%0 Journal Article
%T Study on Method of Semantic Extraction Based on Eye Tracking
%A WANG Gang
%J Journal of Chongqing Normal University
%D 2013
%I Chongqing Normal University
%X It is important for recommendation system of E business to predicate consumer's habits by eyes gaze tracking.We explore algorithms to identify people's enjoyment by referencing Find s algorithm£¬it includes getting the weight of eyes parameters by getting the distance of object examples and negative examples£¬eyes parameters include the eye gazing time£¬the pupil size£¬the blink times and the looking back times.We use SEBET (Semantic Extraction Based Eye Tracking) algorithm to calculate the distance of object examples and negative examples£¬so we can decide whether consumers enjoy the goods or not from the distance£¬we extract the emotion semantic from eye tracking successfully.Experiments show the efficiency of our algorithm.
%K eye tracking£»semantic£»affection computing£»E business
%U http://journal.cqnu.edu.cn/1301/pdf/130116.pdf