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conference paper
HMM and IOHMM Modeling of EEG Rhythms for Asynchronous BCI Systems
2004
European Symposium on Artificial Neural Networks ESANN
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.
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silviac_esann04.pdf
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