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Towards Affective Sensing

McIntyre, Gordon; Goecke, Roland

Description

This paper describes ongoing work towards building a multimodal computer system capable of sensing the affective state of a user. Two major problem areas exist in the affective communication research. Firstly, affective states are defined and described in an inconsistent way. Secondly, the type of training data commonly used gives an oversimplified picture of affective expression. Most studies ignore the dynamic, versatile and personalised nature of affective expression and the influence that...[Show more]

dc.contributor.authorMcIntyre, Gordon
dc.contributor.authorGoecke, Roland
dc.coverage.spatialBeijing China
dc.date.accessioned2015-12-10T21:57:40Z
dc.date.createdJuly 22-27 2007
dc.identifier.isbn3540731083
dc.identifier.urihttp://hdl.handle.net/1885/39879
dc.description.abstractThis paper describes ongoing work towards building a multimodal computer system capable of sensing the affective state of a user. Two major problem areas exist in the affective communication research. Firstly, affective states are defined and described in an inconsistent way. Secondly, the type of training data commonly used gives an oversimplified picture of affective expression. Most studies ignore the dynamic, versatile and personalised nature of affective expression and the influence that social setting, context and culture have on its rules of display. We present a novel approach to affective sensing, using a generic model of affective communication and a set of ontologies to assist in the analysis of concepts and to enhance the recognition process. Whilst the scope of the ontology provides for a full range of multimodal sensing, this paper focuses on spoken language and facial expressions as examples.
dc.publisherSpringer
dc.relation.ispartofseriesInternational Conference on Human-Computer Interaction 2007
dc.sourceProceedings of Human-Computer Interaction International 2007
dc.subjectKeywords: Computer architecture; Modal analysis; Natural language processing systems; Ontology; Sensor networks; Multimodal computer systems; Multimodal sensing; Intelligent systems
dc.titleTowards Affective Sensing
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2007
local.identifier.absfor080602 - Computer-Human Interaction
local.identifier.absfor080107 - Natural Language Processing
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu3357961xPUB185
local.type.statusPublished Version
local.contributor.affiliationMcIntyre, Gordon, College of Engineering and Computer Science, ANU
local.contributor.affiliationGoecke, Roland, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage411
local.bibliographicCitation.lastpage420
dc.date.updated2015-12-09T07:47:34Z
local.identifier.scopusID2-s2.0-38149086897
CollectionsANU Research Publications

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