HMM and IOHMM Modeling of EEG Rhythms for Asynchronous BCI Systems
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.
Accepted for publication in ESANN 2004
Record created on 2006-03-10, modified on 2016-08-08