data of various movement trajectories shown in FIG. The calculation range e1 indicates an attribute indicating which range of raw data is used for calculation. For example, “total” indicating an entire period range, and “start” indicating a predetermined period range from the start of diagnosis among all the period ranges. There is an “intermediate” indicating an intermediate range. The advice result e2 indicates diagnostic form (walking posture) information. The advice score e3 indicates a score calculated based on calculation data of various movement trajectories. The calculation range e1 may be instructed as a parameter for instructing diagnosis start.

  In the example of FIG. 11, the calculation range e1 represents “total” indicating that the data of the entire period range of the raw data is used. The advice result e2 indicates “Bad left / right balance (2)”. The advice score e3 represents “52.2” points. The numerical value in parentheses of the advice result e2 is an identification number in the diagnostic advice table 42.

[Specific example of step marker extraction]
Next, a specific example of step marker extraction by the step marker extraction unit 35 will be described with reference to FIG. FIG. 12 is an explanatory diagram illustrating a specific example of step marker extraction. 12A is a graph showing various rotation amounts for each time, FIG. 12B is a graph showing various movement amounts for each time, and FIG. 12C shows a step marker extraction method. It is a part of the graph to show.

  In FIG. 12A, the horizontal axis indicates a time axis, and the vertical axis indicates various rotation amounts (unit: degree) represented from raw data. Of the various rotation amounts, the front-rear rotation amount gcx represented by the X axis of the reference coordinate axis is indicated by a broken line, the trunk rotation amount gcy represented by the Y axis is indicated by a solid line, and the left-right rotation amount gcz represented by the Z axis is It shall be indicated by a one-dot chain line.

  In FIG. 12B, the horizontal axis represents a time axis, and the vertical axis represents various movement amounts (unit: mm) represented from raw data. Of the various movement amounts, the left-right movement amount gax represented in the X-axis direction of the reference coordinate axis is indicated by a broken line, the vertical movement amount gay represented by the Y-axis is indicated by a solid line, and the front-rear movement amount gaz represented by the Z-axis is It shall be indicated by a one-dot chain line. The step marker extraction by the step marker extraction unit 35 uses the vertical movement amount “gay” among various rotation amounts and various movement amounts. Of this vertical movement amount, the upward movement amount is positive, and the downward movement amount is negative. In addition, the reference | standard of the moving amount | distance of an up-down direction is based on the mounting attitude | position of the mobile telephone in which the 6-axis sensor 24 at the time of a walking attitude | position diagnosis start is mounted, for example.

  The step marker extraction unit 35 refers to the up / down movement amount “gay” and selects a turn-back point in the minus direction. Here, the step marker extraction unit 35 selects the time points indicated by y0 to y9 as the folding time points.

  As shown in FIG. 12C, it is determined whether or not the turning point is a step marker. That is, the step marker extraction unit 35 refers to the movement amount before 5 samples and the movement amount after 5 samples from the movement amount at the selected folding time point. Then, the step marker extraction unit 35 determines whether or not the movement amount at the time of folding is smaller than the movement amount before 5 samples and the movement amount at the time of folding is smaller than the movement amount after 5 samples. Then, when the amount of movement at the time of folding is smaller than the amount of movement before 5 samples and the amount of movement at the time of folding is smaller than after 5 samples, the step marker extraction unit 35 extracts this time of folding as a step marker.

[Specific example of step marker left / right judgment]
Next, a specific example of step marker left / right determination by the step marker left / right determination unit 36 will be described with reference to FIG. FIG. 13 is an explanatory diagram for explaining a specific example of step marker left / right determination. The step marker left / right determination by the step marker left / right determination unit 36 uses a left / right rotation amount gcz among various rotation amounts and various movement amounts. Of the left / right rotation amount gcz, the right rotation amount is positive and the left rotation amount is negative. Note that the reference for the amount of rotation in the left-right direction is based on, for example, the mounting posture of the mobile phone on which the 6-axis sensor 24 is mounted when the walking posture diagnosis is started.

  The step marker left / right determination unit 36 selects a step marker (left / right determination step marker) for determining the left / right of the leg, and a step marker immediately before and after the step marker. Here, the left / right determination step marker is s2, and the step markers immediately before and after this step marker are s1 and s3, respectively. Then, the step marker left / right determination unit 36 calculates the previous period from s1 to s2 and the subsequent period from s2 to s3, and sets the range from the time point of 30% in the previous period to the time point of 30% in the subsequent period centering on s2. Calculate as the search range before and after. The left and right of the leg making one step in the left / right determination step marker s2 are determined within the front / rear search range centered on the left / right determination step marker s2.

  Then, the step marker left / right determination unit 36 selects the maximum rotation amount in the left / right direction from the front / rear search range, and determines whether or not the selected maximum rotation amount is in the plus direction. Then, when determining that the maximum rotation amount is in the plus direction, the step marker left / right determination unit 36 determines that the rotation is in the right direction and determines that the left leg has landed. Here, the left-right maximum rotation amount c1 is selected from the front-rear search range centered on the left-right determination step marker s2, and it is determined that the left leg has landed because c1 is in the plus direction.

  On the other hand, when determining that the maximum rotation amount is in the minus direction, the step marker left / right determination unit 36 determines that the rotation is in the left direction and determines that the right leg has landed. For example, when the left / right determination step marker is s5, the maximum rotation amount c2 in the left / right direction is selected from the similarly calculated front / rear search range, and the right leg landing is determined because c2 is in the minus direction.

[Specific example of calculation of front / rear rotation amount]
Next, a specific example of calculating the front / rear rotation amount by the front / rear rotation amount calculation unit 37A will be described with reference to FIG. FIG. 14 is an explanatory diagram illustrating a specific example of calculating the amount of forward / backward rotation. The front / rear rotation amount calculation by the front / rear rotation amount calculation unit 37A uses the front / rear rotation amount gcx among various rotation amounts and various movement amounts. Of this forward / backward rotational amount gcx, the rotational amount in the rear direction (rising direction) is positive, and the rotational amount in the forward direction (forward tilt direction) is negative. Note that the reference for the amount of rotation in the front-rear direction is based on, for example, the mounting posture of the mobile phone on which the 6-axis sensor 24 is mounted at the start of the walking posture diagnosis.

