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 …

Healthcare studies are moving toward individualised measurement. There is need to move
beyond supervised assessments in the laboratory/clinic. Longitudinal free-living assessment …

Recent advances in artificial intelligence and machine learning (ML) led to effective methods
and tools for analyzing the human behavior. Human Activity Recognition (HAR) is one of the …

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 …

Wearable devices have gained immense popularity among various pervasive computing
and Internet-of-Things (IoT) applications in the past decade. Sports analytics researchers …

Beginner table-tennis players require constant real-time feedback while learning the
fundamental techniques. However, due to various constraints such as the mentor's inability …

Inertial measurement units (IMU) are widely used in sports applications to digitise human
motion by measuring acceleration and rotational velocity in three-dimensional space. A …

Sensor-based human activity recognition aims to classify human activities or behaviors
according to the data from wearable or embedded sensors, leading to a new direction in the …

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 …

Swing movements and muscle strength are essential for mastering badminton techniques.
Traditionally, students learn badminton through their instructor's physical demonstration …