The proliferation of Internet of Things (IoT) systems is having a profound impact across all
aspects of life. Recognising and identifying particular users is central to delivering the …

Lower limb exoskeleton robots offer an effective treatment for patients with lower extremity
dysfunction. In order to improve the rehabilitation training effect based on the human motion …

Balance and walking are fundamental to support common daily activities. Relatively
accurate characterizations of normal and impaired gait features were attained at the …

Cable-driven parallel robots (CDPRs) are still gaining attention thanks to their interesting
characteristics compared to serial or classic parallel manipulators. However, the limited …

Human personality assessment using gait pattern recognition is one of the most recent and
exciting research domains. Gait is a person's identity that can reflect reliable information …

An assessment of the human motion repeatability for three selected Activities of Daily Living
(ADL) is performed in this paper. These exercises were prescribed by an occupational …

Walking encompasses a complex interplay of neuromuscular coordination and cognitive
processes. Disruptions in gait can impact personal independence and quality of life …

This paper leverages the OpenSim physics-based simulation environment for the forward
dynamic simulation of an osseointegrated transfemoral amputee musculoskeletal model …

The current trend of assessing joint angles could be conducted through machines or deep
learning (DL) relies on various input data. The development of different types of DL models …

In basketball, the biomechanics of the lower limbs play a significant role in executing specific
movements like sprints, jumps, and directional changes. Optimizing the performance of …