Is there any way to combine multiple Hidden Markov Models trained from different sets of data? For example, I want to detect the phases of a sequential activity. I collect two sets of data by using two types of sensors: accelerometer, and video stream. I create two HMM models from the accelerometer and video stream, respectively. To increate accuracy, can I combine the two models?