Tagging the World: Broad-Band noise tagging as an alternative to steady-state frequency tagging

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dc.contributor.advisorDesain, P.W.M.
dc.contributor.advisorFarquhar, J.D.R.
dc.contributor.authorThielen, J.
dc.date.issued2013-07-31
dc.description.abstractIn the field of EEG-based Brain Computer Interfaces the Evoked Potential is a well-studied response. To elicit this response, frequency tagging is a common paradigm to use. In this paradigm a periodic stimulus signal elicits Steady-State Evoked Potentials. Recently, an alternative has been proposed called noise tagging. In this method Pseudo-Random Noise sequences are used to watermark stimuli. These Broad-Band stimuli also elicit Evoked Potentials in EEG. Like Steady-State Evoked Potentials they can be used in different sensory modalities, in this paper visual stimulation with LEDs was used. Using noise tagging it is possible to model and predict the response based on the specific stimulus bit-sequence. The paradigm that was developed allows for short train sessions, a high number of classes that require no extra classifier training, a prior selection of a set of optimal code sequences and high information transfer rates.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/135
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleTagging the World: Broad-Band noise tagging as an alternative to steady-state frequency taggingen_US

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