I am completing a final year project for hand gesture recognition using Hidden Markov Models
I have a fair understanding of Hidden Markov Models and how they work using simple examples such as the Unfair Casino and some Weather examples.
I am looking to implement multiple Hidden markov models where each model corresponds to a single gesture, similarly to this paper where the observed states are the angles between the coordinates of different points. This would create a sequence of numbers from 0 to 18 as seen in Figure 3 and Figure 4. .
What would the hidden states be in terms of this scenario?
The weather example has the observations ‘Walk’, ‘Shop’ and ‘Clean’ which would be the numbers 0-18 in the hand gesture case, however I do not know what the states ‘Rainy’ and ‘Sunny’ would correspond to in the hand gesture scenario.
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