Abstract

As eye tracking is becoming available in wearable or portable devices, eye movement (EM) analysis will be used to provide real time alerts, feedback, and/or assistive information for diversified objectives when performing tasks. However, we lack the methodologies to effectively analyze real time EM attributes including eye fixation numbers, durations, and especially visual scanpath sequences (i.e. time-ordered eye fixation sequences). Therefore, a systematic approach to analyze real time EM data is introduced through proposing the concepts of hierarchical areas of interest (HAOIs) and objective-based EM attribute thresholds. The framework will facilitate the automatic analysis of real time EM data with minimal human intervention or analysis efforts.

Full Text
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