Emerging wearable interfaces and algorithms for hand gesture recognition: A survey

S Jiang, P Kang, X Song, BPL Lo… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

[HTML][HTML] Soft gloves: A review on recent developments in actuation, sensing, control and applications

M Tiboni, C Amici - Actuators, 2022 - mdpi.com
Interest in soft gloves, both robotic and haptic, has enormously grown over the past decade,
due to their inherent compliance, which makes them particularly suitable for direct …

Design of wearable hand rehabilitation glove with bionic fiber-reinforced actuator

Y Han, Q Xu, F Wu - … of Translational Engineering in Health and …, 2022 - ieeexplore.ieee.org
Background: The hand motor function is lost and activities in daily life (ADLs) are affected
due to some illnesses such as stroke and hemiplegia. As a coping way, we present a …

Soft, rigid, and hybrid robotic exoskeletons for hand rehabilitation: Roadmap with impairment-oriented rationale for devices design and selection

GM Achilli, C Amici, M Dragusanu, M Gobbo… - Applied Sciences, 2023 - mdpi.com
In recent decades, extensive attention has been paid to the study and development of
robotic devices specifically designed for hand rehabilitation. Accordingly, a many concepts …

Soft exoskeleton mimics human cough for assisting the expectoration capability of SCI patients

Y Zhang, Z Wang, Q Ge, Z Wang, X Zhou… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
This paper describes the design of a bionic soft exoskeleton and demonstrates its feasibility
for assisting the expectoration function rehabilitation of patients with spinal cord injury (SCI) …

Robust fusion model for handling EMG and computer vision data in prosthetic hand control

S Deshmukh, V Khatik, A Saxena - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
Real-time surface electromyography (EMG) signals are commonly used in grasp
classification for prosthetic hands. EMG signals, however, lack in getting comprehensive …

Novel Technologies of Exoskeleton Systems Applied to Rehabilitation for Hand Therapies: A Technological Review

T Barreda-Galvez… - … International Seminar on …, 2023 - ieeexplore.ieee.org
Movement disorders and injuries affect partial or full control of the parts of the body that
affect your movement. Among the affected parts are the hands, which are vital to carrying out …

Signals, sensors and methods for controlling active upper limb orthotic devices: a comprehensive review

LT dos Santos, M Kugler, P Nohama - Research on Biomedical …, 2023 - Springer
Introduction Active orthotic devices are potential assets to improve the effectivity of
rehabilitation practices for motor disabilities. However, the development of these devices still …

[HTML][HTML] Robotic Systems for Hand Rehabilitation—Past, Present and Future

B Gherman, I Zima, C Vaida, P Tucan, A Pisla… - Technologies, 2025 - mdpi.com
Background: Cerebrovascular accident, commonly known as stroke, Parkinson's disease,
and multiple sclerosis represent significant neurological conditions affecting millions …

[HTML][HTML] Machine Learning Models for Assistance from Soft Robotic Elbow Exoskeleton to Reduce Musculoskeletal Disorders

S Suresh, I Singh, MBJ Wijesundara - Actuators, 2025 - mdpi.com
Musculoskeletal disorders are very common injuries among occupational and healthcare
workers. These injuries are preventable in many scenarios using exoskeleton-based …