HMM parameter reduction for practical gesture recognition

We examine in detail some properties of gesture recognition models which utilize a reduced number of parameters and lower algorithmic complexity compared to traditional hidden Markov models. We show that the reduced parameter models are comparable to standard HMM-based gesture recognition models in...

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Bibliographische Detailangaben

Hauptverfasser:	Rajko, S., Gang Qian
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational complexity Hidden Markov models Inference algorithms Libraries Pattern recognition Probability Testing Training data Usability
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