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. 2013 Mar 21;9(3):e1002961. doi: 10.1371/journal.pcbi.1002961

Figure 7. Graphical description of a two-state Hidden Markov Model.

Figure 7

At any point in time the prawn is in a state of either CW or anti-CW orientation. The precise state is hidden but we make observations Inline graphic, the actual frame-by-frame movements of the prawn, which give information about the relative probabilities of the two states. We assume a fixed probability of transition between the states which is inferred from the data and allows for the persistence of orientation over time.