continuous hidden Markov model
I am considering writing a HMM toolbox for Max that would support continuous observations and include a modified Viterbi algorithm that can work in real time.
I’ve looked thoroughly, but can’t find any continuous observation HMMs for Max. Paul Kolesnik and Marcelo Wanderley put out a discrete HMM several years ago (although never in universal binary, I believe); and I know there’s a discrete HMM for FTM — but has anyone seen anything else?
Thanks for your help!
I’m trying to understand that in order to do gestures recognition in Max. There is a few things in maxobjects.com about hmm.
I’m working with a wii, and I’m treating right now the raw data.
I’ve developed a set of Max patchers interfacing with a Java library to train and use a semi-continuous HMM that I’m about to finish this week.
Well, that’s just teasing, isn’t it?
I would be most interested in seeing your results – please share.
discrete time models will be just fine with me, and in best
case as abstraction.
is there a deadline already or should we set you one?
I think I set the deadline for myself (this week)
Anybody interested can send me an e-mail and I can return the patchers, Java libraries and usage instructions zipped. It would be way to soon to put it somewhere for anyone to download. That way I can keep track of who uses it and we can discuss improvements (like beta testing).
Hello, I am interested in beta testing and checking out your HMM package. I am working on a project using HMM and I have been using MatLab, but I would be very interested in trying it out in Max/MSP. Marc, I could not find your email to contact you. You can email me at Creatryx@me.com. If you have time to send a zip I would be most greatful!