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A System Identification Approach to Determining Listening Attention from EEG Signals
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, The Swedish Institute for Disability Research. Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Eriksholm Research Centre, Oticon A/S, 20 Rortangvej, Snekkersten, Denmark.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
2016 (English)In: 2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), IEEE , 2016, 31-35 p.Conference paper, Published paper (Refereed)
Abstract [en]

We still have very little knowledge about how ourbrains decouple different sound sources, which is known assolving the cocktail party problem. Several approaches; includingERP, time-frequency analysis and, more recently, regression andstimulus reconstruction approaches; have been suggested forsolving this problem. In this work, we study the problem ofcorrelating of EEG signals to different sets of sound sources withthe goal of identifying the single source to which the listener isattending. Here, we propose a method for finding the number ofparameters needed in a regression model to avoid overlearning,which is necessary for determining the attended sound sourcewith high confidence in order to solve the cocktail party problem.

Place, publisher, year, edition, pages
IEEE , 2016. 31-35 p.
Series
European Signal Processing Conference, ISSN 2076-1465
Keyword [en]
attention, cocktail party, linear regression (LR), finite impulse response (FIR), multivariable model, sound, EEG
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-130732DOI: 10.1109/EUSIPCO.2016.7760204ISI: 000391891900007ISBN: 978-0-9928-6265-7 (electronic)ISBN: 978-1-5090-1891-8 (print)OAI: oai:DiVA.org:liu-130732DiVA: diva2:954379
Conference
24th European Signal Processing Conference (EUSIPCO), Aug 28-Sep 2, 2016. Budapest, Hungary
Available from: 2016-08-22 Created: 2016-08-22 Last updated: 2017-02-15

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Alickovic, EminaLunner, ThomasGustafsson, Fredrik
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Automatic ControlFaculty of Science & EngineeringThe Swedish Institute for Disability ResearchDivision of Neuro and Inflammation ScienceFaculty of Medicine and Health Sciences
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf