Wearable sensing solutions have emerged as a promising paradigm for monitoring human
musculoskeletal state in an unobtrusive way. To increase the deployability of these systems …

Objective: Non-invasive human machine interfaces (HMIs) have high potential in medical,
entertainment, and industrial applications. Traditionally, surface electromyography (sEMG) …

Wearable technology for assistive medical applications and physical activity recognition has
emerged as a fast growing research field in recent years. However, the design of such …

The ability to efficiently assist human movement via wearable robotic exoskeletons requires
a deep understanding of human-exoskeleton physical interaction. That is, how the …

A markerless motion capture technique is proposed based on a fusion between a depth
camera (Kinect V2) and a pair of wrist-worn inertial measurement units (IMU). The method …

Complex sensor arrays prohibit practical deployment of existing wearables-based
algorithms for free-living analysis of muscle and joint mechanics. Machine learning …

Neurological disorders, including stroke, spinal cord injuries, multiple sclerosis, and
Parkinson's disease, generally lead to diminished upper extremity (UE) function, impacting …

This paper presents a prototype human motion tracking system for wearable sports
applications. It can be particularly applicable for tracking human motion during executing …

The intricate dynamics of the human musculoskeletal system require complex mathematical
computations for accurate simulation, posing challenges in estimating muscle activity. Real …

Research on robotic lower-limb assistive devices over the past decade has generated
autonomous, multiple degree-of-freedom devices to augment human performance during a …