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 [BibTeX] [Marc21]
HMM and IOHMM Modeling of EEG Rhythms for Asynchronous BCI Systems
Type of publication: Conference paper
Citation: silviac03hmm
Booktitle: European Symposium on Artificial Neural Networks ESANN
Year: 2004
Note: IDIAP-RR 03-49
Crossref: silviac03hmm:rr-03-49:
Abstract: We compare the use of two Markovian models, HMMs and IOHMMs, to discriminate between three mental tasks for brain computer interface systems using an asynchronous protocol. We show that IOHMMs outperform HMMs but that, probably due to the lack of any prior information on the state dynamics, no practical advantage in the use of these models over their static counterparts is obtained.
Userfields: ipdmembership={learning},
Projects Idiap
Authors Chiappa, Silvia
Bengio, Samy
Added by: [UNK]
Total mark: 0
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