The main objective of this work is to establish a framework for processing and evaluating the
lower limb electromyography (EMG) signals ready to be fed to a rehabilitation robot. We …

To find out the feasibility of different neural networks in sEMG-based force estimation, in this
paper, three types of networks, namely convolutional neural network (CNN), long short-term …

EMG-based force estimation is generally done in a subject specific manner. In this paper, we
explore force estimation in a manner generalizable across individuals, where the EMG …

The dynamics of human arms has a high impact on the humans' activities in daily life,
especially when a human operates a tool such as interactions with a robot with the need for …

This paper introduces a progressive assist-as-needed (pAAN) controller into our custom-
made lower limb exoskeleton system. This control strategy can enhance the active …

In the process of improvement of prosthetic devices, there have been efforts to develop
satisfactorily working artificial hands but still lots of work is to be done to meet the accuracy …

In the development of robot-assisted rehabilitation systems for upper limb rehabilitation
therapy, human electromyogram (EMG) is widely used due to its ability to detect the user …

The palmar pinch force estimation is highly relevant not only in biomechanical studies, the
analysis of sports activities, and ergonomic design analyses but also in clinical applications …

Electromyogram (EMG) signal has been long used in human-robot interface in literature,
especially in the area of rehabilitation. Recent rapid development in artificial intelligence (AI) …

To accurately estimate muscle forces using electromyogram (EMG) signals, precise EMG
amplitude estimation, and a modeling scheme capable of coping with the nonlinearities and …