e-Learning 学習者の顔画像解析による感情推定アルゴリズムの研究

概要

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This paper proposes an emotion estimation algorithm from e-Learning users facial image. The algorithm characteristics are as follows: The criteria used to relate an e-Learning uses emotion to a representative emotion were obtained from the time sequential analysis of users facial expressions. By examining the emotions of the e-Learning users and the positional change of the facial expressions from the experiment results, the following procedures are introduce to improve the estimation reliability; (1) some effective features points are chosen by the emotion estimation (2) dividing subjects into two groups by the change rates of the face feature points (3) selection of the eigenvector of the variance-co-variance matrices (cumulative contribution rate>=95%) (4) emotion calculation using Mahalanobis distance.
2009-10-01