  The front / rear rotation amount calculation unit 37A selects three continuous step markers. Then, the front / rear rotation amount calculation unit 37A calculates the previous period between the central step marker and the immediately preceding step marker and the subsequent period between the central step marker and the immediately following step marker. Then, the front / rear rotation amount calculation unit 37A calculates a range from the time point of the previous period 50% to the time point of the rear period 20% as the front / rear search range centering on the central step marker. For example, when the central step marker is s11, the front / rear search range is calculated using the immediately preceding step marker s10 and the immediately following step marker s12.

  Then, the front / rear rotation amount calculation unit 37A specifies the plus maximum rotation amount from the front / rear search range. Here, the time points d1, d2, and d3 are specified as positive maximum rotation amounts. Then, the front / rear rotation amount calculation unit 37A specifies a negative maximum rotation amount from a period in which the maximum rotation amount continues among the positive maximum rotation amounts. Here, the time point d5 from the d1 and d2 periods and the time point d6 from the d2 and d3 periods are specified as negative maximum rotation amounts. Then, the front / rear rotation amount calculation unit 37A determines the absolute value of the difference between the maximum rotation amounts when the positive time and the negative maximum rotation amount are after the time when the positive time is negative. Calculated as “amount”. For example, the “wake-up rotation amount” is an absolute value of the difference between the negative maximum rotation amount at the time point d6 and the positive maximum rotation amount at the time point d3.

  On the other hand, the forward / backward rotation amount calculation unit 37A determines the absolute value of the difference between the maximum rotation amounts when the positive time and the negative maximum rotation amount are before the time when the positive time is negative. Calculated as “rotation amount”. For example, the “forward rotation amount” is an absolute value of a difference between the maximum rotation amount at the time point d1 and the maximum rotation amount at the time point d5.

[Specific example of calculation of trunk rotation]
Next, a specific example of trunk rotation amount calculation by the trunk rotation amount calculation unit 37B will be described with reference to FIG. FIG. 15 is an explanatory diagram illustrating a specific example of calculation of trunk rotation amount. The trunk rotation amount calculation by the trunk rotation amount calculation unit 37B uses the trunk rotation amount gcy among various rotation amounts and various movement amounts. Of the trunk rotation amount gcy, the rotation amount in the right direction is positive, and the rotation amount in the left direction is negative. The reference for the rotation amount in the trunk direction is based on, for example, the mounting posture of the mobile phone on which the 6-axis sensor 24 is mounted at the start of the walking posture diagnosis. Further, the calculation method of the front / rear search range is the same as that of the step marker left / right determination unit 36, and thus the description thereof is omitted. In the example of FIG. 15, when the central step marker is s21, the front / rear search range is calculated using the immediately preceding step marker s20 and the immediately following step marker s22.

  After calculating the front-rear search range, the trunk rotation amount calculation unit 37 </ b> B specifies a turn-back point of each trunk rotation amount from each front-rear search range. That is, the trunk rotation amount calculation unit 37B specifies a positive maximum rotation amount or a negative maximum rotation amount from the front-rear search range. Here, the time point e1 and the time point e3 are specified as a positive maximum rotation amount, and the time point e2 is specified as a negative maximum rotation amount. Then, the trunk rotation amount calculation unit 37B calculates the absolute value of the difference between each maximum rotation amount when the positive time and the negative maximum rotation amount are after the time when the positive time is negative. Calculated as “directional trunk rotation amount”. For example, the “left-handed trunk rotation amount” is an absolute value of a difference between the negative maximum rotation amount at the time point e2 and the positive maximum rotation amount at the time point e3.

  On the other hand, the trunk rotation amount calculation unit 37B calculates the absolute value of the difference between each maximum rotation amount when the positive time point is before the time point when the positive time point is negative. Calculated as “directional trunk rotation amount”. For example, the “rightward trunk rotation amount” is an absolute value of a difference between the negative maximum rotation amount at the time point e2 and the positive maximum rotation amount at the time point e1.

[Specific example of left / right rotation amount calculation]
Next, a specific example of the left / right rotation amount calculation by the left / right rotation amount calculation unit 37C will be described with reference to FIG. FIG. 16 is an explanatory diagram illustrating a specific example of calculating the left / right rotation amount. The left / right rotation amount calculation by the left / right rotation amount calculation unit 37C uses the left / right rotation amount gcz among various rotation amounts and various movement amounts. Of the left / right rotation amount gcz, the right rotation amount is positive and the left rotation amount is negative. Note that the reference for the amount of rotation in the left-right direction is based on, for example, the mounting posture of the mobile phone on which the 6-axis sensor 24 is mounted when the walking posture diagnosis is started.

  The left / right rotation amount calculation unit 37C selects continuous step markers, and calculates a step marker range between the two selected step markers. Then, the left / right rotation amount calculation unit 37 </ b> C specifies the time point at which the respective left / right rotation amount is maximum from each step marker range. That is, the left / right rotation amount calculation unit 37C specifies a positive maximum rotation amount or a negative maximum rotation amount from the step marker range. Here, the time point f1 and the time point f3 are specified as positive maximum rotation amounts, and the time point f2 and the time point f4 are specified as negative maximum rotation amounts. Then, the left and right rotation amount calculation unit 37C calculates the absolute value of the difference between the maximum rotation amounts when the positive time and the negative maximum rotation amount are after the time when the positive time is negative. Calculated as “rotation amount”. For example, the “left rotation amount” is an absolute value of the difference between the negative maximum rotation amount at the time point f2 and the positive maximum rotation amount at the time point f3.

