In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …

Wearables developed for human body signal detection receive increasing attention in the
current decade. Compared to implantable sensors, wearables are more focused on body …

Termites are the most destructive pests and their attacks significantly impact the quality of
wooden buildings. Due to their cryptic behavior, it is rarely apparent from visual observation …

In many gait applications, the focal events are the stance and swing phases. Although
detecting gait events using electromyography signals will help the development of assistive …

Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade
mainly because to its applications in the identification and control of neuromuscular …

Myoelectric pattern recognition (MPR) to decode limb movements is an important
advancement regarding the control of powered prostheses. However, this technology is not …

Electromyography (EMG) signals are gaining popularity for several biomedical applications,
including pattern recognition, disease detection, human–machine interfaces, medical image …

Gait phase detection is a new biometric method which is of great significance in gait
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …

Electromyograms (EMG) are recorded electrical signals generated from the muscles and
these signals are closely interrelated with the muscle activity and hence are useful for the …

This article presents the development of a soft material power augmentation wearable robot
using novel bending soft artificial muscles. This soft exoskeleton was developed as a human …