Paper Publications

DOI number:10.1504/IJCAT.2016.073605

Journal:International Journal of Computer Applications in Technology

Funded by:National Natural Science Foundation of China under Grant No. 61272382, 61473331 and 6450905063, the

Key Words:eye control system; eye tracking; HMD; helmet-mounted display; eye gaze; Hough algorithm; pupil recognition.

Abstract: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. 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.

Co-author:彭志平,徐维超,梁琼,王钦若

First Author:熊建斌

Indexed by:Journal paper

Volume:53

Issue:1

Page Number:91-103

Translation or Not:no

Included Journals:SCI