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 …

Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

This paper presents TemPose, a novel skeleton-based transformer model designed for fine-
grained motion recognition to improve understanding of the detailed player actions in …

In badminton, accurate service height detection is critical for ensuring fairness. We
developed an automated service fault detection system that employed computer vision and …

Athletes, both professional and amateur, are always looking for ways to improve their
performance. With the introduction and increasing availability of modern technologies and …

Issues of fairness and consistency in Taekwondo poomsae evaluation have often occurred
due to the lack of an objective evaluation method. This study proposes a three-dimensional …

This paper presents a transformer encoder-decoder model for predicting future badminton
strokes based on previous rally actions. The model uses court position skeleton poses and …

With the fast development of sports in recent years, the number of people participating in
various sports has increased day by day. Because of the advantages of fewer constraints on …

Action recognition in sports, especially in handball, is a challenging task due to a lot of
players being on the sports field performing different actions simultaneously. Training or …

In order to realize the process of player feature extraction and classification from multi-
frequency frame-changing football match images more quickly, and complete the tactical …