  On the other hand, the left and right rotation amount calculation unit 37C calculates the absolute value of the difference between the maximum rotation amounts in the “rightward direction” when the positive time point is before the time point when the positive time point is negative. Calculated as “rotation amount”. For example, the “rightward rotation amount” is an absolute value of a difference between the negative maximum rotation amount at the time point f2 and the positive maximum rotation amount at the time point f1.

[Specific example of left / right movement amount calculation]
Next, a specific example of the left / right movement amount calculation by the left / right movement amount calculation unit 37D will be described with reference to FIG. FIG. 17 is an explanatory diagram illustrating a specific example of calculating the left / right movement amount. The left / right movement amount calculation by the left / right movement amount calculation unit 37D uses the left / right movement amount gax among various rotation amounts and various movement amounts. Of the left / right movement amount gax, the movement amount in the left direction is positive, and the movement amount in the right direction is negative. In addition, the reference | standard of the moving amount | distance in the left-right direction is based on the mounting attitude | position of the mobile telephone in which the 6-axis sensor 24 at the time of a walk attitude | position diagnosis start is mounted, for example. Further, the calculation method of the front / rear search range is the same as that of the step marker left / right determination unit 36, and thus the description thereof is omitted.

  After calculating the front / rear search range, the left / right movement amount calculation unit 37D specifies the return point of each left / right movement amount from each front / rear search range. That is, the left / right movement amount calculation unit 37D specifies a positive maximum movement amount or a negative maximum movement amount from the front / rear search range. Here, the time point g1 and the time point g3 are specified as a positive maximum movement amount, and the time point g2 is specified as a negative maximum movement amount. Then, the left and right movement amount calculation unit 37D calculates the absolute value of the difference between the maximum movement amounts when the positive point and the negative maximum movement amount are after the point when the plus point is negative. Calculated as “movement amount”. For example, the “leftward movement amount” is an absolute value of a difference between the negative maximum movement amount at the time point g2 and the positive maximum movement amount at the time point g3.

  On the other hand, when the positive and negative maximum movement amounts are before the negative point in time, the right and left movement amount calculation unit 37D calculates the absolute value of the difference between the maximum rotation amounts as “right direction”. Calculated as “movement amount”. For example, the “rightward movement amount” is an absolute value of a difference between the negative maximum movement amount at the time point g2 and the positive maximum movement amount at the time point g1.

[Specific example of vertical movement calculation]
Next, a specific example of the vertical movement amount calculation by the vertical movement amount calculation unit 37E will be described with reference to FIG. FIG. 18 is an explanatory diagram illustrating a specific example of calculating the vertical movement amount. The vertical movement amount calculation by the vertical movement amount calculation unit 37E uses the vertical movement amount “gay” among various rotation amounts and various movement amounts. Of this vertical movement amount, the upward movement amount is positive, and the downward movement amount is negative. In addition, the reference | standard of the moving amount | distance of an up-down direction is based on the mounting attitude | position of the mobile telephone in which the 6-axis sensor 24 at the time of a walking attitude | position diagnosis start is mounted, for example.

  The vertical movement amount calculation unit 37E selects continuous step markers, and calculates a step marker range between the two selected step markers. Then, the vertical movement amount calculation unit 37E specifies a step marker that has already been extracted in order to specify the point in time when the negative maximum movement amount is reached. Here, the time point is h1, the time point h3, and the time point h5.

  Then, the vertical movement amount calculation unit 37E specifies a positive maximum movement amount from the step marker range. Here, the time point is h2 and the time point h4. The vertical movement amount calculation unit 37E then sets the maximum movement amount for each of the maximum positive movement amount and the negative movement amount when the negative maximum movement amount is before the positive maximum movement amount. The absolute value of the difference is calculated as “upward movement amount”. For example, the “upward movement amount” is an absolute value of a difference between the negative maximum movement amount at the time point h1 and the positive maximum movement amount at the time point h2.

  On the other hand, the vertical movement amount calculation unit 37E, for the continuous positive and negative maximum movement amount, when the time point when the negative maximum movement amount is later than the time point when the positive maximum movement amount is reached, The absolute value of the difference is calculated as “downward movement amount”. For example, the “downward movement amount” is an absolute value of the difference between the positive maximum movement amount at the time point h2 and the negative maximum movement amount at the time point h3.

[Specific example of calculation of impact at landing]
Next, a specific example of the landing impact calculation by the landing impact calculation unit 37F will be described with reference to FIG. FIG. 19 is an explanatory diagram for explaining a specific example of calculation of landing impact. The landing impact calculation by the landing impact calculation unit 37F uses the vertical movement amount gay among various rotation amounts and various movement amounts. Of this vertical movement amount, the upward movement amount is positive, and the downward movement amount is negative. In addition, the reference | standard of the moving amount | distance of an up-down direction is based on the mounting attitude | position of the mobile telephone in which the 6-axis sensor 24 at the time of a walking attitude | position diagnosis start is mounted, for example.

The landing impact calculation unit 37F selects successive step markers, and calculates a step marker range between the two selected step markers. The landing impact calculation unit 37F
The maximum amount of vertical movement is specified from the step marker range. For example, the time point i1 within the step marker range is specified as the maximum upward movement amount, and the time point i2 within the step marker range is specified as the maximum downward movement amount. Then, the landing impact calculation unit 37F calculates the absolute value of the difference between the continuous maximum movement amounts in the vertical direction as “landing impact”. For example, “impact at landing” is the absolute value of the difference between the maximum upward movement amount at the time point i1 and the downward maximum movement amount at the time point i2.

[Procedure of walking posture diagnosis processing according to Embodiment 2]
Next, the procedure of the walking posture diagnosis process according to the second embodiment will be described with reference to FIGS. FIG. 20 is a flowchart illustrating the procedure of the step marker extraction process according to the second embodiment.

