Highlights•Deep neural networks are shattering performance benchmarks in computer
vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …

Extracting behavioral measurements non-invasively from video is stymied by the fact that it is
a hard computational problem. Recent advances in deep learning have tremendously …

Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …

The aim of this review was to understand the use of wearable technology in sport in order to
enhance performance and prevent injury. Understanding sports biomechanics is important …

Healthcare 4.0 is a term that has emerged recently and derived from Industry 4.0. Today, the
health care sector is more digital than in past decades; for example, spreading from x‐rays …

Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

The use of inertial measurement units (IMUs) has gained popularity for the estimation of
lower limb kinematics. However, implementations in clinical practice are still lacking. The …

Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …

Knee joint forces (KJF) are biomechanical measures used to infer the load on knee joint
structures. The purpose of this study is to develop an artificial neural network (ANN) that …

The interest and competitiveness in sports for persons with disabilities has increased
significantly in the recent years, creating a demand for technological tools supporting …