CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise

CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise

Identifying human actions from video data is an important problem in the fields of intelligent rehabilitation assessment. Motion feature extraction and pattern recognition are the two key procedures to achieve such goals. Traditional action recognition models are usually based on the geometric featu...

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Bibliographic Details
Main Authors: Jing Chen, Jiping Wang, Qun Yuan, Zhao Yang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Action recognition
CNN
geometric feature extraction
LSTM
video processing
Clinical and Translational Impact Statement-The proposed algorithm can recognize the complicated actions in rehabilitation training and thus has the potential to realize intelligent rehabilitation assessment for home applications
Online Access:https://ieeexplore.ieee.org/document/10143200/

Internet

https://ieeexplore.ieee.org/document/10143200/

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