Identification of Eye Movements from Nonfrontal F

Authors: Min Lin Bin Li QiaoHong Liu

Publish Date: 2015/03/14

Volume: 11, Issue: 5, Pages: 543-554

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Abstract

The novel eyebased humancomputer interaction HCI system aims to provide people especially disabled persons a new way of communication with surroundings It adopts a series of continual eye movements as input to perform simple control activities Identification of eye movements is the crucial technology in these eyebased HCI systems At present researches on eye movement identification mainly focus on frontal face images In fact acquisition of nonfrontal face images is more reasonable in real applications In this paper we discuss the identification process of eye movements from nonfrontal face images Firstly the original headshoulder images of 0°–±60° azimuths are sampled without any auxiliary light source Secondly the nonfrontal face region is detected by using the Adaboost cascade classifiers After that we roughly extract eye windows by the integral projection function Then we propose a new method to calculate the x − y coordinates of the pupil center point by searching the minimal intensity value in the eye windows According to the trajectory of the pupil center points different eye movements eye moving left right up or down are successfully identified A set of experiments is presentedToday there are many new technologies studied for thousands of disabled persons to aid their communication and mobility in order to increase their life quality and allow them a more autonomous and independent life style and greater chances of social integration1 2 The intelligent humancomputer interaction HCI system based on visual information is one of these innovation technologies which are becoming more and more popularThe VOG system encompasses a number of component technologies including spatial eye position tracking eyegaze tracking eye closure state tracking eye movement tracking and pupil size monitoring3 Among these technologies the eye gaze tracking and the eye movement tracking are easily confused by researchers In fact they have different working principles and application fieldsPCCR method used to calculate the pointofgaze POG The parameters are radius of the cornea r distance from the center of the cornea to the center of the pupil r d and the index of refraction of the aqueous humor n The center of the cornea is located at point c and the center of the pupil is located at point p c The optical axis L is the vector formed from c to p c and the POG p is the intersection of the OA with the monitor plane

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