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Issue title: Special Section: Intelligent & fuzzy theory in engineering and science
Guest editors: Teresa Guarda, Isabel Lopes and Álvaro Rocha
Article type: Research Article
Authors: Xia, Chenhong; *
Affiliations: Institute of Physical Education, Xi’an University of Architecture and Technology, Shaanxi, China
Correspondence: [*] Corresponding author. Chenhong Xia, Institute of Physical Education, Xi’an University of Architecture and Technology, Shaanxi, China. E-mail: sports2003-2006@sohu.com.
Note: [1] This article received a correction notice (Erratum) with the reference: 10.3233/JIFS-210001, available at https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs210001.
Abstract: There is a certain correlation between human health and actual exercise. This has always been one of the focuses of many scholars. When analyzing the movement of human body, a lot of modern technology and equipment need to be used. In order to better realize the physical health of young people in our country, the health service system based on sensor technology has been put forward. By introducing accelerometer technology, real-time data capture and analysis of human motion posture and movement trajectory were carried out. At the same time, the reliability of the algorithm was improved. In order to verify the feasibility of the method, a practical case was verified. Experimental results showed that the method was more scientific and reasonable in motion capture analysis.
Keywords: Sensor technology, motion index, health system
DOI: 10.3233/JIFS-179189
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6063-6069, 2019
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