Auxiliary training system based on human body posture estimation algorithm

A training system, technology of human body posture, applied in the field of sports training, auxiliary training system field, can solve the problem of fewer golf swing systems, achieve analysis and comparison, improve level and performance, and intelligent degree high effect

Inactive Publication Date: 2016-06-15
BEIJING UNIV OF POSTS & TELECOMM
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Although there are more and more related auxiliary training syst

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  • Auxiliary training system based on human body posture estimation algorithm
  • Auxiliary training system based on human body posture estimation algorithm
  • Auxiliary training system based on human body posture estimation algorithm

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Such as figure 1 As shown, the pose estimation method based on the edge features of the human body contour plus image processing can obtain the data of 15 joint points of the human body as the input of the auxiliary training system. In order to avoid the difference caused by the height of the person and the distance from the camera, the present invention uses 5 joint angles made up of 15 joint points as system indicators to carry out auxiliary analysis, and the 5 joint angles are respectively recorded as Angle1 (head, neck, Chest), Angle2 (left shoulder, left elbow, left wrist), Angle3 (right shoulder, right elbow, right wrist), Angle4 (left hip, left knee, left foot), Angle5 (right hip, right knee, right foot). Euclidean distance is chosen as the similarity measure of poses. Finally, the system takes two auxiliary indicators of joint angle trajectory and post...

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Abstract

The invention discloses an auxiliary training system based on a human body posture estimation algorithm. The system is achieved through the steps that firstly, a binary outline image of a human body is detected and extracted from a monocular video on the basis of a background modeling method of a ViBe model; secondly, a outline edge graph of the image is obtained through a Canny edge detection algorithm; thirdly, coordinates of 15 main joint points of the human body in the image are acquired through the image processing methods such as horizontal line scanning and human body length ratio constraining; fourthly, on the above basis, the auxiliary training system is built, five joint angels formed by the 15 joint points are adopted as training indexes, the Euclidean distance is adopted as the similarity measure of postures, and the two auxiliary indexes of the joint angle track and the posture similarity are taken as system output. According to the auxiliary training system based on the human body posture estimation algorithm, analysis and contrast of the athlete postures are achieved by quantitatively analyzing the motion characteristics, therefore, the athlete level and grades are scientifically increased, and physical training can get rid of the state of purely depending on experience.

Description

Technical field: [0001] The invention relates to an auxiliary training system based on a human body posture estimation algorithm, which belongs to the application of computer vision technology in the field of human motion analysis and sports training. Background technique: [0002] In traditional sports training, training methods based on naked eye observation are usually used, but with the development of computer vision, people begin to use cameras to capture and analyze athletes' movements. And with the application of computer technology in the field of sports training, a number of companies dedicated to the research of golf auxiliary training systems have emerged at home and abroad. The methods currently used mainly include: image method, map analysis method, and portable sensor method. The existing achievements include the motion software MotionCoach developed by Canadian sports software development company MediaVention, the DartGoffer developed by Swiss sports analysis...

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Application Information

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IPC IPC(8): A63B69/36A63B24/00G06K9/00
CPCA63B24/0006A63B24/0075A63B69/36A63B2208/02G06V40/23
Inventor 贾庆轩孙汉旭陈钢张东梅
Owner BEIJING UNIV OF POSTS & TELECOMM
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