EMG Based Rehabilitation Gesture Recognition Using DAE-CNN-LSTM Hybrid Model

Stroke, as one of the leading causes of long-term disability globally, often results in motor impairments, particularly in the hands, significantly affecting patients' daily activities and causing profound psychological trauma. Rehabilitation gesture recognition, as one of the key means of acti...

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Bibliographic Details

Published in:	2024 World Rehabilitation Robot Convention (WRRC) pp. 1 - 6
Main Authors:	Cao, Wujing, Guo, Xinqiang, Zou, Yupeng, Zhang, Shuo, Luo, Mingxiang, Kobsiriphat, Worawarit, Wu, Xinyu, Yin, Meng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 23.08.2024
Subjects:	Accuracy CNN-LSTM algorithm Convolutional neural networks Deep learning Electromyography Feature extraction Gesture recognition Long short term memory Noise Rehabilitation Stroke Stroke (medical condition) Support vector machines
Online Access:	Get full text
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