Regarding building HMM model

Hi,

I am trying to apply Hidden Markov Model to improve my detection accuracy.

In my program, there are two states, 1 and 0. I used Bayes detector to generate the probability for each instance to be in class 1 and 0. For example, I have a sequence Actual states: 1 1 1 1 0 0 0 0

probability in class 1: 0.5 0.6 0.7 0.8 0.9 0.2 0.3 0.4 0.5 0.5

probability in class 0: 0.2 0.3 0.4 0.5 0.5 0.5 0.6 0.7 0.8 0.9

I tried to "use probability in class 1" as the "seq" and "Actual states" as "states" in function hmmestimate ([estimateTR, estimateE] = hmmestimate(seq,states)

But it seems that "seq" must be integers, and I do not understand what is the requirement for the input arguments.

Also in my case, how should I construct the Emission matrix.

Thanks in advance!