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Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(8), pp.95-103
  • DOI : 10.9708/jksci.2019.24.08.095
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 15, 2019
  • Accepted : August 21, 2019
  • Published : August 30, 2019

Jung-Eun Song 1 JungJuHo 1 AHN JUN HO 1

1한국교통대학교

Accredited

ABSTRACT

According to the Statistics Korea in 2017, the 10 leading causes of death contain a cardiac disorder disease, self-injury. In terms of these diseases, urgent assistance is highly required when people do not move for certain period of time. We propose an unusual event detection algorithm to identify abnormal user behaviors using dust, vision and activity sensors in their houses. Vision sensors can detect personalized activity behaviors within the CCTV range in the house in their lives. The pattern algorithm using the dust sensors classifies user movements or dust-generated daily behaviors in indoor areas. The accelerometer sensor in the smartphone is suitable to identify activity behaviors of the mobile users. We evaluated the proposed pattern algorithms and the fusion method in the scenarios.

Citation status

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

This paper was written with support from the National Research Foundation of Korea.