Kinect-based non-contact type student physical fitness evaluation method

Abstract

The invention discloses a Kinect-based non-contact type student physical fitness evaluation method. The objective of the invention is to solve the technical problem of poor practicability of an existing Kinect-based human behavior detection method. According to the technical schemes of the invention, the postures of a human body are obtained through color and infrared cameras provide with Kinect and are display on an interface in real time; the positions of the joins of the human body are recorded by using speculated bone nodes; the behaviors of the human body are speculated through comparing the position changes of the joints of the human body when the human body does various kinds of sports; the behaviors of the human body are matched with preset standard data, so that whether the actions of the human body are standard can be detected; and final results are fed back to the interface. Compared with the prior art, and according to the Kinect-based non-contact type student physical fitness evaluation method of the invention, constraint on a detected human body, which is caused by additionally arranging equipment on the detected human body, can be eliminated, and centralized testing of a large number of physical fitness evaluation objects can be facilitated; a backstage database system can automatically acquire physical fitness monitoring data, so that analysis and management on the physical fitness condition of students can be facilitated; and the average error of student physical fitness evaluation results is lower than 2%, and the student physical fitness evaluation results are insusceptible to subjective factors.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction, and in particular relates to a Kinect-based non-contact student physique evaluation method. Background technique [0002] Physique is the material basis of human life activities and labor and work ability. The determination of physical fitness can lay a foundation for our country's national physical fitness monitoring system to grasp the laws of the development and change of adult physical fitness. Traditional physical fitness assessment basically uses manual testing and recording, which is slow, heavy workload and error-prone. For some important motion parameters in students' physical training, such as joint angles, it is difficult to measure by traditional methods, and it cannot provide the conditions for non-contact machine measurement, and human factors interfere greatly. [0003] The document "Chinese Invention Patent Application Publication No. CN105046281A" discloses a...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the poor practicability of the existing Kinect-based human behavior detection method, the present invention provides a Kinect-based non-contact method for evaluating students' physical fitness

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