Bipart: Learning Block Structure for Activity Detection

@article{Mu2014BipartLB,
  title={Bipart: Learning Block Structure for Activity Detection},
  author={Yang Mu and Henry Z. Lo and Wei Ding and Kevin Michael Amaral and Scott E. Crouter},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2014},
  volume={26},
  pages={2397-2409}
}
Physical activity consists of complex behavior, typically structured in bouts which can consist of one continuous movement (e.g., exercise) or many sporadic movements (e.g., household chores). Each bout can be represented as a block of feature vectors corresponding to the same activity type. This paper introduces a general distance metric technique to use this block representation to first predict activity type, and then uses the predicted activity to estimate energy expenditure within a novel… 
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10 Citations

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