This paper reviews model-based and model-free approaches for continuous prediction of
human joint motion using surface electromyography (EMG) signals. The review focuses on …

Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for
assessing the robot's movements and the force they produce to generate efficient control …

Since the outbreak of the coronavirus disease 2019 (COVID-19), countries around the world
have suffered heavy losses of life and property. The global pandemic poses a challenge to …

Exoskeleton robots have become an emerging technology in medical, industrial and military
applications. Human gait phase recognition is the crucial technology for recognizing …

Reliability and user compliance of the applied sensor system are two key issues of digital
healthcare and biomedical informatics. For gait assessment applications, accurate joint …

Electromyography (EMG) is commonly used to measure electrical activity of the skeletal
muscles. As exoskeleton technology advances, these signals may be used to predict human …

In human-robot interaction systems oriented to rehabilitation training, surface
electromyogram (sEMG)-based human motion intention recognition has essential …

The smooth interaction and coordination between lower-limb amputees and their prosthetics
is crucial when performing complex tasks such as running. To address this, simultaneous …

Objective. The gait phase and joint angle are two essential and complementary components
of kinematics during normal walking, whose accurate prediction is critical for lower-limb …

The aim of the present study was to predict the kinematics of the knee and the ankle joints
during a squat training task of different intensities. Lower limb surface electromyographic …