A review and analysis of eye-gaze estimation systems, algorithms and performance evaluation methods in consumer platforms

Anuradha Kar; Peter Corcoran

doi:10.1109/ACCESS.2017.2735633

A review and analysis of eye-gaze estimation systems, algorithms and performance evaluation methods in consumer platforms

Anuradha Kar, Peter Corcoran

Electrical & Electronic Engineering

University of Galway

Research output: Contribution to a Journal (Peer & Non Peer) › Review article › peer-review

239 Citations (Scopus)

Abstract

In this paper, a review is presented for the research on eye gaze estimation techniques and applications, which has progressed in diverse ways over the past two decades. Several generic eye gaze use-cases are identified: Desktop, TV, head-mounted, automotive, and handheld devices. Analysis of the literature leads to the identification of several platform specific factors that influence gaze tracking accuracy. A key outcome from this review is the realization of a need to develop standardized methodologies for the performance evaluation of gaze tracking systems and achieve consistency in their specification and comparative evaluation. To address this need, the concept of a methodological framework for practical evaluation of different gaze tracking systems is proposed.

Original language	English
Article number	8003267
Pages (from-to)	16495-16519
Number of pages	25
Journal	IEEE Access
Volume	5
DOIs	https://doi.org/10.1109/ACCESS.2017.2735633
Publication status	Published - 5 Aug 2017

Keywords

accuracy
error sources
Eye gaze
gaze estimation
performance evaluation
user platforms

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10.1109/ACCESS.2017.2735633

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title = "A review and analysis of eye-gaze estimation systems, algorithms and performance evaluation methods in consumer platforms",

abstract = "In this paper, a review is presented for the research on eye gaze estimation techniques and applications, which has progressed in diverse ways over the past two decades. Several generic eye gaze use-cases are identified: Desktop, TV, head-mounted, automotive, and handheld devices. Analysis of the literature leads to the identification of several platform specific factors that influence gaze tracking accuracy. A key outcome from this review is the realization of a need to develop standardized methodologies for the performance evaluation of gaze tracking systems and achieve consistency in their specification and comparative evaluation. To address this need, the concept of a methodological framework for practical evaluation of different gaze tracking systems is proposed.",

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AB - In this paper, a review is presented for the research on eye gaze estimation techniques and applications, which has progressed in diverse ways over the past two decades. Several generic eye gaze use-cases are identified: Desktop, TV, head-mounted, automotive, and handheld devices. Analysis of the literature leads to the identification of several platform specific factors that influence gaze tracking accuracy. A key outcome from this review is the realization of a need to develop standardized methodologies for the performance evaluation of gaze tracking systems and achieve consistency in their specification and comparative evaluation. To address this need, the concept of a methodological framework for practical evaluation of different gaze tracking systems is proposed.

KW - accuracy

KW - error sources

KW - Eye gaze

KW - gaze estimation

KW - performance evaluation

KW - user platforms

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JO - IEEE Access

JF - IEEE Access

M1 - 8003267

ER -

A review and analysis of eye-gaze estimation systems, algorithms and performance evaluation methods in consumer platforms

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Keywords

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