Structural Learning of Activities from Sparse Datasets

  title={Structural Learning of Activities from Sparse Datasets},
  author={Fahd Albinali and Nigel Davies and Adrian Friday},
  journal={Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom'07)},
A major challenge in pervasive computing is to develop systems that can reliably recognize human activity patterns, such as bathing from sensor data. Typical sensor deployments generate sparse datasets with thousands of sensor readings and few instances of activities. The imbalance between the number of features (i.e. sensors firing) and the classification targets (i.e. activities) complicates the learning process. In this paper, we propose a novel framework for discovering relationships… CONTINUE READING

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