Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities

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dc.contributor.authorAristidou, Andreasen_US
dc.contributor.authorCharalambous, Panayiotisen_US
dc.contributor.authorChrysanthou, Yiorgosen_US
dc.contributor.editorDeussen, Oliver and Zhang, Hao (Richard)en_US
dc.date.accessioned2015-10-12T13:32:48Z
dc.date.available2015-10-12T13:32:48Z
dc.date.issued2015en_US
dc.description.abstractThe increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods.The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA).en_US
dc.description.number6en_US
dc.description.sectionheadersArticlesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12598en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12598en_US
dc.publisherCopyright © 2015 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectbehavioural animationen_US
dc.subjectmotion captureen_US
dc.subjectmotion analysisen_US
dc.subjectemotion classificationen_US
dc.subjectH.3.1 Content Analysis and Indexing: Indexing methods—; I.3.7 Three‐Dimensional Graphics and Realism: Animationen_US
dc.titleEmotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entitiesen_US
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