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Sleep Mode Detection for Smart TV using Face and Motion Detectionopen access

Authors
Lee, SuwonSeo, Yong-Ho
Issue Date
31-Jul-2018
Publisher
KSII-KOR SOC INTERNET INFORMATION
Keywords
Sleep mode detection; smart TV; face detection; motion detection; green computing
Citation
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.12, no.7, pp 3322 - 3337
Pages
16
Indexed
SCIE
SCOPUS
KCI
Journal Title
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Volume
12
Number
7
Start Page
3322
End Page
3337
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/11458
DOI
10.3837/tiis.2018.07.018
ISSN
1976-7277
1976-7277
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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Lee, Su Won
IT공과대학 (컴퓨터공학부)
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