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A method and a system for detecting and evaluating a motion state based on machine vision

A motion state and machine vision technology, applied in the direction of instruments, computer parts, character and pattern recognition, etc., can solve problems such as evaluation errors, users feeling uncomfortable, inaccurate, etc.

Inactive Publication Date: 2019-03-01
北京分形科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method needs to install the sensor on the user's underwear, which is easy to make the user feel uncomfortable; secondly, the physiological data of the human body includes the temperature of the human body. accurate, making the assessment erroneous

Method used

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  • A method and a system for detecting and evaluating a motion state based on machine vision
  • A method and a system for detecting and evaluating a motion state based on machine vision
  • A method and a system for detecting and evaluating a motion state based on machine vision

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Experimental program
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Embodiment 1

[0084] Such as figure 1 As shown, step 100 is executed to obtain dynamic facial features. The dynamic facial features include at least one of basic sportsman features, facial orientation features, timing features, and motion state features. Wherein the basic sportsman's feature refers to the comprehensive feature that includes face outline, mouth, eye, eyebrow, nose and ear, and the described basic sportsman's feature of each sportsman is represented by the vector representation that n mark points form, X i =([x i0 ,y i0 ], [x i1 ,y i1 ],...,[x ij ,y ij ],...,[x in ,y in ]), where i is the serial number of each moving individual, j is a natural number, and 0≤j≤n, [x in ,y in ] is the coordinate of the calibration point on the face; the face orientation feature is an angle vector value θ starting from the center of the athlete’s silhouette; the timing feature is the momentary time node of the movement process, and the vector is expressed as S i =([Y i0 ,M i0 ,D i0...

Embodiment 2

[0088] Such as figure 2 As shown, the motion state detection and evaluation system based on machine vision includes an acquisition module 200, a dynamic modeling module 210 and a calculation module 220.

[0089] Acquisition module 200 is used to obtain the acquisition module of dynamic facial feature, and dynamic facial feature comprises at least one in basic athlete's feature, facial orientation feature timing feature and motion state feature. The basic sportsman's feature refers to the comprehensive features including face contour, mouth, eyes, eyebrows, nose and ears, and the said basic sportsman's feature of each sportsman is represented by the vector representation of n calibration points, X i =([x i0 ,y i0 ], [x i1 ,y i1 ],...,[x ij ,y ij ],...,[x in ,y in ]), where, i is the serial number of each moving individual, j is a natural number, and 0≤j≤n, [x in ,y in ] is the coordinate of the calibration point on the face; the face orientation feature is an angle v...

Embodiment 3

[0093] This method is derived on the basis of the basic sportsman identification theory, combined with the difference characteristics of the sportsman in the sports state to compare the results, and compared with the time series changes, to obtain the sports state evaluation results of different sportsmen.

[0094] The motion state detection and evaluation method based on machine vision includes the following parts:

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Abstract

The invention provides a method and a system for detecting and evaluating a motion state based on machine vision, wherein the method comprises the steps of acquiring dynamic facial features, and further comprising the following steps: dynamic modeling is carried out according to the dynamic facial features; Based on the dynamic modeling, the captured images are submitted to an inference server forcalculation. The invention provides a method and a system for detecting and evaluating a motion state based on machine vision. The method and the system are derived from the theoretical foundation ofthe basic mover identification, and the comparison result is made according to the difference characteristics of the mover under the motion state and the time sequence change, so as to obtain the motion state evaluation results of different movers.

Description

technical field [0001] The invention relates to the technical field of motion state assessment, in particular to a machine vision-based motion state detection and evaluation method and system. Background technique [0002] In the field of computer vision research and application, a series of research topics related to human face have achieved great development and good results in recent years, and have broad application prospects. However, at present, face detection is mostly based on static features, and it is impossible to effectively evaluate the facial changes of athletes in motion. In the field of sports and fitness, there are commonly used optical heart rate methods, electrocardiographic induction methods, and gyroscope foot counting methods to achieve exercise status and exercise effect evaluation through heart rate or unit step frequency collection experience value input by users. Additional equipment will increase the burden on sports costs, and at the same time, d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/23G06V40/20
Inventor 欧阳志
Owner 北京分形科技有限公司