EMG- BASED HAND GESTURE RECOGNITION USING DEEP LEARNING AND SIGNAL-TO-IMAGE CONVERSION TOOLS

EMG- BASED HAND GESTURE RECOGNITION USING DEEP LEARNING AND SIGNAL-TO-IMAGE CONVERSION TOOLS

Show other versions (1)

In this paper, deep learning-based hand gesture recognition using surface EMG signals is presented. We use Principal component analysis (PCA) to reduce the data set. Here a threshold-based approach is also proposed to select the principal components (PCs). Then the Continuous wavelet transform (CWT...

Full description

Bibliographic Details
Main Authors: SABRINA AKTER, BIMAL KUMAR PRAMANIK, MD EKRAMUL HAMID
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2023-09-01
Series:Journal of Engineering Studies and Research
Subjects:
EMG, deep learning, CWT, PCA, hand gesture recognition
Online Access:https://jesr.ub.ro/1/article/view/375

Similar Items

Similar Items