Gaze Recognition and Application

Fang Ming Yu; Tsai Cheng Li

doi:10.4028/www.scientific.net/AMR.650.553

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 650Gaze Recognition and Application

Gaze Recognition and Application

Abstract:

This paper asserts a method of controlling the cursor based on the Fisher linear discriminant (FLD) analysis to recognize six classifications of human face movements, which are face movements upwards, downwards, leftwards, rightwards, blinking of the right eye and blinking of the left eye. These classifications represent cursor movements upward, downwards, leftwards, rightwards, and the right or left button on the mouse respectively. This method can be separated into two areas: face detection and gaze recognition. Face detection is to convert the RGB color space into YCbCr in order to segment skin tone areas, where the human face area is located by using the connect component labeling method. Gaze recognition is accomplished by building a gaze recognition training model parameter through FLD algorithm. Then, by using the Euclidean distance as the rule of decision, match the detected facial image to the parameters of this model to find the shortest Euclidean distance and its corresponding classification to control cursor movements.

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Periodical:

Advanced Materials Research (Volume 650)

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553-558

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.650.553

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Online since:

January 2013

Authors:

Fang Ming Yu, Tsai Cheng Li

Keywords:

Discriminant Analysis, Face Detection, Image Processing

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