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ShootPro: An Interactive and Immersive Basketball Shooting Practice Assistance System using Artificial Intelligence and Computer Vision

Authors

Yuetpang Chen1, Lin Yang1 and Marisabel Chang2, 1USA, 2California State Polytechnic University, USA

Abstract

Today, millions of people watch basketball like the NBA and many have a favorite player whom they admire [4]. Some even want to play the sport like their favorite star. However, for those who haven't tried the sport before, basketball can be very difficult. For example, beginners can miss shots because their shooting form changes every time, but they don't know that its changed, resulting in repeated misses as they don't fix it. Also, some people don't know what a "correct shot" looks like and therefore wouldn't know how to improve their shots. This paper proposes a software to solve this problem. This software uses mediapipe poses, AI comparison, and cv2 to help users identify the problems above and fix them [5]. We applied our application to the real-world basketball court and conducted a qualitative evaluation of the approach. The results show that with the help of this application, basketball players shoot with a better accuracy and form.

Keywords

Basketball, Corrector, Shooting Form