Locomotion assistive devices equipped with a microprocessor can potentially automatically
adapt their behavior when the user is transitioning from one locomotion mode to another …

Electromyography (EMG) is a commonly used technique to record myoelectric signals, ie,
motor neuron signals that originate from the central nervous system (CNS) and …

Surface Electromyography (sEMG) has been extensively used for gait analysis and robotic
control. Since the low accuracy of intention recognition limits the development of …

Amputees with lower limb loss need special care during daily life activities to make the
movement natural as before amputation. No such work exists covering the main aspects …

In the context of intelligent manufacturing and Industry 4.0, the manufacturing industry is
rapidly transitioning toward mass personalization production. Despite this trend, the …

Human activity recognition (HAR) is essential in many health-related fields. A variety of
technologies based on different sensors have been developed for HAR. Among them, fusion …

Surface electromyography (sEMG) signals can reflect the body motion information and are
widely used in military, medical rehabilitation, industrial production. The lower limb motion …

One of the key problems in lower limb-based human–computer interaction (HCI) technology
is to use wearable devices to recognize the wearer's lower limb motions. The information …

Ankle joint is one of the important anatomical structures of the human body, smart ankle-foot
orthosis (AFO) can assist human walking and improve the ankle motion for patients. This …

The real-time and accuracy of motion classification plays an essential role for the elderly or
frail people in daily activities. This study aims to determine the optimal feature extraction and …