Title:
A DATA SONIFICATION APPROACH TO COGNITIVE STATE IDENTIFICATION
A DATA SONIFICATION APPROACH TO COGNITIVE STATE IDENTIFICATION
dc.contributor.author | Gomez, Imanol | |
dc.contributor.author | Ramirez, Rafael | |
dc.contributor.corporatename | International Community for Auditory Display | |
dc.contributor.corporatename | Universitat Pompeu Fabra. Music Technology Group | |
dc.date.accessioned | 2014-04-08T22:33:54Z | |
dc.date.available | 2014-04-08T22:33:54Z | |
dc.date.issued | 2011-06 | |
dc.description | Presented at the 17th International Conference on Auditory Display (ICAD2011), 20-23 June, 2011 in Budapest, Hungary. | en_US |
dc.description | Presented at the 17th International Conference on Auditory Display (ICAD2011), 20-23 June, 2011 in Budapest, Hungary. | |
dc.description.abstract | The study of human brain functions has dramatically increased greatly due to the advent of Functional Magnetic Resonance Imaging (fMRI), arguably the best technique for observing human brain activity that is currently available. However, fMRI techniques produce extremely high dimensional, sparse and noisy data which is difficult to visualize, monitor and analyze. In this paper, we propose two different sonification approaches to monitor fMRI data. The goal of the resulting fMRI data sonification system is to allow the auditory identification of cognitive states produced by different stimuli. The system consists of a feature selection component and a sonification engine. We explore different feature selection methods and sonification strategies. As a case study, we apply our system to the identification of cognitive states produced by volume accented and duration accented rhythmic stimuli. | en_US |
dc.embargo.terms | null | en_US |
dc.identifier.citation | Proceedings of the 17th International Conference on Auditory Display (ICAD2011), Budapest, Hungary. 20-23 June, 2011. International Community for Auditory Display, 2011. | en_US |
dc.identifier.uri | http://hdl.handle.net/1853/51569 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | |
dc.publisher.original | International Community for Auditory Display | en_US |
dc.publisher.original | International Community for Auditory Display (ICAD) | |
dc.relation.ispartofseries | International Conference on Auditory Display (ICAD) | |
dc.subject | Auditory display | en_US |
dc.subject | Sonification | en_US |
dc.subject | fMRI | en_US |
dc.title | A DATA SONIFICATION APPROACH TO COGNITIVE STATE IDENTIFICATION | en_US |
dc.type | Text | |
dc.type.genre | Proceedings | |
dspace.entity.type | Publication | |
local.contributor.corporatename | Sonification Lab | |
local.relation.ispartofseries | International Conference on Auditory Display (ICAD) | |
relation.isOrgUnitOfPublication | 2727c3e6-abb7-4df0-877f-9f218987b22a | |
relation.isSeriesOfPublication | 6cb90d00-3311-4767-954d-415c9341a358 |
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