Title: Evaluation method of smart bracelet health monitoring accuracy based on multi-level data fusion
Authors: Weicheng Ma; Yanfei Lv
Addresses: Institute of Physical Education, Jilin Sports University, Changchun 130000, China ' Teaching Affairs Office, Jilin Sports University, Changchun 130000, China
Abstract: In the process of smart bracelet health monitoring, there are some problems, such as low efficiency of accuracy evaluation and high fusion error rate. An accuracy evaluation method of smart bracelet health monitoring based on multi-level data fusion. The intelligent bracelet is monitored by information collection, information judgment and information display. The v1.1 temperature acquisition sensor and pulse sensor are selected to measure the temperature, heart rate and blood oxygen saturation. The cloud design and fuzzy information clustering method are used to realise the effective integration of multi-level data and information, and the maximum likelihood estimation model of the health index of the intelligent bracelet is established to obtain the intelligent information evaluation results of the accuracy of health monitoring of bracelet. The experimental results show that the accuracy evaluation efficiency of the proposed method is always above 80%, and the fusion error rate is always below 0.1%.
Keywords: multi-level data fusion; smart bracelet; health monitoring; accuracy evaluation.
International Journal of Product Development, 2022 Vol.26 No.1/2/3/4, pp.117 - 130
Received: 05 Mar 2021
Accepted: 27 Sep 2021
Published online: 07 Sep 2022 *