How to obtain observation symbols for Gesture recognition using Hidden Markov Model??

2 views (last 30 days)
I am currently working on a Gesture Recognition application, using a Hidden Markov Model as the classification stage on matlab. I've completed the pre-processing part which includes extraction of feature vector. I've applied Principal Component Analysis(PCA) to these vectors.
Now for me to use Kevin Murphy's HMM toolbox, i need my observation sequence to be in the form of numbers(integers) ranging from 1 to M (M = number of observation symbols). If i'm correct, then i have to use the concept of a codebook and use vector quantization to get my observation sequence.
My questions: 1) How do i build a codebook 2) and How do i use vector quantization to obtain observation symbols.
Note: For each gesture the PCA values are stored in a matrix of dimension [11x220] . (Number of frames in each video = 11)
What do i do next?? Can someone please provide me with a sample code to work with. Thanks :)

Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!