Eye Tracker SE367 Cognitive Science Design Very initial design - - PowerPoint PPT Presentation

eye tracker
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Eye Tracker SE367 Cognitive Science Design Very initial design - - PowerPoint PPT Presentation

Eye Tracker SE367 Cognitive Science Design Very initial design plan One camera on the screen in front which will determine what the user is looking on the screen using lot of machine learning techniques Impractical -> Too much calibration


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Eye Tracker

SE367 Cognitive Science

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Design

Very initial design plan One camera on the screen in front which will determine what the user is looking

  • n the screen using lot of machine learning techniques

Impractical -> Too much calibration required for using every time 2nd Design Plan 2 cameras , one for each eye. One above the head. Becomes very heavy

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Design

Final design

Cameras One top mounted camera Another camera for the eyes IR Using daylight or Lamp IR for the moment

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Working principle

Eye camera Image Only eyeball move in the complete picture Image from head camera

Shows what the subject is looking at

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Processing eye

We obtain position of Iris by processing the eye Since head is stationary with respect to camera, no detection is necessary Iris can be extracted by simple binarization -> median filter -> dilation

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Processing eye

Iris location can be obtained with very high precision

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Gaze point

Using iris location, gaze point is decided on the image obtained from head

  • camera. This part is done using a neural network( using Flood3 Neural Network

library)

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Calibration(not working)

  • User choses initial viewpoints if gaze is marked wrong.
  • Final gaze calculation should be adjusted accordingly.