NDLI: A comparative analysis of a neural-based remote eye gaze tracker

Content Provider	IEEE Xplore Digital Library
Author	Nandakumar, H. Amudha, J.
Copyright Year	2014
Description	Author affiliation: Sch. of Eng., Dept. of CSE, Amrita Vishwa Vidyapeetham, Bangalore, India (Nandakumar, H.; Amudha, J.)
Abstract	Remote eye gaze tracker is a nonintrusive system which can give the coordinates of the position., where a person is looking on the screen. This paper gives an extensive analysis of a neural based eye gaze tracker. The eye gaze detection system based on neural network considers the variation of the system behavior with different feature extraction techniques adopted like eye template based features and features based on pupil detection. The performance comparison between these various models has been presented in this paper. The system has also been tested under different lighting conditions and distance from the webcam for different subjects. The performance of the eye gaze tracker based on features computed from the eyes were found to have better performance of 95.8% compared to the template based features.
Starting Page	69
Ending Page	75
File Size	335792
Page Count	7
File Format	PDF
e-ISBN	9781479950263
DOI	10.1109/EmbeddedSys.2014.6953093
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Real-time system Head Tracking Artificial neural networks Feature extraction Eye gaze tracking Vectors Calibration Computer Vision Feature Visual perception
Content Type	Text
Resource Type	Article

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