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Conference Paper
Multiple Main User Recognition
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- Authors
- Hye-Jin S. Kim, Il-Kwon Jeong
- Issue Date
- 2018-02
- Citation
- International Conference on Advanced Communications Technology (ICACT) 2018, pp.59-62
- Language
- English
- Type
- Conference Paper
- Project Code
- 17MF1400, Development of Interactive and Realistic Massive Giga-Content Technology, Il Kwon Jeong
- Abstract
- We present a method for selecting main users among multiple candidates. For human-machine interaction, a machine choose a single or multiple users to interact with them. The proposed method provides an ordered user probability that indicates whether one can be a main user. We estimate various features such as distance to a user, eye detection, gaze direction, moving velocity, and acceleration. Experiments show that our algorithm effectively differentiates main users from the others.
- KSP Keywords
- Gaze direction, Human-machine interaction(HMI), User recognition, eye detection, multiple users