Intelligent and real-time detection of the angle between directions of hands and head of the archer for the best releasing by using the image processing algorithm and Bayesian learning algorithm

Oral Presentation
Paper ID : 1107-12THCONG
Oral / Poster Presentation File: 1107-12THCONG.mp4 
1PHD student of sport management , tabriz azad university
2Tabriz robotic and mechatronics manager
Today, in advanced societies, the field of sport has been influenced by the advancement of technology, contrary to the previous methods; that only used the pre-existing principles now interdisciplinary science and technology are used to improve the results and performance of athletes. The innovative methods of analyzing and identifying the correct movement components of athletes improve the standards of traditional coaching experiences and performance. Therefore, the intelligent methods should be provided to increase the accuracy of analysis and detection. In archery, the angles of the hands, shoulders and head have a significant effect on the correct shooting, in the present methods the most optimal angles are obtained by the coach with experience, trial and error. In this regard, machine vision can play an important role in detecting physical movements of athletes In this study, a real-time and intelligent method is presented by using image processing techniques for the detection of archer's hand and head angles .A top view camera obtains the line of sight with the axis of the hands and the direction of the shoulder axis and calculates the optimum angle with respect to the throwing shot. Then, using the Bayesian learning algorithm, the system searches for the most probable hypothesis that with previous angles data and the first release rating, the probability of having the next release be eaten for different positions of the archer. The best releasing position is the one most likely to hit the highest point. The performance of this proposed method was evaluated by real-time scanning on ten athletes in whom the accuracy of detecting correct angle of the archer was about 90%. Therefore, it can be concluded that the proposed method with modern and intelligent approaches is a suitable method for optimal detection of hand, shoulder and head release angle which affects archer performance.