  First, the input control unit 33 determines whether there is a walking posture diagnosis start instruction (step S11). And when it determines with there being no diagnosis start instruction | indication of a walking posture (step S11 No), in order to wait until there exists an instruction | indication, it transfers to step S11. On the other hand, when it is determined that there is an instruction to start diagnosis of walking posture (step S11 Yes), the 6-axis sensor control unit 34 initializes the 6-axis sensor 24 (step S12). That is, the 6-axis sensor control unit 34 initializes the acceleration sensor and the angular velocity (gyro) sensor that constitute the 6-axis sensor 24.

  Then, the 6-axis sensor control unit 34 acquires all the various data detected by the acceleration sensor and the various data detected by the angular velocity sensor based on the series of walking based on the walking posture diagnosis start instruction (step) S13). For example, the 6-axis sensor control unit 34 acquires various data for 1 hour from the 6-axis sensor 24 by 60 samples per second. Then, the 6-axis sensor control unit 34 calculates the vertical movement amount from the output value of the Y-axis of the acceleration sensor that constitutes the 6-axis sensor 24 (step S14). The 6-axis sensor control unit 34 includes data of the calculated vertical movement amount, left-right movement amount, front-rear movement amount, front-rear rotation amount, trunk rotation amount, and left-right rotation amount as various data from the 6-axis sensor 24. It is good as a thing. Then, the 6-axis sensor control unit 34 accumulates these various data as raw data in the data storage unit 44.

  Subsequently, the step marker extraction unit 35 refers to the amount of vertical movement at a plurality of time points, and specifies a downward (minus) turn-back time point (step S15). Then, the step marker extraction unit 35 specifies a time point five samples before the specified turn-back time (step S16) and specifies a time point five samples after the turn-back time (step S17).

  Subsequently, the step marker extraction unit 35 determines whether or not the movement amount at the specified folding time point is smaller than the movement amount at the time point five samples before and the movement amount at the specified folding time point is smaller than the movement amount at the time point five samples later. Is determined (step S18). If the movement amount at the turn-back time is equal to or larger than the movement amount five samples before, or the movement amount at the turn-back time is equal to or larger than the movement amount after five samples (No in step S18), it is determined that the turn-back time is not a step marker. Migrate to

  On the other hand, if the amount of movement at the time of folding is smaller than the amount of movement before 5 samples and the amount of movement at the time of folding is smaller than the amount of movement after 5 samples (step S18 Yes), the step marker extraction unit 35 Extract as

  Further, the step marker extraction unit 35 determines whether or not the extracted step marker is less than 250 ms from the immediately preceding step marker (step S19). If the extracted step marker is less than 250 ms from the immediately preceding step marker (Yes in step S19), the step marker extracting unit 35 determines that it is not one step of the walking posture, and does not determine the extracted step marker as a step marker. Then, the step marker extraction unit 35 proceeds to step S15.

  On the other hand, when the extracted step marker is not less than 250 ms from the immediately preceding step marker (No in step S19), the step marker extracting unit 35 sets the discrimination as the step marker in the raw data (step S20), and performs the step marker left / right determination process. Transition.

  Next, the procedure of the step marker left / right determination process will be described with reference to FIG. FIG. 21 is a flowchart showing a procedure of step marker left / right determination processing.

  First, the step marker left / right determination unit 36 refers to a front / rear search range of 30% before and after the step marker from the raw data (step S31), and the maximum output direction of the Z-axis of the angular velocity (gyro) sensor from the front / rear search range. Is read (step S32). That is, the step marker left / right determination unit 36 reads the maximum rotation amount in the left / right direction from the front / rear search range.

  Subsequently, the step marker left / right determination unit 36 determines whether or not the read maximum output direction is the plus direction (step S33). When the maximum output direction is the plus direction (Yes at Step S33), the step marker left / right determination unit 36 determines that the landing point is the “left leg” because the rotation is in the right direction (Step S34). On the other hand, when the maximum output direction is the minus direction (No in step S33), the step marker left / right determination unit 36 determines that the landing point of the “right leg” is reached because the rotation is a left rotation (step S35).

  Subsequently, the step marker left / right determination unit 36 determines whether or not the next step marker exists (step S36). And when the next step marker exists (step S36 Yes), it transfers to step S15. On the other hand, when the next step marker does not exist (step S36 No), the step marker left / right determination unit 36 adds the left / right distinction of the leg constituting one step to the data for the step marker of the raw data, and walks the added data. The result is output to the posture trajectory calculation unit 37. Then, the step marker left / right determination unit 36 proceeds to a walking posture trajectory amount calculation process.

  Next, the procedure of the walking posture locus amount calculation process will be described with reference to FIG. FIG. 22 is a flowchart showing the procedure of the walking posture trajectory amount calculation process.

  First, the front / rear rotation amount calculation unit 37A refers to the front / rear search range of 50% before and 20% after the step marker from the output data output by the step marker left / right determination unit 36 (step S41). Then, the front-rear rotation amount calculation unit 37A specifies the maximum output point of the X-axis of the angular velocity (gyro) sensor from the front-rear search range (step S42). That is, the front / rear rotation amount calculation unit 37A specifies the maximum rearward rotation amount (a rising direction) in which the front / rear rotation amount is positive from the front / rear search range.

  Subsequently, the front / rear rotation amount calculation unit 37A specifies a minimum value between consecutive maximum output points (step S43). That is, the front-rear rotation amount calculation unit 37A specifies the maximum rotation amount in the forward direction (forward tilt direction) in the period of the maximum rotation amount that is continuous among the specified maximum rotation amounts in the rearward direction. Then, when the time point of the maximum output point is after the time point of the minimum value, the front-rear rotation amount calculation unit 37A calculates the absolute value of the difference in rotation amount at each time point as the “wake-up rotation amount” (step S44). .

