Recognizing multi-modal sensor signals using evolutionary learning of dynamic Bayesian networks

@article{Lee2012RecognizingMS,
  title={Recognizing multi-modal sensor signals using evolutionary learning of dynamic Bayesian networks},
  author={Youngseol Lee and Sung-Bae Cho},
  journal={Pattern Analysis and Applications},
  year={2012},
  volume={17},
  pages={695-707}
}
Multi-modal context-aware systems can provide user-adaptive services, but it requires complicated recognition models with larger resources. The limitations to build optimal models and infer the context efficiently make it difficult to develop practical context-aware systems. We developed a multi-modal context-aware system with various wearable sensors including accelerometers, gyroscopes, physiological sensors, and data gloves. The system used probabilistic models to handle the uncertain and… CONTINUE READING

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