Online mapping of EMG signals into kinematics by autoencoding

201885 citationsJournal Articlegold Open Access

Authors

Ivan Vujaklija · Imperial College London

Vahid Shalchyan · Iran University of Science and Technology

Ernest Nlandu Kamavuako · King's College London

Ning Jiang · University of Waterloo

Hamid Reza Marateb · University of Isfahan

Dario Farina · Imperial College London

Abstract

These results show that autoencoders can map EMG signals into kinematics with the potential of providing intuitive and dexterous control of artificial limbs for amputees.

Topics & Keywords

Muscle activation and electromyography studies Neuroscience and Neural Engineering Advanced Sensor and Energy Harvesting Materials

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: Journal of NeuroEngineering and Rehabilitation

Volume 15, Issue 1, pp. 21-21

DOI: 10.1186/s12984-018-0363-1

Field-Weighted Citation Impact: 4.66