Wireless Gesture Controllers to Affect Information Sonification

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dc.contributor.author Beilharz, KA
dc.contributor.editor Thomas Hermann
dc.date.accessioned 2010-06-16T05:01:53Z
dc.date.issued 2005-01
dc.identifier.citation Website Proceedings of International Conference of Auditory Display, 2005, 2005 pp. 105 - 112
dc.identifier.isbn 0-902-23820-5
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/12082
dc.description.abstract This paper proposes a framework for gestural interaction with information sanification in order to both monitor data aurally and, in addition, to interact with it, transform and even modify the source data in a two-way communication model (Figure I). Typical data sonification uses automatically generated computational modelling of information, represented in parameters of auditory display, to convey data in an informative representation. It is essentially a one-way data to display process and interpretation by users is usually a passive experience. In contrast, gesture controllers, spatial interaction, gesture recognition hardware and software, are used by musicians and in augmented reality systems to affect, manipulate and perform with sounds. Numerous installation and artistic works arise from motion-generated audio.
dc.publisher ICAD
dc.title Wireless Gesture Controllers to Affect Information Sonification
dc.type Conference Proceeding
dc.description.version Published
dc.parent Website Proceedings of International Conference of Auditory Display
dc.journal.volume 2005
dc.journal.number en_US
dc.publocation Ireland en_US
dc.identifier.startpage 105 en_US
dc.identifier.endpage 112 en_US
dc.cauo.name FASS.Faculty of Arts and Social Sciences en_US
dc.conference Verified OK en_US
dc.conference International Conference of Auditory Display
dc.for 120302 Design Innovation
dc.personcode 998722
dc.percentage 100 en_US
dc.classification.name Design Innovation en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference of Auditory Display en_US
dc.date.activity 20050706 en_US
dc.date.activity 2005-07-06
dc.location.activity Limerick, Ireland en_US
dc.description.keywords NA en_US
dc.description.keywords Science & Technology
dc.description.keywords Physical Sciences
dc.description.keywords Statistics & Probability
dc.description.keywords Mathematics
dc.description.keywords STATISTICS & PROBABILITY
dc.description.keywords bioinformatics
dc.description.keywords classification
dc.description.keywords data mining
dc.description.keywords generalized additive models
dc.description.keywords kernel machines
dc.description.keywords machine learning
dc.description.keywords mixed models
dc.description.keywords reproducing kernel Hilbert spaces
dc.description.keywords semi-parametric regression
dc.description.keywords statistical learning
dc.description.keywords supervised learning
dc.description.keywords support vector machines
dc.description.keywords SUPPORT VECTOR MACHINES
dc.description.keywords CLASSIFICATION
dc.description.keywords NETWORKS
dc.description.keywords MODELS
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Design, Architecture and Building
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)
utslib.collection.history Uncategorised (ID: 363)

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