Locomotion disorder caused by spinal cord injury (SCI) leads to a considerably decreased
quality of people's lives. Although there are no known cure methods for SCI, a lower …

Hand gestures are crucial for developing prosthetic and rehabilitation devices, enabling
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …

Data-driven decoding of lower limb muscles surface electromyography (sEMG) and joints
kinematics is a crucial approach for enhancing prosthetic control and assistive reha …

The development of intelligent rehabilitation robots has greatly reduced the workload of
rehabilitation physicians. Human–machine interaction (HMI) control methods are a critical …

In this paper, the issue of fixed-time tracking control for the uncertain wearable exoskeleton
with prescribed performance is addressed. To heighten the transient and steady-state …

Wearable sensor-based human activity recognition (HAR) methods hold considerable
promise for upper-level control in exoskeleton systems. However, such methods tend to …

Electromyography (EMG) is a common method to estimate users' intended motion in
exoskeleton robots. Yet, it is highly susceptible to noise, and the process is complex due to …

Surface Electromyography (sEMG) is a non-invasive signal that is used in the recognition of
hand movement patterns, the diagnosis of diseases, and the robust control of prostheses …

Human hands can execute intricate and dexterous control of diverse objects. Decoding
hand motions, especially estimating the force of each individual finger via surface …

Controlling active exoskeletons for occupational assistance is a challenge. Unlike for
rehabilitation exoskeletons, Electromyography (EMG) sensors can hardly be used for control …