@article{(Open Science Index):https://publications.waset.org/pdf/16027, title = {Human Interactive E-learning Systems using Head Posture Images}, author = {Yucel Ugurlu}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Computer and Information Engineering}, volume = {6}, number = {5}, year = {2012}, pages = {703 - 706}, ee = {https://publications.waset.org/pdf/16027}, url = {https://publications.waset.org/vol/65}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 65, 2012}, }