Vector quantization in HMM

hello, I work with Hidden Markov models for gesture recognition, i had a problem in the data quantization step of each feature vector . I had the data training = (f1, f2, f3; .....) fi correponds to the feature vector at time i. we suppose that the feature vector is the center of the hand (x, y, z) and the speed of the hand movement (vx, vy, vz) so the feature vector is (x, y, z, vx, vy, vz) I would like to quantify this vector into a symbol o0, I found in the net that i should use the kmeans algorithm, if it's true, the kmeans function has as inputs ( k the number of cluster and obs a set of observations vectors to cluster ) so in this case obs decomes the following matrix: obs = [x, y, z, vx, vy, vz; x1, y1, z1, VX1, VY1, VZ1; x2, y2, z2, vx2, vy2, VZ2; ...]? with [x, y, z, vx, vy, vz] the feature vector at time t1 (frame1) [x1, y1, z1, VX1, VY1, VZ1] the feature vector at time t2 (frame2)... the output will be the vector K[K1,K2,K3...] k1 corresponds to symbol o0, k1 to symbol o1... please I would know if what I said just now is correct or not.

Thanks in advance