Research on smart bracelets based on the expert system and BP neural network

Chunxi Guan; Xing Yu; Lijuan Wan; Xiangyu Song; Yin Si

doi:10.1117/12.3025460

28 February 2024 Research on smart bracelets based on the expert system and BP neural network

Chunxi Guan, Xing Yu, Lijuan Wan, Xiangyu Song, Yin Si

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 1307148 (2024) https://doi.org/10.1117/12.3025460
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

Smart bracelets are composed of multiple sensors, which collect a large amount of data, have diverse data formats, and high data calculation complexity, resulting in slow calculation speed, low data accuracy, and poor fault tolerance, which is not conducive to the widespread application of smart bracelets. To attack these problems, a multi-sensor data fusion method based on expert systems and BP neural networks is proposed. The simulation results show that the data calculation model based on expert systems and BP neural networks greatly improves the computational speed, data accuracy, and robustness of multiple sensors.

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

Citation Download Citation

Chunxi Guan, Xing Yu, Lijuan Wan, Xiangyu Song, and Yin Si "Research on smart bracelets based on the expert system and BP neural network", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 1307148 (28 February 2024); https://doi.org/10.1117/12.3025460

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