Work

Electromyography-based Hand Gesture Recognition System

Year: 2024

Type: book-chapter

Abstract: Electromyography (EMG) is the bio-signal generated in muscles during their activities.EMG is used by clinicians to examine and diagnose the muscles activity, for commanding myo-prosthesis to help amputees overcome their disabilities as well as for human machine interaction applications.These fascinating applications require the classification of the EMG signals into categories depending on the targeted application.In this paper, we tackle hand gesture recognition based on EMG signal, which may be used for different tasks.We design two deep convolutional neural networks, evaluate and compare their performances on the NinaPro dataset.The proposed models show interesting results.

Source: Advances in intelligent systems research/Advances in Intelligent Systems Research

DOI: 10.2991/978-94-6463-496-9_26

Authors: Elhocine Boutellaa, Oussama Kerdjidj, Youcef Amine Taleb, Malika Berroudji, Oussama Azzouzi

Institutions: University of Boumerdes, Centre de Développement des Technologies Avancées

Language: English

Topic: Muscle activation and electromyography studies

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4402009281