Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3837/tiis.2018.07.018 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
Sleep mode detection,smart TV,face detection,motion detection,green computing | Motion detection,Computer science,Computer network,Real-time computing,Sleep mode | Journal |
Volume | Issue | ISSN |
12 | 7 | 1976-7277 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suwon Lee | 1 | 0 | 2.37 |
| Yong-Ho Seo | 2 | 43 | 16.26 |