Robot-based motion detection method and its application in PE practice teaching
by Hong Cao
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 29, No. 1/2, 2019

Abstract: This paper proposes a robot-based motion detection method. It applies robot to the motion detection of colleges and universities, and takes the visual mechanism coordinate system as the world coordinate system to construct the motion equation of the robot camera. It uses the SR-CKF algorithm to predict the pose information of the athlete and the robot, removes the false observed values from the target observation values in the data association stage, and gets the state vector of the athlete in the update stage, and finally completes the target detection and tracking. The test results show that the proposed method has higher accuracy and efficiency. Select the impact indicators of the quality of the college physical education practice teaching system by comparing different impact indicators listed, and the analysis shows that the higher the accuracy of the motion detection results is, the better the quality of the college physical education practice teaching system will be reflected, and therefore it is more helpful to improve the college physical education teaching level.

Online publication date: Tue, 16-Apr-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com