Research on motion state detection based on multi-modal analysis

Ying Tang; Jun Wang

doi:10.1117/12.3013340

29 November 2023 Research on motion state detection based on multi-modal analysis

Ying Tang, Jun Wang

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 129370B (2023) https://doi.org/10.1117/12.3013340
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

Motion state detection is related to athletes' training, improvement of quality of life and daily health monitoring. The traditional motion state detection is often only analyzed by single-modal data such as video, which can't realize real-time detection of motion state, and the detection results are quite different from the actual results. In order to realize the realtime monitoring of the athlete's motion state, this study combines the knowledge of exercise physiology and other related knowledge, and uses the method of combining image and heart rate detection to realize the classification and analysis of motion state. Firstly, the image acquisition device and heart rate detection device are used to obtain the image and heart rate data of the exerciser, and the data is processed. Then feature extraction is performed on the collected data, and a motion state classification model is constructed using the key features of the extracted image and heart rate data. By setting up control experiments under different motion states, data acquisition and experimental design are carried out. The experimental results show that the proposed method is compared with a variety of latest detection models. The accuracy of this method is as high as 97.6% in the classification of motion states, and it can effectively distinguish the heart rate changes under different motion states.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ying Tang and Jun Wang "Research on motion state detection based on multi-modal analysis", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 129370B (29 November 2023); https://doi.org/10.1117/12.3013340

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KEYWORDS

Heart

Motion detection

Motion analysis

Feature extraction

Detection and tracking algorithms

Image processing

Data acquisition

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