Yucel Ugurlu
Human Interactive Elearning Systems using Head Posture Images
703 - 706
2012
6
5
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/16027
https://publications.waset.org/vol/65
World Academy of Science, Engineering and Technology
This paper explains a novel approach to human interactive elearning systems using head posture images. Students face and hair information are used to identify a human presence and estimate the gaze direction. We then define the humancomputer interaction level and test the definition using ten students and seventy different posture images. The experimental results show that head posture images provide adequate information for increasing humancomputer interaction in elearning systems.
Open Science Index 65, 2012