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Conferences - See Details
Amer Al-Rahayfeh, and Miad Faezipour, “Eye Tracking and Head Movements Detection to Assist People with Disabilities:
Unveiled”, in Proceedings of the International Joint Conferences on Computer, Information, and Systems Sciences, and
Engineering (CISSE 12), pp. 1-4, , Dec. 2012.
Amer Al-Rahayfeh, and Miad Faezipour, “Enhanced Frame Rate for Real-Time Eye Tracking Using Circular Hough Transform,” in
IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-6, May 2013.
AMER A. AL-RAHAYEH Page 2
Resumé (Continued)
Amer Al-Rahayfeh, and Miad Faezipour, “Enhanced Eye Gaze Direction Classification Using a Combination of Face Detection,
CHT and SVM,” accepted to appear in Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB13),
Polytechnic Institute of NYU, New York,2013.
Amer Al-Rahayfeh, and Miad Faezipour, “Classifiers Comparison for a New Eye Gaze Direction Classification System,” submitted to
the IEEE IEEE Long Island Systems, Applications and Technology Conference (LISAT), 2014.
Amer Al-Rahayfeh, and Miad Faezipour, “Enhanced Combined Eye Gaze Direction Classification and Head Flexion Detection”
submitted to the The American Society for Engineering Education (ASEE) 2014
A. Al-Rahayfeh, and Miad Faezipour, “Application of Head Flexion Detection for Enhancing Eye Gaze Direction Classification”
accepted the IEEE Engineering in Medicine and Biology Society (EMB), 2014.
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