Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors

@article{Stikic2011WeaklySR,
  title={Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors},
  author={Maja Stikic and Diane Larlus and Sandra Ebert and Bernt Schiele},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2011},
  volume={33},
  pages={2521-2537}
}
This paper considers scalable and unobtrusive activity recognition using on-body sensing for context awareness in wearable computing. Common methods for activity recognition rely on supervised learning requiring substantial amounts of labeled training data. Obtaining accurate and detailed annotations of activities is challenging, preventing the applicability of these approaches in real-world settings. This paper proposes new annotation strategies that substantially reduce the required amount of… CONTINUE READING
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