A Frequent Pattern Mining Approach for ADLs Recognition in Smart Environments

@article{Chikhaoui2011AFP,
  title={A Frequent Pattern Mining Approach for ADLs Recognition in Smart Environments},
  author={Belkacem Chikhaoui and Shengrui Wang and H{\'e}l{\`e}ne Pigot},
  journal={2011 IEEE International Conference on Advanced Information Networking and Applications},
  year={2011},
  pages={248-255}
}
This paper presents an approach for recognition of Activities of Daily Living (ADLs) in smart environments. Our approach is based on the frequent pattern mining principle to extract frequent patterns in the datasets collected from different sensors disseminated in a smart environment. In contrast with existing intrusive activity recognition approaches that have been proposed in the literature, where the datasets are basically composed of audio-visual or images files recorded during experiments… CONTINUE READING
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