Fueled by the recent proliferation of energy-efficient and energy-autonomous or self-
powered nanotechnology-based wearable smart systems, human motion intention …

Myoelectric control for prosthetic hands is an important topic in the field of rehabilitation.
Intuitive and intelligent myoelectric control can help amputees to regain upper limb function …

Musculoskeletal models have been widely used for detailed biomechanical analysis to
characterise various functional impairments given their ability to estimate movement …

While tremendous advances in visual and auditory realism have been made for virtual and
augmented reality (VR/AR), introducing a plausible sense of physicality into the virtual world …

Recently, convolutional neural network (CNN) has been widely investigated to decode
human intentions using surface Electromyography (sEMG) signals. However, a pre-trained …

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

Data-driven methods have become increasingly more prominent for musculoskeletal
modeling due to their conceptually intuitive simple and fast implementation. However, the …

In this article, we present a predefined-time sensorless admittance tracking control scheme
for teleoperation systems in the presence of model uncertainty. To achieve personalized …

Identification of muscle-tendon force generation properties and muscle activities from
physiological measurements, eg, motion data and raw surface electromyography (sEMG) …

This work presents a multi-resolution physics-informed recurrent neural network (MR PI-
RNN), for simultaneous prediction of musculoskeletal (MSK) motion and parameter …