Sign language recognition based on adaptive HMMS with data augmentation

ICIP, pp. 2876-2880, 2016.

Cited by: 18|Views39
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Abstract:

Vision based sign language recognition (SLR) is a challenging task due to the complexity of signs and limited data collection. To improve the recognition precision, this paper proposes an adaptive GMM-based (Gaussian mixture model) HMMs (Hidden Markov Models) framework. We discover that inherent latent states in HMMs are not only related ...More

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