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Study of Human Hand-Eye Coordination Using Machine Learning Techniques in a Virtual Reality Setup

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Figure

Figure 1.1: Bottom-up vs top-down visual perception theories (Image adapted from [10]).
Figure 2.3: View of the eye from the eye tracking camera. (a) The image processing algorithmdetects the IR LED reflections and fits an ellipse to the Iris, (b) five IR LED reflections are shownon the surface of the eye and the pupil being color coded by red (c) generated 3D gaze vector andthe proposed sphere fit to the eye ball (courtesy of Pupil Labs Inc.)
Figure 2.4: (a) Flow chart of a supervised machine learning technique (diagram courtesy of [49])and (b) Results for an unsupervised data clustering on a sample data from the VR ball catchingexperiment
Figure 3.3: The raw and trial information data frames as stored during data processing
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