Behavior detection of the elderly based on language model

Zidong Cui; Xiaoting Wang

doi:10.1117/12.3035501

19 July 2024 Behavior detection of the elderly based on language model

Zidong Cui, Xiaoting Wang

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132132K (2024) https://doi.org/10.1117/12.3035501
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

With the advancement of society, the phenomenon of population aging has evolved into a shared concern among nations worldwide. In response to this pressing challenge, this paper proposes the development of a predictive model for identifying risk events among the elderly. By scrutinizing behavioral patterns and instituting early warning mechanisms for potential hazards, the model aims to discern intricate and individual behaviors, thus bolstering the safety of elderly individuals, particularly those residing alone. Leveraging Kinect camera technology, the model captures human skeletal data alongside YuNet and MnasNet for facial information extraction. This amalgamation of data interprets the language of human body status, subsequently translated into natural language through the employed language model, facilitating high-precision real-time monitoring.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zidong Cui and Xiaoting Wang "Behavior detection of the elderly based on language model", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132132K (19 July 2024); https://doi.org/10.1117/12.3035501

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