Paper
22 February 2023 Research on health bracelet based on BP neural network algorithm
Author Affiliations +
Proceedings Volume 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022); 125871Q (2023) https://doi.org/10.1117/12.2667287
Event: Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 2022, Shanghai, China
Abstract
The health bracelet composed of multiple sensors has large data acquisition, low data accuracy and poor fault tolerance. Therefore, the market application of health bracelet is limited. To solve the above problems, a multi-sensor data fusion method based on BP neural network is proposed. The simulation results show that the BP neural network model for multi-sensor data fusion processing, greatly improving the data accuracy, operation speed and robustness of multi-sensor.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xianguo Wang, Chunxi Guan, Juan Ding, Huazhang Liu, Meixia Dong, and Min Huang "Research on health bracelet based on BP neural network algorithm", Proc. SPIE 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 125871Q (22 February 2023); https://doi.org/10.1117/12.2667287
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KEYWORDS
Neural networks

Data fusion

Sensors

Evolutionary algorithms

Wearable devices

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