sEMG-Based Gesture Recognition with Convolution Neural Networks

sEMG-Based Gesture Recognition with Convolution Neural Networks

The traditional classification methods for limb motion recognition based on sEMG have been deeply researched and shown promising results. However, information loss during feature extraction reduces the recognition accuracy. To obtain higher accuracy, the deep learning method was introduced. In this...

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Bibliographic Details
Main Authors: Zhen Ding, Chifu Yang, Zhihong Tian, Chunzhi Yi, Yunsheng Fu, Feng Jiang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sustainability
Subjects:
gesture recognition
convolution neural network
surface electromyographic
Online Access:http://www.mdpi.com/2071-1050/10/6/1865

Internet

http://www.mdpi.com/2071-1050/10/6/1865

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