The integration of blockchain technology in the Internet of Medical Things (IoMT) enhances
user security, convenience and interoperability. It introduces a novel approach to gesture …

This article presents a comprehensive survey of the integration of machine learning
techniques into robotic grasping, with a special emphasis on the challenges and …

This study comprehensively assesses various recurrent neural networks (RNNs) for
decoding the elbow angle from electromyogram (EMG) signals, a crucial aspect in …

Intention detection of the reaching movement is considerable for myoelectric human and
machine collaboration applications. A comprehensive set of handcrafted features was mined …

In physical human robot interaction (pHRI), the interaction profiles, such as impedance and
interaction force are greatly influenced by the operator's muscle activities, impedance and …

In this paper, a system for force estimation based on surface electromyography signals
measured from the eight channels of the Myo armband is presented. We evaluated nineteen …

Loss of hand function due to conditions like stroke or multiple sclerosis significantly impacts
daily activities. Robotic rehabilitation provides tools to restore hand function, while novel …

The electrical activity produced by muscles is recorded by the Electromyography (EMG)
signal, a dynamic biosignal. This dynamic nature represents the complex muscular behavior …