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. 2012 Jan 5;8(1):e1002308. doi: 10.1371/journal.pcbi.1002308

Figure 9. Graphical description of a two-state Hidden Markov Model.

Figure 9

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.