Research on Multi-Technology Fusion for Physical Activity Statistics

Zhuoran Wu

doi:10.47297/wspciWSP2516-252710.20261003

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Research on Multi-Technology Fusion for Physical Activity Statistics

Volume 10, Issue 3

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Research on Multi-Technology Fusion for Physical Activity Statistics
Research on Multi-Technology Fusion for Physical Activity Statistics
Zhejiang Gongshang University, Hangzhou, Zhejiang, 310018, China
Vol. 10, Issue 3, Pages: 47-51(2026)
Online First：07 August 2026，

Published：30 June 2026
DOI：10.47297/wspciWSP2516-252710.20261003
Accepted：

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Wu Zhuoran.Research on Multi-Technology Fusion for Physical Activity Statistics[J].Creativity and Innovation,2026,10(03):47-51.
DOI：

Wu Zhuoran.Research on Multi-Technology Fusion for Physical Activity Statistics[J].Creativity and Innovation,2026,10(03):47-51. DOI： 10.47297/wspciWSP2516-252710.20261003.

摘要

Abstract

With the development of mobile health technology and the improvement of public health management awareness

physical activity statistics have become the core function of smart wearable devices and chronic disease prevention and control platforms. However

current single-sensor monitoring technologies face bottlenecks such as algorithm black boxes

environmental interference

difficult data interpretation

and high power consumption

which restrict the accuracy and practicability of statistics. This study constructs a unified theoretical framework for kinematic-physiological monitoring and multi-sensor fusion

analyzes the characteristics of core sensor technologies

designs a multi-technology fusion recognition process

and verifies the effectiveness of this method in improving the accuracy of physical activity statistics and reducing environmental interference

providing technical support for applications in related fields.

关键词

Keywords

references

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