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BaseHiddenMarkovClassifierTModel, TDistribution, TObservationThreshold Property

Gets or sets the threshold model.

Namespace:  Accord.Statistics.Models.Markov
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.5.0
public TModel Threshold { get; set; }
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Property Value

Type: TModel

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.


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

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