Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection

  • Song, Jung-Eun (Computer Information Technology, Korea National University of Transportation) ;
  • Jung, Ju-Ho (Computer Information Technology, Korea National University of Transportation) ;
  • Ahn, Jun-Ho (Computer Information Technology, Korea National University of Transportation)
  • Received : 2019.07.15
  • Accepted : 2019.08.21
  • Published : 2019.08.30
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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.

Keywords

References

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