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

Abstract

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… (More)
DOI: 10.1007/s10044-012-0300-z

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