Hidden Markov Models (HMMs) have been around for quite some time as a tool to classify data and study the mechanisms that produce those data. Traditionally HMMs have been used in speech recogni-tion, but plenty of other application examples are available. Nowadays their application in BioIT is per-haps the most important field. This document aims to provide an introduction to the HMM concept and give an idea of their potential applicability in BSI (Biosignal Interpretation) research. A short introduc-tion to HMMs is provided with the emphasis on practical use. An overview of available software and potential application areas completes this document.
|Place of Publication||Tampere|
|Publisher||VTT Technical Research Centre of Finland|
|Number of pages||22|
|Publication status||Published - 2002|
|MoE publication type||D4 Published development or research report or study|
|Series||VTT Information Technology. Research Report|
van Gils, M. (2002). Hidden Markov Models - An Introduction in the context of biomedical signal interpretation research. VTT Technical Research Centre of Finland. VTT Information Technology. Research Report, No. TTE5-2001-34