hidden markov model tutorial? I have looked at the wikipedia page on this but I need a more step by step tutorial with real numbers or c code.
This article is what made me interested, "Continuous Myoelectric Control for Powered Prostheses Using Hidden Markov Models"
The best resources for hidden Markov models can be found in papers and AI textbooks, I think. If you search using Google Scholar, you'll get some useful hits, among which this: http://dip.sun.ac.za/courses/patrec/ExtraNotes/rabiner.pdf
Textbooks which cover HMM's are for example Russel & Norvig's "AI: A Modern Approach" and Alpaydin's "Introduction to Machine Learning". If you PM me, I might be able to point you towards a digital version of these.
Of course you do need some background in basic (Bayesian) statistics for it to make a little sense, which is where you should start if this is all new to you.