A Thesis Submitted to the University of Birmingham for the Degree of Doctor of Philosophy
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چکیده
The Neuro-Linguistic Programming Eye-Accessing Cues model suggests that there is a correlation between eye-movements and the internal processing mode that people employ when accessing their subjective experience. Past research on the model used direct viewing or at best video recording of the subject to select and rate eye-movements. The aforementioned methods are not only error-prone but also have a low-detail output compared to a modern eye-tracker (e.g. time information is missing) thus negatively influencing the reliability of the results. While a plethora of eye-tracker designs is available to date, none of them has been designed to track non-visual eye-movements (eye-movements that are a result of neurophysiological events and are not associated with vision), which tend to range outside the normal visual field and thus perform poorly in such cases. Therefore, this paper introduces a set of novel algorithms for the extraction of relevant eye features (pupil position, iris radius and eye corners) that are combined to calculate the 2D gaze direction and to classify each eye-movement to one of eight classes from the model. The applicability of the eye-tracker is demonstrated through a pilot study that serves as a real-world
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Portfolio of Compositions by Hans Tutschku Submitted to The University of Birmingham for the degree of DOCTOR OF PHILOSOPHY Department of Music School of Humanities The University of Birmingham March 2003
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تاریخ انتشار 2010