A Study On Face, Eye Detection And Gaze Estimation

Orman, Zeynep; Battal, Abdulkadir; Kemer, Erdem

doi:10.5121/ijcses.2011.2303

Cited by 19 publications

(8 citation statements)

References 36 publications

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“…If the coil is attached to the eye, then a signal of eye position will be produced. Although it is an invasive method and invaluable research tool but it require something to be placed into the eye and is rarely used clinically [4]. Another estimation of eye gaze technique uses electrooculography (EOG) for detecting eye movement by measuring small differences in the skin potential of the retina [14].…”

Section: Eye Gaze Techniquesmentioning

confidence: 99%

“…The existence of face is determined with the help of sub templates and the correlation values. These values are computed for the face contour, eyes, nose and mouth independently [4]. In principle, the template matching technique is weak in pattern rotations and scale changes [8].…”

Section: Eye Gaze Techniquesmentioning

confidence: 99%

“…This projection matches the signature of the feature to be detected. The eigenspace method shows better performance than the template matching method, but its performance is largely dependent on the choice of training database set [4,32].…”

Section: Eye Gaze Techniquesmentioning

confidence: 99%

“…The 3D based model eye tracking systems require one time system and geometric calibration with natural head movements [4,25,35]. Although the 3D-based method is more accurate than the 2D-based one, the former requires much more processing time and requires complicated calibrations between the camera and monitor, which makes it difficult to be used for large-sized display interfaces [34].…”

Section: Eye Gaze Techniquesmentioning

confidence: 99%

“…Especially eye localization algorithm also help in accurate face recognition. Face detection techniques are very significant in fields like image processing, pattern recognition and authentication and also help in interactive and real time applications of computer vision [4,5]. Hand gesture based methods use the hand, as an input device without any physical touch.…”

Section: Introductionmentioning

confidence: 99%

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Eye Gaze Techniques for Human Computer Interaction: A Research Survey

Sharma¹,

Abrol²

2013

IJCA

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Human Computer Interaction (HCI) is an emerging technology. Eye gaze technique is one of the very significant techniques of HCI and can be used as hands free pointing tool enabling hands-free operation of the display for the user. The important advantage in using eye gaze systems is that the user can communicate from a distance, and there is no requirement of physical contact with the computer. Investigation of eye gaze helps to understand various aspects of the user like attention, intention, desire and area of interest etc. The eye gaze detection techniques can be classified on the basis of direct eye detection, appearance, template, shape, feature, motion, hybrid, regression, 3D methods etc. There are significant factors like shape and size of the object, distance from the subject, texture, light conditions, colour, orientation, head movement, calibration which may influence and affect the efficiency and effectiveness of the eye gaze detection. The use of the gaze as a human computer interface in different fields is an example of high end applications of these techniques. Eye detection is being used in many real time and interactive high end applications. These include the tracking and analyzing of driver"s behaviour with the head pose detection. It is being used for assessing consumer"s shopping behaviour, pointing and selection, activating commands and combinations with other pointing devices, in surgical and medical applications. Moreover eye gaze techniques are also useful for designing and development of various devices especially for differently abled users.In this paper an extensive research survey has been carried out to understand and analyze the study of various eye gaze techniques, algorithms and models. On the basis of survey of various techniques of eye gaze, a general overview of different phases of eye gaze processing has been presented. Certain technical factors have been identified that are significant and relevant for the working of the models. In the literature survey a number of parameters that are significant for estimation, detection, better efficiency and accuracy of eye gaze techniques have been studied and analysed. A comparison and analytical discussion of different eye gaze techniques and models have been presented. The analysis and classification of the models shall be helpful for further improvement and optimization in the performance and accuracy of eye gaze techniques. General TermHuman computer interaction. KeywordsEye gaze techniques and models, feature based classification and comparison, phases, gaze detection and estimation.

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Section: Eye Gaze Techniquesmentioning

confidence: 99%

Section: Eye Gaze Techniquesmentioning

confidence: 99%

Section: Eye Gaze Techniquesmentioning

confidence: 99%