Incremental on-line learning of human motion using Gaussian adaptive resonance hidden Markov model

@article{Dawood2013IncrementalOL,
  title={Incremental on-line learning of human motion using Gaussian adaptive resonance hidden Markov model},
  author={Farhan Dawood and Chu Kiong Loo and Wei Hong Chin},
  journal={The 2013 International Joint Conference on Neural Networks (IJCNN)},
  year={2013},
  pages={1-7}
}
In this paper we present an approach for on-line and incremental learning of human motion patterns through continuous observation of motion using novel Topological Gaussian Adaptive Resonance Hidden Markov Model (TGART-HMM). The observed human motion patterns are encoded in a novel modified version of Hidden Markov Model (HMM) called TGART-HMM. The on-line learning process consists of updating the structure of Hidden Markov Model using a topology-learning mechanism based on Gaussian Adaptive… CONTINUE READING

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