  Then, when the time point of the maximum output point is before the time point of the minimum value, the front-rear rotation amount calculation unit 37A calculates the absolute value of the difference in rotation amount at each time point as the “forward tilt rotation amount” (step S45). ). Then, the forward / rearward rotation amount calculation unit 37A outputs the calculated “wake up rotation amount” as “waist rise amount” and the calculated “forward tilt rotation amount” as “waist forward tilt amount” (step S46).

  Next, the trunk rotation amount calculation unit 37B refers to the front / rear search range of 30% before and after the step marker from the output data output by the step marker left / right determination unit 36 (step S51). Then, the trunk rotation amount calculation unit 37B specifies the maximum output point of the Y axis of the angular velocity (gyro) sensor from the front-rear search range (step S52). That is, the trunk rotation amount calculation unit 37B specifies the left and right maximum rotation amounts of the trunk rotation from the front-rear search range.

  Subsequently, the trunk rotation amount calculation unit 37B determines that the maximum left rotation amount and the right maximum rotation amount are before the time when the maximum rotation amount in the right direction is the maximum rotation amount in the left direction. Then, the absolute value of the difference between these rotation amounts is calculated as “right trunk rotation amount” (step S53). Then, the trunk rotation amount calculation unit 37B, for the continuous leftward and rightward maximum rotation amounts, is later than the time point when the rightward maximum rotation amount becomes the leftward maximum rotation amount, The absolute value of the difference between these rotation amounts is calculated as “left-handed trunk rotation amount” (step S54).

  Then, the trunk rotation amount calculation unit 37B sets the calculated “right trunk rotation amount” to “waist rotation (right)” and “left trunk rotation amount” to “waist rotation (left)”. (Step S55).

  Next, the left / right rotation amount calculation unit 37C refers to the step marker range between the step markers from the output data output by the step marker left / right determination unit 36 (step S61). Then, the left / right rotation amount calculation unit 37C specifies the maximum output point of left / right rotation in the step marker range (step S62). That is, the left / right rotation amount calculation unit 37C specifies the maximum rotation amount in the left / right direction from the step marker range.

  Subsequently, the left-right rotation amount calculation unit 37C, for the continuous left and right maximum rotation amounts, is before the time when the left rotation maximum rotation amount is before the right rotation maximum amount, The absolute value of the difference between these rotation amounts is calculated as “left rotation amount” (step S63). Then, the left / right rotation amount calculation unit 37C, when the maximum rotation amount in the left direction and the right direction is continuous, when the time when the maximum rotation amount in the left direction is later than the time when the maximum rotation amount in the right direction is reached, The absolute value of the difference in rotation amount is calculated as “rightward rotation amount” (step S64).

  Then, the left / right rotation amount calculation unit 37C outputs the calculated “right rotation amount” as “right rotation amount” and “left rotation amount” as “left rotation amount” (step S65).

  Next, the left / right movement amount calculation unit 37D refers to the front / rear search range of 30% before and after the step marker from the output data output by the step marker left / right determination unit 36 (step S71). Then, the left-right movement amount calculation unit 37D specifies the maximum output point of left-right movement in the front-rear search range (step S72). That is, the left / right movement amount calculation unit 37D specifies the maximum movement amount in the left / right direction from the front / rear search range.

  Subsequently, the left / right movement amount calculation unit 37D determines that the maximum movement amount in the left direction and the right direction is before the time point when the maximum movement amount in the left direction is the maximum movement amount in the right direction. The absolute value of the difference between these movement amounts is calculated as “rightward movement amount” (step S73). Then, the left and right movement amount calculation unit 37D calculates the leftward and rightward maximum movement amounts in the case where the time point when the leftward maximum movement amount is after the time point when the maximum rightward movement amount is reached. The absolute value of the difference between the movement amounts is calculated as “leftward movement amount” (step S74).

  Then, the left / right movement amount calculation unit 37D outputs the calculated “right movement amount” as “right movement amount” and “left movement amount” as “left movement amount” (step S75).

  Next, the vertical movement amount calculation unit 37E refers to the step marker range between the step markers from the output data output by the step marker left / right determination unit 36 (step S81). Then, the vertical movement amount calculation unit 37E specifies the peak time of the downward movement in the step marker range (step S82). That is, the vertical movement amount calculation unit 37E specifies step markers at both ends of the step marker range.

  Then, the vertical movement amount calculation unit 37E specifies the maximum output point of vertical movement between step markers (step S83). That is, the vertical movement amount calculation unit 37E specifies the maximum upward movement amount from the step marker range.

  Subsequently, the vertical movement amount calculation unit 37E, for the continuous downward and upward maximum movement amount, when the time point when the downward maximum movement amount is before the time point when the upward maximum movement amount, The absolute value of the difference between these movement amounts is calculated as “upward movement amount” (step S84). Then, the vertical movement amount calculation unit 37E, for the continuous downward and upward maximum movement amounts, if the time point when the downward maximum movement amount is later than the time point when the upward maximum movement amount, The absolute value of the difference between the movement amounts is calculated as “downward movement amount” (step S85).

  Then, the vertical movement amount calculation unit 37E outputs the calculated “upward movement amount” as “upward movement amount” and “downward movement amount” as “downward movement amount” (step S86).

  Next, the landing impact calculation unit 37F refers to the step marker range between the step markers from the output data output by the step marker left / right determination unit 36 (step S91). The landing impact calculation unit 37F specifies the maximum value and the minimum value of the Y axis of the acceleration sensor from the step marker range (step S92). That is, the landing impact calculation unit 37F specifies the maximum movement amount in the vertical direction from the step marker range.

  Subsequently, the landing impact calculation unit 37F calculates the absolute value of the difference in the maximum movement amount in the vertical direction as “landing impact” (step S93). Then, the landing impact calculator 37F outputs the calculated “landing impact” as the “landing impact amount” (step S94).

  Next, the procedure of the walking posture diagnosis process will be described with reference to FIG. FIG. 23 is a flowchart illustrating the procedure of the walking posture diagnosis process according to the second embodiment.

