COMPLEX NETWORK PROPERTIES OF EYE-TRACKING IN THE FACE RECOGNITION PROCESS - An Initial Study

Eye-tracking sequences can be considered in terms of complex networks. On the basis of complex network representation of eye-tracking data, we define a measure, derived from rough set theory, for assessing the cohesion of saccade connections between object components identified in visual stimuli used in eye-tracking experiments. Rough sets are an appropriate tool to deal with rough (ambiguous, imprecise) concepts. Theoretical foundations given in the paper are supplemented with a numerical example explaining the proposed approach.

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Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them

Jaskuła

Szkoła

Pancerz

et al. 2016

Proceedings of the 9th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BIONE

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COMPLEX NETWORK PROPERTIES OF EYE-TRACKING IN THE FACE RECOGNITION PROCESS - An Initial Study

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Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them

Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them

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