The health benefits of physical activity (PA) have been widely recognized, yet traditional
measures of PA, including questionnaires and category-based assessments of volume and …

Detecting stress when performing physical activities is an interesting field that has received
relatively little research interest to date. In this paper, we took a first step towards redressing …

Background: Low back pain (LBP) is a significant public health problem that can result in
physical disability and financial burden for the individual and society. Physical therapy is …

Improving health and lives of people is undoubtedly one of the prime goals of healthcare
organizations, policy-makers, and leaders around the world. The need of ageing, disability …

Motion pattern analysis uses a variety of methods to recognise physical activities recorded
by wearable sensors, video-cameras, and global navigation satellite systems. This paper …

Analysis of motion symmetry constitutes an important area with many applications in
engineering, robotics, neurology and biomedicine. This paper presents the use of …

Human locomotor activity (LA) recognition is important in the control of exoskeletons and
prostheses and in patient monitoring. This article presents a practical recognition approach …

Wearable device requirements currently vary from soft to hard real-time constraints.
Frequently, hardware improvements are a way to speed-up the global performance of a …

Background Inertial sensors, such as accelerometers, serve as convenient devices to predict
the energy expenditures (EEs) during physical activities by a predictive equation. Although …

Purpose The aims of this project were twofold: 1) to assess the concurrent validity of raw
accelerometer outputs with ground reaction forces (GRF) and loading rates (LR) calculated …