  First, the walking posture diagnosis unit 38 compares the “various movement trajectory calculation data” with the values set in the diagnostic threshold table 41 (step S101). The “various movement trajectory calculation data” is data in which an average value is calculated for each movement trajectory using the data of various movement trajectories output by the walking posture trajectory amount calculation unit 37.

  Then, the walking posture diagnostic unit 38 calculates a score according to a predetermined scoring method based on the comparison result, and creates diagnostic form (walking posture) information (step S102). Then, the walking posture diagnosis unit 38 combines the diagnosis form (walking posture) information and the score with “calculation data of various movement trajectories” (step S103).

  Subsequently, the display control unit 39 compares the combined “calculation data of various movement trajectories” with the information set in the diagnostic advice table 42 (step S104). Then, the display control unit 39 edits “calculation data of various movement trajectories” from the comparison result, and displays the score, diagnosis form (walking posture) information, and advice content on the screen (step S105).

  Then, the display control unit 39 stores “calculation data of various movement trajectories” and advice contents in the diagnosis history table 43 (step S106).

  Next, the mounting position of the 6-axis sensor 24 when the mobile terminal device 2 is a mobile phone will be described with reference to FIG. FIG. 24 is a diagram illustrating an example of the mounting position of the 6-axis sensor 24 when the mobile terminal device 2 is a mobile phone. As shown in FIG. 24, a 6-axis sensor 24 including an angular velocity sensor 24a and an acceleration sensor 24b is mounted on the right side surface 2c and the back surface 2b when the front surface 2a of the mobile phone 2A is used as a reference. In addition, the 6-axis sensor 24 on the back surface 2b of the mobile phone 2A includes a Y-axis having a positive one in the longitudinal direction and an X-axis having a positive one in the short direction. The 6-axis sensor 24 on the right side surface 2c of the mobile phone 2A includes a Z-axis with the vertical direction being positive from the back surface 2b.

  Note that when diagnosing the walking posture, the mobile phone 2A is attached to the subject, but it is desirable to attach the mobile phone 2A so that the coordinate axes of the 6-axis sensor 24 and the reference coordinate axis coincide. However, even if the coordinate axis of the 6-axis sensor 24 rotates according to the mounting posture of the mobile phone 2A, the acceleration sensor 24b included in the 6-axis sensor 24 can determine the maximum direction of gravitational acceleration. Therefore, if the coordinate axis corresponding to the mounting posture of the mobile phone 2A is rotated so as to match the reference coordinate axis using the maximum direction of gravity acceleration, it can be detected as data corresponding to the reference coordinate axis. Therefore, the mounting posture of the mobile phone 2A may be any posture.

  Next, an example of a display screen displayed by the display unit 23 will be described with reference to FIG. FIG. 25 is a diagram illustrating an example of a display screen. As shown in FIG. 25A, the display unit 23 displays a main menu related to diagnosis of walking posture. For example, the main menu includes menus such as “form diagnosis” and “view history”, and the menu is selected by the cursor key of the input unit 22. Here, when “form diagnosis” is selected by the input unit 22, a walking posture diagnosis start instruction is output to the input control unit 33.

  As shown in FIG. 25B, the display unit 23 displays a walking posture diagnosis result screen. For example, the walking posture diagnosis result screen has a menu of “advice from athlete”, and this menu is selected by the cursor key of the input unit 22.

  As shown in FIGS. 25C to 25E, the display unit 23 displays the advice content in which “calculation data of various movement trajectories” is edited by the display control unit 39. FIG. 25C is a display example of the advice content when the criteria are satisfied in various movement trajectories. For example, the display unit 23 displays that it is an “ideal” form. FIG. 25D is a display example of the advice content when the amount of rotation in the right direction or the amount of rotation in the left direction does not satisfy the standard. For example, the display unit 23 displays that the form is “bad left / right balance”. FIG. 25E is a display example of the advice content when the upward movement amount does not satisfy the standard. For example, the display unit 23 displays that the form is “walking as if jumping upward”. Note that “ideal” e21, “bad left / right balance” e22, and “walking as if jumping upward” e23 are set as advice results e2 of “calculation data of various movement trajectories”, respectively. It is contents.

  As shown in FIG. 25 (F), the display unit 23 displays the one-point advice content based on the above-described advice content. For example, the one-point advice content is the content set in the message content 42 c of the diagnostic advice table 42.

  As shown in FIG. 25G, the display unit 23 displays walking data. That is, when “view history” is selected by the input unit 22, walking data obtained based on the contents stored in the diagnosis history table 43 and the data storage unit 44 is displayed. For example, diagnostic form (walking posture) information set in “calculation data of various movement trajectories”, scores, and the like are displayed.

[Effect of Example 2]
According to the second embodiment, the step marker extraction unit 35 selects a downward folding time point from among a plurality of vertical movement amounts. The step marker extracting unit 35 then moves the selected time point less than the moving amount five samples before the selected time point, and the moving amount at the selected time point moves five samples after the selected time point. When the amount is smaller than the amount, the selected time point is extracted as a step marker. According to such a configuration, the step marker extraction unit 35 can exclude the case where the return at the time of return shows a small fluctuation, and thus can accurately extract the step marker that appears at every step. As a result, the step marker extracting unit 35 can accurately acquire the movement amount related to each step of the step marker continuous by walking, and the movement trajectory of the walking posture generated by walking based on each acquired movement amount. It can be calculated efficiently.

  According to the second embodiment, the step marker extraction unit 35 does not use the extracted step marker as a step marker when the extracted step marker is outside the reference period required for one step from the immediately preceding step marker. I did it. According to such a configuration, the step marker extracting unit 35 can more accurately extract the step marker that appears at each step by making the step marker outside the reference period required for one step not a step marker. As a result, the step marker extracting unit 35 can more accurately acquire the movement amount related to each step of the step marker continuous by walking, and the movement trajectory of the walking posture generated by walking based on each acquired movement amount. Can be calculated efficiently.

