The MPI Emotional Body Expressions Database for Narrative Scenarios
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Volkova, Ekaterina | - |
dc.contributor.author | de la Rosa, Stephan | - |
dc.contributor.author | Buelthoff, Heinrich H. | - |
dc.contributor.author | Mohler, Betty | - |
dc.date.accessioned | 2021-09-05T02:15:55Z | - |
dc.date.available | 2021-09-05T02:15:55Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2014-12-02 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/96537 | - |
dc.description.abstract | Emotion expression in human-human interaction takes place via various types of information, including body motion. Research on the perceptual-cognitive mechanisms underlying the processing of natural emotional body language can benefit greatly from datasets of natural emotional body expressions that facilitate stimulus manipulation and analysis. The existing databases have so far focused on few emotion categories which display predominantly prototypical, exaggerated emotion expressions. Moreover, many of these databases consist of video recordings which limit the ability to manipulate and analyse the physical properties of these stimuli. We present a new database consisting of a large set (over 1400) of natural emotional body expressions typical of monologues. To achieve close-to-natural emotional body expressions, amateur actors were narrating coherent stories while their body movements were recorded with motion capture technology. The resulting 3-dimensional motion data recorded at a high frame rate (120 frames per second) provides fine-grained information about body movements and allows the manipulation of movement on a body joint basis. For each expression it gives the positions and orientations in space of 23 body joints for every frame. We report the results of physical motion properties analysis and of an emotion categorisation study. The reactions of observers from the emotion categorisation study are included in the database. Moreover, we recorded the intended emotion expression for each motion sequence from the actor to allow for investigations regarding the link between intended and perceived emotions. The motion sequences along with the accompanying information are made available in a searchable MPI Emotional Body Expression Database. We hope that this database will enable researchers to study expression and perception of naturally occurring emotional body expressions in greater depth. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | PUBLIC LIBRARY SCIENCE | - |
dc.subject | POINT-LIGHT | - |
dc.subject | PERCEPTION | - |
dc.subject | MOTION | - |
dc.subject | RECOGNITION | - |
dc.subject | CORPUS | - |
dc.subject | MOVEMENT | - |
dc.subject | LANGUAGE | - |
dc.subject | BODIES | - |
dc.title | The MPI Emotional Body Expressions Database for Narrative Scenarios | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Buelthoff, Heinrich H. | - |
dc.identifier.doi | 10.1371/journal.pone.0113647 | - |
dc.identifier.scopusid | 2-s2.0-84914680441 | - |
dc.identifier.wosid | 000345869700041 | - |
dc.identifier.bibliographicCitation | PLOS ONE, v.9, no.12 | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.citation.title | PLOS ONE | - |
dc.citation.volume | 9 | - |
dc.citation.number | 12 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | POINT-LIGHT | - |
dc.subject.keywordPlus | PERCEPTION | - |
dc.subject.keywordPlus | MOTION | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | CORPUS | - |
dc.subject.keywordPlus | MOVEMENT | - |
dc.subject.keywordPlus | LANGUAGE | - |
dc.subject.keywordPlus | BODIES | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.