Publication Type : Conference Proceedings
Publisher : Intelligent Systems Technologies and Applications 2016, Springer International Publishing, Cham, p.237–244 .
Source : Intelligent Systems Technologies and Applications 2016, Springer International Publishing, Cham, p.237–244 (2016)
Url : http://dx.doi.org/10.1007/978-3-319-47952-1_18
ISBN : 9783319479521
Keywords : Blink detection, eye movement, Eye tribe, Finite state machine
Campus : Bengaluru
School : School of Engineering
Department : Computer Science
Year : 2016
Abstract : An involuntary action of opening and closing the eye is called blinking. In the proposed work, blink analysis has been performed on different persons performing various tasks. The experimental suite for this analysis is based on the eye gaze coordinate data obtained from commercial eye gaze tracker. The raw data is processed through a FSM(Finite State Machine) modeled to detect the opening and closing state of an eye. The blink rate of a person varies, while performing tasks like talking, resting and reading operations. The results indicate that a person tend to blink more while talking when compared to reading and resting. An important observation from analysis is that the person tends to blink more if he/she is stressed.
Cite this Research Publication : J. Amudha, S. Reddy, R., and Y. Reddy, S., “Blink Analysis using Eye gaze tracker”, in Intelligent Systems Technologies and Applications 2016, J. Manuel Cor Rodriguez, Mitra, S., Thampi, S. M., and El-Alfy, E. - S., Eds. Cham: Springer International Publishing, 2016, pp. 237–244.