Title: Helmet-mounted eye control system for pupil recognition and position

Authors: Jianbin Xiong; Zhiping Peng; Weichao Xu; Qiong Liang; Lin Wang; Qinruo Wang

Addresses: School of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming 525000, China; Guangdong Provincial Key Lab. of Petrochemical Equipment Fault Diagnosis, Maoming 525000, China ' School of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming 525000, China ' School of Automation, Guangdong University of Technology, Guangzhou 51006, China ' School of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming 525000, China ' Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7D2, DK-9220 Aalborg, Denmark ' School of Automation, Guangdong University of Technology, Guangzhou 51006, China

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 micro-positioning. Experimental results show that the proposed system has a higher accuracy than the existing methods.

Keywords: eye control systems; eye tracking; HMD; helmet-mounted displays; eye gaze; Hough algorithm; pupil recognition; pupil position; gaze tracking; limb-disabled people; limb disability; spot detection; black and white images; micro-positioning.

DOI: 10.1504/IJCAT.2016.073605

International Journal of Computer Applications in Technology, 2016 Vol.53 No.1, pp.91 - 103

Received: 22 Jan 2014
Accepted: 16 May 2014

Published online: 13 Dec 2015 *

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