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Implementation of Rule-based Smartphone Motion Detection Systems

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(7), pp.45-55
  • DOI : 10.9708/jksci.2021.26.07.045
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 9, 2021
  • Accepted : July 7, 2021
  • Published : July 30, 2021

Eon-Ju Lee 1 Seung-Hui Ryou 1 So-Yun Lee 1 Sung-Yoon Jeon 1 Eun-Hwa Park 1 Jung-Ha Hwang 1 Doo-Hyun Choi ORD ID 1

1경북대학교

Accredited

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.

Citation status

* References for papers published after 2022 are currently being built.