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 …

E-textiles have emerged as a fast-growing area in wearable technology for sports and
fitness due to the soft and comfortable nature of textile materials and the capability for smart …

The sports industry is witnessing an increasing trend of utilizing multiple synchronized
sensors for player data collection, enabling personalized training systems with multi …

Como el bádminton enfatiza significativamente la agilidad y precisión del movimiento de los
pies del jugador, se cree que realizar entrenamientos de sombra y aumentar la fuerza …

Badminton is a fast-paced sport that requires a high level of skill and coordination. To
improve their skills, players can use activity trackers to monitor different shots and activities …

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 …

Badminton tactics refer to the techniques and strategies employed by players to win a match.
Analyzing these tactics can help players improve their performance and outsmart their …

The study of object tracking has substantially advanced thanks to the development of deep
learning visual recognition and tracking methods. However, because to the additional …

Machine learning-based wearable human activity recognition (WHAR) models enable the
development of various smart and connected community applications such as sleep pattern …

The increasing use of artificial intelligence (AI) technology in turn-based sports, such as
badminton, has sparked significant interest in evaluating strategies through the analysis of …