Abstract
This paper investigates the recognition of the Eye Accessing Cues (EACs) used in Neuro-Linguistic Programming (NLP) and shows how computer vision techniques can be used for understanding the meaning of non-visual gaze directions. Any specific EAC is identified by the relative position of the iris within the eye bounding box, which is determined from modified versions of the classical integral projections. The eye cues are inferred via a logistic classifier from features extracted within the eye bounding box. The here proposed solution is shown to outperform in terms of detection rate other classical approaches.
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Vrânceanu, R., Florea, C., Florea, L., Vertan, C. (2013). NLP EAC Recognition by Component Separation in the Eye Region. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_28
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DOI: https://doi.org/10.1007/978-3-642-40246-3_28
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