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ThinkMind // ICCGI 2015, The Tenth International Multi-Conference on Computing in the Global Information Technology // View article iccgi_2015_2_10_10054


Facial Part Effects Analysis using Emotion-evoking Videos: Smile Expression

Authors:
Kazuhito Sato
Momoyo Ito
Hirokazu Madokoro
Sakura Kadowaki

Keywords: Psychological measures, stress; Intentional facial expression; Machine learning approaches; Behavior modeling

Abstract:
This study specifically examines the expressive process of "happiness" related facial expressions after giving a stress stimulus. In addition, it presents a quantitative analysis of expressive tempos and rhythms using mutual information. By acquiring image datasets of facial expressions under states of pleasant–unpleasant stimulus for 20 participants, we calculated the information in three region of interests (ROIs): ROI 1, the whole face and the upper face; ROI 2, the whole face and the lower face; and ROI 3 between the upper face and the lower face. Additionally, we tried to express complexity and ambiguity objectively during facial expressions because of human psychological states. Results clarified the possibility of estimating the impression of facial expressions from the magnitude relation and order relation of mutual information of each ROI. More than male participants, female participants were able to create facial expressions of "happiness" easily and intentionally, and were less susceptible to discrepancy expressions.

Pages: 30 to 39

Copyright: Copyright (c) IARIA, 2015

Publication date: October 11, 2015

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-432-9

Location: St. Julians, Malta

Dates: from October 11, 2015 to October 16, 2015

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