A Survey on Classification of Eye-Gaze Tracking Methods
Publish Year: 1397
Type: Conference paper
Language: English
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Document National Code:
TECCONF04_003
Index date: 21 September 2019
A Survey on Classification of Eye-Gaze Tracking Methods abstract
Study of eye-movement is being employed in Human Computer Interaction (HCI) research. Despite active research and significant progress in the last 30 years, eye detection and tracking remains challenging due to the individuality of eyes, occlusion, and variability in scale, location, and light conditions. Data on eye location and details of eye movements have numerous applications and are essential in face detection, biometric identification, and particular human-computer interaction tasks. Large number of research on gaze direction has been given and improved in statistics, organizational behavior, etc. Details of gaze methods are essential conditions for human-computer interactive control, human intention prediction, expression analysis, cognitive state analysis. The goal of this paper is to present a review of latest research in this continued growth of remote eye-gaze tracking. This overview includes the basic definitions and terminologies, recent advances in the field and finally the need of future development in the field.
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A Survey on Classification of Eye-Gaze Tracking Methods authors
Fatemeh Amel
Department of Computer, Basir University, Qazvin, Iran
Hananeh Salehifar
Department of Computer, Rasht University, Rasht, Iran