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http://dx.doi.org/10.5392/JKCA.2020.20.03.424

Development of Tennis Training Machine in Ourdoor Environment with Human Tracking  

Yang, Jeong-Yean (목원대학교)
Publication Information
The Journal of the Korea Contents Association / v.20, no.3, 2020 , pp. 424-431 More about this Journal
Abstract
This paper focused on the development of sports robot that detects a human player and shots a serve ball automatically. When robot technologies apply to the sports machine, the domain problems occurs such as outdoor environments and playing condition to recognize the visual and the vocal modalities. Gaussian mixture model and Kalman filter are used to detect the player's position in the left, right, and depth direction and to avoid the noises caused by the player's posture variation around the net. The sports robot is designed by the pan-tilt structure to shot a serve ball by pneumatic control under the multi layered software architecture. Finally, the proposed tracking and the machine performance are discussed by experimental results.
Keywords
Sports Robot; Position Tracking; Gaussian Mixture Model; Visual Processing;
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Times Cited By KSCI : 1  (Citation Analysis)
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