TY - JOUR
AU - 
AB -  Existing eye control systems either are expensive or have high computational complexity, difficulties in realising and low detection rate. We propose an integrated and novel Helmet-Mounted Display (HMD) using macro infrared eye gaze tracking and spot detection algorithm that can help the limb-disabled people with healthy eyes. Clear black and white images of the pupil can be obtained by a micro-focus camera system and pre-processing software. We discuss pupil and spot detection method based on the improved Hough algorithm, and the black and white image of the pupil location algorithm, tracking pupil movement by eye tracking. Copyright © 2016 Inderscience Enterprises Ltd. Furthermore, integration of the improved Hough algorithm can reduce the HMD micropositioning. Experimental results show that the proposed system has a higher accuracy than the existing methods. Keywords: eye control system; eye tracking; HMD; helmet-mounted display; eye gaze; Hough algorithm; pupil recognition. Reference to this paper should be made as follows: Xiong, J., Peng, Z., Xu, W., Liang, Q., Wang, L. and Wang. Q. (2016) ` for pupil recognition and position', Int. J. Computer Applications in Technology, Vol. 53, No. 1, pp.91­103. Biographical notes: Jianbin Xiong is a teacher at the School of Computer and Electronic 
TI - Helmet-mounted eye control system for pupil recognition and position
JF - International Journal of Computer Applications in Technology
DO - 10.1504/IJCAT.2016.073605
DA - 2016-01-01
UR - https://www.deepdyve.com/lp/inderscience-publishers/helmet-mounted-eye-control-system-for-pupil-recognition-and-position-GUqc2MqwEY
SP - 91
EP - 103
VL - 53
IS - 1
DP - DeepDyve
ER -