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http://dx.doi.org/10.6109/jkiice.2019.23.12.1624

Design and Implementation of Kalman-filter Based User Movement Distance Algorithm Suitable for Domestic Environment  

Jang, Young-Hwan (Dept. of IT Convergence Engineering, Gachon University)
Im, Subong (Dept. of Mobile Software, Gachon University)
Park, Seok-Cheon (Communications Policy Research Center, Yonsei University)
Lee, Bong-Gyou (Graduate School of Information, Yonsei University)
Lee, Sang-Soon (Dept. of Computer Engineering, Gachon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.12, 2019 , pp. 1624-1630 More about this Journal
Abstract
With the increase in there are smart devices penetration around the world, services related to exercise checks are attracting attention. However, there is existing exercise amount measurement service does not use the altitude information, or because the use of an algorithm that does not corrected the GPS altitude error is not accurate movement distance provided have a problem. Therefore, in this paper, to improve the existing problems, Kalman-filter-based user movement distance measurement algorithm is designed and implementation of improved by using the Kalman-filter based GPS and barometric altimeter sensor fusion algorithm to improve the altitude value the accuracy and of calculate the coordinate plane distance. As a result of comparing the designed and implementation of algorithm with the existing algorithms, it is confirmed that the proposed algorithm improves the accuracy by about 2.17%.
Keywords
Kalman-filter; Geographical Grid; Error Covariance; Exercise Distance; Altitude Value;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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