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Logical Activity Recognition Model for Smart Home Environment

  • Choi, Jung-In (Dept. of Computer Science and Engineering, Ewha Woman's University) ;
  • Lim, Sung-Ju (Dept. of Computer Science and Engineering, Ewha Woman's University) ;
  • Yong, Hwan-Seung (Dept. of Computer Science and Engineering, Ewha Woman's University)
  • Received : 2015.05.07
  • Accepted : 2015.08.18
  • Published : 2015.09.30

Abstract

Recently, studies that interact with human and things through motion recognition are increasing due to the expansion of IoT(Internet of Things). This paper proposed the system that recognizes the user's logical activity in home environment by attaching some sensors to various objects. We employ Arduino sensors and appreciate the logical activity by using the physical activitymodel that we processed in the previous researches. In this System, we can cognize the activities such as watching TV, listening music, talking, eating, cooking, sleeping and using computer. After we produce experimental data through setting virtual scenario, then the average result of recognition rate was 95% but depending on experiment sensor situation and physical activity errors the consequence could be changed. To provide the recognized results to user, we visualized diverse graphs.

Acknowledgement

Supported by : National Research Foundation of Korea(NRF)

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