  Further, according to the second embodiment, the left / right rotation amount calculation unit 37 </ b> C acquires the rotation amount accompanying the rotation in the left / right direction in the walking of the subject detected by the 6-axis sensor 24. The left / right rotation amount calculation unit 37C calculates the difference between the maximum rotation amount generated by the step marker immediately before the extracted step marker and the maximum rotation value generated by the extracted step marker as the left / right rotation locus. According to such a configuration, the left / right rotation amount calculation unit 37C calculates the left / right rotation locus from the maximum rotation amount generated by the continuous step markers, and therefore, the balance of the left / right rotation is efficiently based on the calculated left / right rotation locus. Can be diagnosed.

  Further, according to the second embodiment, the step marker left / right determination unit 36 acquires the rotation amount accompanying the rotation in the left / right direction in the walking of the subject detected by the 6-axis sensor 24. Then, the step marker left / right determination unit 36 determines the left / right of the leg making one step based on the positive / negative sign of the maximum rotation amount immediately after the extracted step marker. According to such a configuration, the step marker left / right determination unit 36 determines the left / right of the leg that makes one step based on the sign of the maximum rotation amount immediately after the step marker. The left and right legs can be easily determined.

  Further, according to the second embodiment, the mobile terminal device 2 includes the 6-axis sensor 24. According to this configuration, since the mobile terminal device 2 can detect various data related to walking, the mobile terminal device 2 can calculate various movement trajectories caused by walking, and can give various advices regarding the walking posture based on a plurality of movement trajectories.

  Further, according to the second embodiment, the display control unit 39 displays the diagnosis result diagnosed by the walking posture diagnosis unit 38 on the display unit 23. According to such a configuration, the display control unit 39 can notify the diagnosis result to the subject who has been diagnosed, and can efficiently provide advice regarding the walking posture.

[Programs]
Note that the step marker extraction unit 35 determines the determination of one step of the walking posture using the upper and lower limit values. That is, the step marker extraction unit 35 determines whether or not the step marker is less than 250 milliseconds indicating the lower limit value from the immediately preceding step marker. Further, the step marker extraction unit 35 determines whether or not the step marker exceeds 1000 milliseconds indicating the upper limit value from the immediately preceding step marker. However, these upper and lower limit values are not limited to 250 milliseconds and 1000 milliseconds, and may be changed. Thereby, the portable terminal device 2 can be changed to a value corresponding to the walking timing of the subject, and can accurately calculate the trajectory of the walking posture according to the walking of the subject.

  Moreover, the step marker extraction part 35 extracts the feature time point which appears for every step as a step marker based on the moving amount | distance of an up-down direction. In the embodiment, it has been described that this characteristic time point is a landing point of one step. However, the characteristic time point is not limited to this, and may be a time point when the leg is raised to the maximum, for example.

  The mobile terminal device 2 is provided with a 6-axis sensor 24. That is, the 6-axis sensor control unit 34 outputs the movement amount in the left-right direction, the movement amount in the vertical direction, the movement amount in the front-rear direction, the rotation amount in the front-rear direction, the rotation amount in the trunk direction, and the left-right direction. The amount of rotation is detected. However, the mobile terminal device 2 is not limited to this, and is provided with an acceleration sensor in the Y-axis direction that detects the amount of movement in the vertical direction among the three-axis acceleration sensors, and the acceleration sensor in the coordinate axis direction other than the Y-axis direction or any one of them An angular velocity sensor around one coordinate axis may be provided.

  In addition, each component of each illustrated mobile terminal device does not necessarily need to be physically configured as illustrated. That is, the specific mode of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, the walking posture diagnosis unit 38 and the display control unit 39 may be integrated as one unit. On the other hand, the step marker extraction unit 35 may be distributed to a step marker determination unit that determines whether or not the folding time point becomes a step marker. Further, the storage unit 26 may be connected as an external device of the mobile terminal device 2 via a network.

  The various processes described in the above embodiments can be realized by executing a prepared program on a computer. In the following, an example of a computer that executes a walking trajectory calculation program having the same function as that of the mobile terminal device 2 illustrated in FIG. 2 will be described with reference to FIG.

  FIG. 26 is a diagram illustrating a computer that executes a walking trajectory calculation program. As shown in FIG. 26, the computer 1000 includes a CPU (Central Processing Unit) 1010, an input device 1020, a monitor 1030, a voice input / output device 1040, a wireless communication device 1050, and a 6-axis sensor 1060. Further, the computer 1000 includes a RAM 1070 and a data storage device such as a hard disk device 1080, which are connected by a bus 1090. The CPU 1010 executes various arithmetic processes. The input device 1020 receives data input from the user. The monitor 1030 displays various information. The voice input / output device 1040 inputs and outputs voice. The wireless communication device 1050 exchanges data with other computers via wireless communication. The six-axis sensor 1060 detects acceleration in the three-axis direction and angular velocity around the three axes. The RAM 1070 temporarily stores various information.

  The hard disk device 1080 stores a walking posture diagnosis program 1081 having the same function as that of the control unit 25 shown in FIG. Further, the hard disk device 1080 includes walking posture diagnosis processing related data 1082 corresponding to various data (diagnosis threshold table 41, diagnosis advice table 42, diagnosis history table 43) stored in the storage unit 26 shown in FIG. And a diagnosis history file 1083 is stored.

  Then, the CPU 1010 reads out the walking posture diagnosis program 1081 from the hard disk device 1080 and develops it in the RAM 1070, so that the walking posture diagnosis program 1081 functions as the walking posture diagnosis process 1071. Then, the walking posture diagnosis process 1071 appropriately expands information read from the walking posture diagnosis processing related data 1082 in an area allocated to itself on the RAM 1070, and executes various data processing based on the expanded data and the like. . Then, the walking posture diagnosis process 1071 outputs predetermined information to the diagnosis history file 1083.

