JOURNAL ARTICLE

Review on real-time EMG acquisition and hand gesture recognition system

Nilima PatilS. R. Patil

Year: 2017 Journal:   2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pages: 694-696

Abstract

A large number of impairments and disabilities in human body is increasing day by day. So to improve the quality of life of disabled people researchers think on the necessity of simple and natural human-machine control interface. For the human-machine interface various biomedical signals acquired from a specialized tissue, organ or cell system like the nervous system. Bio signal like EMG signal is used in various applications including identifying neuromuscular diseases, control signal for prosthetic devices, controlling machines, robots etc. EMG based hand gesture can help to develop good human-machine interface. This present an embedded solution for real-time EMG based hand gesture recognition. It involves acquisition of EMG signal, hand gesture recognition and controlling. EMG based hand gesture recognition is easy to build and a low cost system.

Keywords:
Gesture Gesture recognition Computer science Interface (matter) SIGNAL (programming language) Speech recognition Artificial intelligence Human–computer interaction

Metrics

12
Cited By
4.27
FWCI (Field Weighted Citation Impact)
11
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Muscle activation and electromyography studies
Physical Sciences →  Engineering →  Biomedical Engineering
EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction

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