Fitri Utaminingrum, M. Ali Fauzi, Yuita Arum Sari, Renaldi Primaswara, Sigit Adinugroho
Eyes is one of human organs which mostly still functions properly in disabled people when other parts of the body are disabled. This research propose a new framework to recognize and detected eye movement for handling position by considering the decision of both left and right eye. The sophisticated algorithm, Haar Cascade Algorithm was used for observing the area of eyes, then thresholding image using morphology is used to obtain the focus of eyes. The Hough Circle Transform with several rules could decide the handling position of eye movement. The performance of the pro-posed algorithm could reach over 80% in all dataset. © 2016 ACM.
Computer Vision Research Group, Faculty of Computer Science, Brawijaya University, Malang, Indonesia
