An Efficient Point of Gaze Estimator for Low-Resolution Imaging Systems Using Extracted Ocular Features Based Neural Architecture

by   Atul Sahay, et al.

A user's eyes provide means for Human Computer Interaction (HCI) research as an important modal. The time to time scientific explorations of the eye has already seen an upsurge of the benefits in HCI applications from gaze estimation to the measure of attentiveness of a user looking at a screen for a given time period. The eye tracking system as an assisting, interactive tool can be incorporated by physically disabled individuals, fitted best for those who have eyes as only a limited set of communication. The threefold objective of this paper is - 1. To introduce a neural network based architecture to predict users' gaze at 9 positions displayed in the 11.31 visual range on the screen, through a low resolution based system such as a webcam in real time by learning various aspects of eyes as an ocular feature set. 2.A collection of coarsely supervised feature set obtained in real time which is also validated through the user case study presented in the paper for 21 individuals ( 17 men and 4 women ) from whom a 35k set of instances was derived with an accuracy score of 82.36 and underlying challenges of such systems. The experimental results verify the feasibility and validity of the proposed eye gaze tracking model.


page 2

page 3

page 6


RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking

Accurate eye segmentation can improve eye-gaze estimation and support in...

Non-contact Real time Eye Gaze Mapping System Based on Deep Convolutional Neural Network

Human-Computer Interaction(HCI) is a field that studies interactions bet...

Gaze Gestures and Their Applications in human-computer interaction with a head-mounted display

A head-mounted display (HMD) is a portable and interactive display devic...

Gazing into the Abyss: Real-time Gaze Estimation

Gaze and face tracking algorithms have traditionally battled a compromis...

CalmResponses: Displaying Collective Audience Reactions in Remote Communication

We propose a system displaying audience eye gaze and nod reactions for e...

INADVERT: An Interactive and Adaptive Counterdeception Platform for Attention Enhancement and Phishing Prevention

Deceptive attacks exploiting the innate and the acquired vulnerabilities...

A Neural Architecture for Detecting Confusion in Eye-tracking Data

Encouraged by the success of deep learning in a variety of domains, we i...

Please sign up or login with your details

Forgot password? Click here to reset