Detection of Hidden Laughter for Human-agent Interaction

Our goal is to make a system to detect the times at which one almost laughed but he or she did not show their laughter on his/her face. We define this kind of laughter as hidden laughter. To accomplish this goal, we first tried making decision trees to detect one's amusement, the input data of...

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Bibliographic Details
Published inProcedia computer science Vol. 35; pp. 1053 - 1062
Main Authors Tatsumi, Shiho, Mohammad, Yasser, Ohmoto, Yoshimasa, Nishida, Toyoaki
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2014
Subjects
diaphragm
ECG
FEMG
hidden laughter
laughter
physiological index
SCR
SCR
hidden laughter
ECG
FEMG
diaphragm
physiological index
laughter
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Summary:Our goal is to make a system to detect the times at which one almost laughed but he or she did not show their laughter on his/her face. We define this kind of laughter as hidden laughter. To accomplish this goal, we first tried making decision trees to detect one's amusement, the input data of which were physiological indices. We used 10-fold cross validation to evaluate the trees, and their accuracy was more than 70%. In addition, we investigated the effect of cultural background on the accuracy.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2014.08.192