Extensive research has been dedicated to the exploration of various technologies such as
information technologies (IT) in complementing and strengthening existing healthcare …

Exoskeletons and exosuits have witnessed unprecedented growth in recent years,
especially in the medical and industrial sectors. In order to be successfully integrated into …

Abstract Recently, Convolutional Neural Networks (CNNs) have been used for the
classification of hand activities from surface Electromyography (sEMG) signals. However …

Robot-assisted rehabilitation and therapy has become more and more frequently used to
help the elderly, disabled patients or movement disorders to perform exercise and training …

Gesture recognition using sparse multichannel surface electromyography (sEMG) is a
challenging problem, and the solutions are far from optimal from the point of view of muscle …

Background Stroke significantly affects thousands of individuals annually, leading to
considerable physical impairment and functional disability. Gait is one of the most important …

Internet of Things (IoT) makes all objects become interconnected and smart, which has been
recognized as the next technological revolution. As its typical case, IoT-based smart …

The powered exoskeleton promises substantial improvements on daily activities of the
people who need robots provide assistance. In order to achieve flexible and stable control of …

The clinical assessment technology such as remote monitoring of rehabilitation progress for
lower limb related ailments rely on the automatic evaluation of movement performed along …

Deep learning methods have been widely used for the classification of hand gestures using
sEMG signals. Existing deep learning architectures only captures local spatial information …