Two-class gesture classification toy problem was solved using HMM classifier. Parameter decision was made in MATLAB by applying various tests to the data. Final model was then implemented in C# and applied to the user interface. Misclassification rate of the overall model was 3%.
HilalNazli/InterfaceForHearingImpaired_GestureRecognitionToyProblem
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