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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| creator | Rajko, S. Gang Qian |
| description | 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 their ability to effectively model gestures, and in some cases superior when training data is limited. We also show that in order to effectively differentiate similar gestures, a gesture recognition model must utilize a large number of states, a scenario which can only be adequately handled by reducer parameter methods to maintain real-time speeds. |
| doi_str_mv | 10.1109/AFGR.2008.4813425 |
| format | Conference Proceeding |
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We show that the reduced parameter models are comparable to standard HMM-based gesture recognition models in their ability to effectively model gestures, and in some cases superior when training data is limited. We also show that in order to effectively differentiate similar gestures, a gesture recognition model must utilize a large number of states, a scenario which can only be adequately handled by reducer parameter methods to maintain real-time speeds.</abstract><pub>IEEE</pub><doi>10.1109/AFGR.2008.4813425</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008, p.1-6 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computational complexity Hidden Markov models Inference algorithms Libraries Pattern recognition Probability Testing Training data Usability |
| title | HMM parameter reduction for practical gesture recognition |
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