%0 Journal Article
	%A Yucel Ugurlu
	%D 2012
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 65, 2012
	%T Human Interactive E-learning Systems using Head Posture Images
	%U https://publications.waset.org/pdf/16027
	%V 65
	%X This paper explains a novel approach to human interactive e-learning 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 human-computer 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 human-computer interaction in e-learning systems.

	%P 703 - 706