A Survey on Classification of Eye-Gaze Tracking Methods
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 703
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شناسه ملی سند علمی:
TECCONF04_003
تاریخ نمایه سازی: 30 شهریور 1398
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
Fatemeh Amel
Department of Computer, Basir University, Qazvin, Iran
Hananeh Salehifar
Department of Computer, Rasht University, Rasht, Iran