  The walking posture diagnosis program 1081 is not necessarily stored in the hard disk device 1080, and the computer 1000 may read and execute the program stored in a storage medium such as a CD-ROM. Good. Further, this program may be stored in another computer (or server) connected to the computer 1000 via a public line, the Internet, a LAN (Local Area Network), a WAN (Wide Area Network), or the like. In this case, the computer 1000 reads the program from these and executes it.

  The following additional remarks are disclosed regarding the embodiment according to the above example.

(Supplementary note 1) a first displacement detector that detects a displacement value associated with movement in the vertical direction in walking of the subject;
A second displacement detector for detecting a displacement value associated with movement or rotation in a predetermined direction in the walk of the examiner;
A walking posture reference trajectory storage unit that stores a reference trajectory related to the walking posture;
A feature displacement time point extraction unit that extracts a predetermined feature displacement time point that appears at every step as a walking timing based on vertical displacement values at a plurality of time points detected by the first displacement detection unit;
Trajectory calculation for selecting a continuous walking timing extracted by the feature displacement time point extraction unit and calculating a trajectory generated by walking at the selected walking timing based on a displacement value detected by the second displacement detection unit And
A portable terminal device, comprising: a walking posture determination unit that determines whether or not the locus calculated by the locus calculation unit satisfies a criterion related to a walking posture stored by the walking posture reference locus storage unit.

(Appendix 2) The trajectory calculation unit
When the second displacement detector detects a displacement value associated with rotation in the left-right direction during walking of the subject, the maximum displacement value generated by the walking timing immediately before the selected walking timing and the walking immediately after the selected walking timing The mobile terminal device according to Supplementary Note 1, further comprising a left-right rotation amount calculation unit that calculates a difference between the maximum displacement values caused by timing as a left-right rotation locus.

(Supplementary Note 3) When the second displacement detection unit detects a displacement value associated with rotation in the left-right direction during walking of the subject, within a predetermined period centering on the feature displacement time point extracted by the feature displacement time point extraction unit The mobile terminal device according to appendix 1 or appendix 2, further comprising a characteristic left / right determination unit that determines the left / right of a leg that makes one step based on a positive / negative sign of the maximum displacement value.

(Supplementary Note 4) The first displacement detector and the second displacement detector are
The mobile terminal device according to any one of appendix 1 to appendix 3, wherein the mobile terminal device is configured by a six-axis sensor.

(Additional remark 5) It has an output part which outputs the determination result determined by the said walking posture determination part, The portable terminal device as described in any one of Additional remark 1 to Additional remark 4 characterized by the above-mentioned.

(Supplementary Note 6) Predetermined feature displacement that appears at every step based on vertical displacement values at a plurality of points in time detected by a first displacement detector that detects displacement values associated with vertical movement during walking of the subject A feature displacement point extraction procedure for extracting the point of time as walking timing;
The continuous walking timing extracted by the feature displacement time point extraction procedure is selected, and the displacement value detected by the second displacement detector that detects the displacement value associated with movement or rotation in a predetermined direction in the walking of the examinee A trajectory calculation procedure for calculating a trajectory generated by walking at the selected walking timing,
Causing the computer to execute a walking posture determination procedure for determining whether or not the locus calculated by the locus calculation procedure satisfies a criterion regarding the walking posture stored by the storage unit that stores a locus serving as a reference for the walking posture. A walking trajectory calculation program characterized by

(Appendix 7) A walking posture diagnosis method in which a mobile terminal device diagnoses a walking posture,
Based on the displacement values in the vertical direction at a plurality of points detected by the first displacement detector that detects the displacement value associated with the movement in the vertical direction during the walking of the subject, the user walks at the time of a predetermined feature displacement that appears at each step. A feature displacement time point extraction process to extract as timing;
The continuous displacement timing extracted by the characteristic displacement time point extraction step is selected, and the displacement value detected by the second displacement detector that detects the displacement value associated with movement or rotation in a predetermined direction in the walking of the examinee A trajectory calculating step for calculating a trajectory generated by walking at the selected walking timing,
A walking posture determination step of determining whether or not the locus calculated by the locus calculation step satisfies a criterion related to the walking posture stored by a storage unit that stores a reference locus relating to the walking posture. A walking posture diagnosis method.

DESCRIPTION OF SYMBOLS 1, 2 Portable terminal device 11 1st displacement detection part 12 2nd transition detection part 13 Walking attitude reference locus | trajectory memory | storage part 14 Feature displacement time point extraction part 15 Trajectory calculation part 16 Walking attitude | position determination part 21 Wireless communication part 22 Input part 23 Display unit 24 6-axis sensor 25 Control unit 26 Storage unit 31 Wireless control unit 32 Call control unit 33 Input control unit 34 6-axis sensor control unit 35 Step marker extraction unit 36 Step marker left / right determination unit 37 Walking posture trajectory amount calculation unit 37A Before and after Rotation amount calculation unit 37B Trunk rotation amount calculation unit 37C Left / right rotation amount calculation unit 37D Left / right movement amount calculation unit 37E Vertical movement amount calculation unit 37F Landing impact calculation unit 38 Walking posture diagnosis unit 39 Display control unit 41 Diagnostic threshold table 42 Diagnosis advice table 43 Diagnosis history table 44 Data storage unit

Claims (1)

A portable electronic device,
A display unit, a control unit, an acceleration sensor, and an angular velocity sensor that detects an angular velocity around an axis orthogonal to an axis at which the acceleration sensor detects acceleration;
The control unit
A menu screen having selection items for form diagnosis;
A diagnostic result screen for displaying a diagnostic result including an advice menu based on the output from the acceleration sensor and the acceleration sensor after the form diagnosis is selected;
After the advice menu is selected, an advice screen for displaying the advice content is generated.
The display section
A portable electronic device that displays the menu screen, the diagnosis result screen, and the advice screen.

Images