Research on action recognition algorithm of aging square dance app based on image deep learning

Yao Lu; Sixuan He; Xinyu Mu

doi:10.1117/12.3032955

5 July 2024 Research on action recognition algorithm of aging square dance app based on image deep learning

Yao Lu, Sixuan He, Xinyu Mu

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131843R (2024) https://doi.org/10.1117/12.3032955
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Aging is a problem faced by many countries. China's aging is becoming more and more serious, and the physical and mental health of the elderly is a problem that can not be ignored. As an entertainment activity, square dance APP can realize the interaction between people and mobile phones. When the elderly participate in square dance interactive activities, on the one hand, they can eliminate most negative emotions by interacting with machines; On the other hand, participating in APP activities can improve hand-brain collocation and reduce the occurrence of Alzheimer's disease. Based on the analysis of the psychological and behavioral characteristics of the elderly when participating in square dance, the recognition of body motion itself has great flexibility and diversity, and the analysis of movements also involves the processing of background and noise. Combined with the research of somatosensory game development elements and design methods, noise elimination and frame rate adjustment are realized from the process of image acquisition and image preprocessing based on image depth learning. 2DCNN, Time Displacement Module (TSM), RNN modeling timedependent feature fusion extraction, Adam optimizer optimization, Euclidean distance to judge the similarity of images, discriminate square dance action recognition. Experimental results show that this method can effectively recognize somatosensory gestures, hoping that this result can provide a new idea for the development of somatosensory games.

Citation Download Citation

Yao Lu, Sixuan He, and Xinyu Mu "Research on action recognition algorithm of aging square dance app based on image deep learning", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131843R (5 July 2024); https://doi.org/10.1117/12.3032955

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KEYWORDS

Action recognition

Video

Image processing

Feature extraction

Video processing

Image quality

Detection and tracking algorithms

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