Papers Papers/2020



Paper Unlock

Authors: P. Tsinganos 1 ; B. Cornelis 2 ; J. Cornelis 2 ; B. Jansen 2 and A. Skodras 1

Affiliations: 1 University of Patras, Department of Electrical and Computer Engineering, 26504 Patras and Greece ; 2 Vrije Universiteit Brussel, Department of Electronics and Informatics, 1050 Brussels and Belgium

Keyword(s): sEMG, Gesture Recognition, Deep Learning, CNN.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Biosignal Acquisition, Analysis and Processing ; Computational Intelligence ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: In recent years, Deep Learning methods have been successfully applied to a wide range of image and speech recognition problems highly impacting other research fields. As a result, new works in biomedical engineering are directed towards the application of these methods to electromyography-based gesture recognition. In this paper, we present a brief overview of Deep Learning methods for electromyography-based hand gesture recognition along with an analysis of a modified simple model based on Convolutional Neural Networks. The proposed network yields a 3% improvement on the classification accuracy of the basic model, whereas the analysis helps in understanding the limitations of the model and exploring new ways to improve the performance.


Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tsinganos, P.; Cornelis, B.; Cornelis, J.; Jansen, B. and Skodras, A. (2018). Deep Learning in EMG-based Gesture Recognition. In Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS, ISBN 978-989-758-329-2; ISSN 2184-321X, pages 107-114. DOI: 10.5220/0006960201070114

author={P. Tsinganos. and B. Cornelis. and J. Cornelis. and B. Jansen. and A. Skodras.},
title={Deep Learning in EMG-based Gesture Recognition},
booktitle={Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,},


JO - Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,
TI - Deep Learning in EMG-based Gesture Recognition
SN - 978-989-758-329-2
IS - 2184-321X
AU - Tsinganos, P.
AU - Cornelis, B.
AU - Cornelis, J.
AU - Jansen, B.
AU - Skodras, A.
PY - 2018
SP - 107
EP - 114
DO - 10.5220/0006960201070114