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http://dx.doi.org/10.9708/jksci.2021.26.07.045

Implementation of Rule-based Smartphone Motion Detection Systems  

Lee, Eon-Ju (Mobile Engineering Major, Kyungpook National University)
Ryou, Seung-Hui (Mobile Engineering Major, Kyungpook National University)
Lee, So-Yun (Mobile Engineering Major, Kyungpook National University)
Jeon, Sung-Yoon (Mobile Engineering Major, Kyungpook National University)
Park, Eun-Hwa (Mobile Engineering Major, Kyungpook National University)
Hwang, Jung-Ha (School of Electronic and Electrical Engineering, Kyungpook National University)
Choi, Doo-Hyun (School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.7, 2021 , pp. 45-55 More about this Journal
Abstract
Information obtained through various sensors embedded in a smartphone can be used to identify and analyze user's movements and situations. In this paper, we propose two rule-based motion detection systems that can detect three alphabet motions, 'I', 'S', and 'Z' by analyzing data obtained by the acceleration and gyroscope sensors in a smartphone. First of all, the characteristics of acceleration and angular velocity for each motion are analyzed. Based on the analysis, two rule-based systems are proposed and implemented as an android application and it is used to verify the detection performance for each motion. Two rule-based systems show high recognition rate over 90% for each motion and the rule-based system using ensemble shows better performance than another one.
Keywords
Smartphone Sensors; Acceleration Sensors; Gyroscope Sensors; Motion Recognition; Rule-Based System;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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