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 …

The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with
wearable and contactless sensors aimed at tackling real‐world problems warrants a …

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 …

A thorough analysis of sports is becoming increasingly important during the training process
of badminton players at both the recreational and professional level. Nowadays, game …

Purpose: The popularity of fencing and intense sports competition has burdened
adolescents with excessive training, harming their immature bodies. Traditional training …

With the fast expansion of digital technologies and sporting events, interpreting sports data
has become an immensely complicated endeavor. Internet-sourced sports big data exhibit a …

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 …

Shuttlecock tracking is required for examining the trajectory of the shuttle-cock in badminton
matches. Player Service Fault Detection identifies service faults during badminton matches …

Activity recognition models based on wearable devices are becoming increasingly popular.
However, models that are trained and tested on the same players show a large bias and are …

At present, more and more sports science and technology are being explored and applied in
competitive sports. The birth and popularization of video tracking and capturing technology …