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1 GazePointer: A real time Mouse Pointer Control implementation based on Eye Gaze Tracking GazePointer: A real time Mouse Pointer Control implementation based on Eye Gaze Tracking Introduction: The field of Human-Computer Interaction (HCI) has witnessed a tremendous growth in the past decade. The advent of tablet PCs and cell phones allowing touch-based control has been hailed warmly. The researchers in this field have also explored the potential of 'eye-gaze' as a possible means of interaction. Some commercial solutions have already been launched, but they are as yet expensive and offer limited usability. This project strives to develop a low cost real time system for eye-gaze based human-computer interaction. Objectives: Developing an algorithm that will acquire, process and analyze video frames and extract the following: o Face o Head Posture o Eyes Detecting center of Iris (Pupil). Designing an algorithm to detect point of gaze (PoG) from both eyes. Developing a simple calibration method to increase accuracy. Developing a Graphical User Interface (GUI) to show results and conclusions. Extended Objectives:

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GazePointer: A real time Mouse Pointer Control implementation based on Eye Gaze Tracking

GazePointer: A real time Mouse Pointer Control implementation based on Eye

Gaze Tracking

Introduction:The field of Human-Computer Interaction (HCI) has witnessed a tremendous growth in the past decade. The advent of tablet PCs and cell phones allowing touch-based control has been hailed warmly. The researchers in this field have also explored the potential of 'eye-gaze' as a possible means of interaction. Some commercial solutions have already been launched, but they are as yet expensive and offer limited usability. This project strives to develop a low cost real time system for eye-gaze based human-computer interaction.

Objectives:Developing an algorithm that will acquire, process and analyze video frames and extract the following:

o Faceo Head Postureo Eyes

Detecting center of Iris (Pupil).Designing an algorithm to detect point of gaze (PoG) from both eyes.Developing a simple calibration method to increase accuracy.Developing a Graphical User Interface (GUI) to show results and conclusions.

Extended Objectives:

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GazePointer: A real time Mouse Pointer Control implementation based on Eye Gaze Tracking

Methodology:

Figure (1): System Flow Chart

Classification/tracking & learning algorithms will be implemented.

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GazePointer: A real time Mouse Pointer Control implementation based on Eye Gaze Tracking

Deliverables:A GUI which will have following sections:

o Test area (for Mouse Pointer )o Area showing eyes locationo Area showing screen co-ordinates for both eyes and cursor position.o Area showing tabs for controlling pointer speed.

Features:User registrationDistance calculationFace detectionHead posture estimationEyes DetectionPupil/Centre of Iris sensingDiscovering Point of Gaze co-ordinatesPointer Control configuration options

Timeline:

Tools:PC/LAPTOPUSB Webcam / Built-in webcamMATLAB/openCV

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GazePointer: A real time Mouse Pointer Control implementation based on Eye Gaze Tracking

Applications:Mouse controlKeyboard controlAppliances control

o E.g. TV, lights etc.Neuroscience

o Attention investigationo Brain imaging

Study of Human visual attention (Psychology)Aviation/DrivingAdvertising effectiveness

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GazePointer: A real time Mouse Pointer Control implementation based on Eye Gaze Tracking

References:

1. Duchowski, A. T., "A Breadth-First Survey of Eye Tracking Applications", Behavior Research Methods, Instruments, & Computers (BRMIC), 34(4), November 2002, pp.455-470.

2. R.J.K. Jacob and K.S. Karn, “Eye Tracking in Human-Computer Interaction and Usability Research: Ready to Deliver the Promises (Section Commentary),” in The Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research, ed. by J. Hyona, R. Radach, and H. Deubel, pp. 573-605, Amsterdam, Elsevier Science (2003).