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Kar, A;Corcoran, P
2017
January
A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms
Published
1
Optional Fields
REAL-TIME EYE DRIVER VISUAL-ATTENTION MULTIPLE LIGHT-SOURCES HEAD-MOUNTED CAMERA TRACKING SYSTEM SINGLE-CAMERA COMPUTER-INTERFACE PUPIL DETECTION NEURAL-NETWORK CALIBRATION
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.
PISCATAWAY
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2169-3536
16495
16519
10.1109/ACCESS.2017.2735633
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