KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Sleep Mode Detection for Smart TV using Face and Motion Detection

  • Lee, Suwon (Department of Computer Science, Gyeongsang National University) ;
  • Seo, Yong-Ho (Department of Intelligent Robot Engineering, Mokwon University)
  • Received : 2017.09.28
  • Accepted : 2018.03.10
  • Published : 2018.07.31
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Abstract

Sleep mode detection is a significant power management and green computing feature. However, it is difficult for televisions and smart TVs to detect deactivation events because we can use these devices without the assistance of an input device. In this paper, we propose a robust method for smart TVs to detect deactivation events based on a visual combination of face and motion detection. The results of experiments conducted indicate that the proposed method significantly reduces incorrect face detection and human absence by means of motion detection. The results also show that the proposed method is robust and effective for smart TVs to reduce power consumption.

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References

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