NDLI: Towards a minimal representation of affective gestures (Extended abstract)

Content Provider	IEEE Xplore Digital Library
Author	Glowinski, D. Mortillaro, M. Scherer, K. Dael, N. Volpe, G. Camurri, A.
Copyright Year	2015
Description	Author affiliation: Swiss Center for Affective Sci., Univ. of Geneva, Geneva, Switzerland (Glowinski, D.; Mortillaro, M.; Scherer, K.) \|\| Casa Paganini - InfoMus, Univ. of Genoa, Genoa, Italy (Volpe, G.; Camurri, A.) \|\| Inst. of Psychol., Univ. of Lausanne, Lausanne, Switzerland (Dael, N.)
Abstract	How efficiently decoding affective information when computational resources and sensor systems are limited? This paper presents a framework for analysis of affective behavior starting with a reduced amount of visual information related to human upper-body movements. The main goal is to individuate a minimal representation of emotional displays based on non-verbal gesture features. The GEMEP (Geneva multimodal emotion portrayals) corpus was used to validate this framework. Twelve emotions expressed by ten actors form the selected data set of emotion portrayals. Visual tracking of trajectories of head and hands was performed from a frontal and a lateral view. Postural/shape and dynamic expressive gesture features were identified and analyzed. A feature reduction procedure was carried out, resulting in a four-dimensional model of emotion expression, that effectively classified/grouped emotions according to their valence (positive, negative) and arousal (high, low). These results show that emotionally relevant information can be detected/measured/obtained from the dynamic qualities of gesture. The framework was implemented as software modules (plug-ins) extending the EyesWeb XMI Expressive Gesture Processing Library and was tested as a component for a multimodal search engine in collaboration with Google within the EU-ICT I-SEARCH project.
Starting Page	498
Ending Page	504
File Size	3832641
Page Count	7
File Format	PDF
ISSN	21568111
e-ISBN	9781479999538
DOI	10.1109/ACII.2015.7344616
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Psychology Kinematics Feature extraction Trajectory Emotion Face Automatic body features extraction
Content Type	Text
Resource Type	Article

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