首页 /研究 /Artificial Intelligence for Sport Activitity Recognition
LEARNING

Artificial Intelligence for Sport Activitity Recognition

Sergei Bezobrazov, Andrei Sheleh, Sergei Kislyuk, Vladimir Golovko, Anatoliy Sachenko, Myroslav Komar, Vitaliy Dorosh, Volodymyr Turchenko

发表年份
2019
引用次数
7

摘要

This paper presents and explains an implementation of an Artificial Neural Network approach for sport activities (gestures) detection and recognition using PIQ ROBOT device. Tennis was chosen as an example of sports activities. The development of artificial intelligence has given rise to gesture-recognition-based devices. The global gesture recognition market size was valued at USD 6.22 billion in 2017 and it is likely to reach USD 30.6 billion by 2025. This paper starts our ambitious research in the area of artificial neural networks for activity recognition in the sport.

关键词

Gesture recognitionGestureArtificial neural networkComputer scienceArtificial intelligenceRobot

相关论文

查看 LEARNING 分类全部论文