BaseHiddenMarkovClassifierTModel, TDistribution, TObservationThreshold Property

public TModel Threshold { get; set; }

Public Property Threshold As TModel
	Get
	Set

Property Value

For gesture spotting, Lee and Kim introduced a threshold model which is composed of parts of the models in a hidden Markov sequence classifier.

The threshold model acts as a baseline for decision rejection. If none of the classifiers is able to produce a higher likelihood than the threshold model, the decision is rejected.

In the original Lee and Kim publication, the threshold model is constructed by creating a fully connected ergodic model by removing all outgoing transitions of states in all gesture models and fully connecting those states.

References:

• H. Lee, J. Kim, An HMM-based threshold model approach for gesture recognition, IEEE Trans. Pattern Anal. Mach. Intell. 21 (10) (1999) 961–973.

Reference