Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

Recent progress in sports analytics has been driven by the availability of spatio-temporal
and high level data. Video-based action recognition in sports can significantly contribute to …

Racquet sports can provide positive benefits for human healthcare. A reliable detection
device that can effectively distinguish movement with similar sub-features is therefore …

Human movement analysis is very often applied to sport, which has seen great
achievements in assessing an athlete's progress, giving further training tips and in …

Human Action Recognition is a challenging task used in many applications. It interacts with
many aspects of Computer Vision, Machine Learning, Deep Learning and Image Processing …

The identification of facial expressions with human emotions plays a key role in non-verbal
human communication and has applications in several areas. In this work, we propose a …

This paper focuses on the aggregation of two tennis groundstrokes: Forehand and
backhand, which are performed in every match and training session. Recognition of tennis …

Action classification makes significant contributions to sport analysis, especially for athletes'
training evaluations. In this study, the identification of two basic tennis groundstrokes were …

The identification of facial expressions with human emotions plays a key role in non-verbal
human communication and has applications in several areas. In this work, we analyze two …