MyoNet: A Transfer-Learning-Based LRCN for Lower Limb Movement Recognition and Knee Joint Angle Prediction for Remote Monitoring of Rehabilitation Progress From sEMG

MyoNet: A Transfer-Learning-Based LRCN for Lower Limb Movement Recognition and Knee Joint Angle Prediction for Remote Monitoring of Rehabilitation Progress From sEMG

The clinical assessment technology such as remote monitoring of rehabilitation progress for lower limb related ailments rely on the automatic evaluation of movement performed along with an estimation of joint angle information. In this paper, we introduce a transfer-learning based Long-term Recurren...

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Bibliographic Details
Main Authors: Arvind Gautam, Madhuri Panwar, Dwaipayan Biswas, Amit Acharyya
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
sEMG
movement classification
joint angle prediction
signal processing
LSTM
CNN
Online Access:https://ieeexplore.ieee.org/document/8998129/

Internet

https://ieeexplore.ieee.org/document/8998129/

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