TR2004-135

Activity Mining in Sensor Networks


    •  Wren, C.R., Minnen, D.C., "Activity Mining in Sensor Networks", NIPS Workshop on Activity Recognition and Discovery, December 2004.
      BibTeX TR2004-135 PDF
      • @inproceedings{Wren2004dec,
      • author = {Wren, C.R. and Minnen, D.C.},
      • title = {Activity Mining in Sensor Networks},
      • booktitle = {NIPS Workshop on Activity Recognition and Discovery},
      • year = 2004,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2004-135}
      • }
  • Research Areas:

    Artificial Intelligence, Data Analytics

We present results from the exploration of activity discovery based on impoverished sensors. Networks of low-cost, low-power, low-bandwidth sensors are a practical way of gathering context awareness in buildings. they are more widely applicable than dense networks of cameras because of their low component cost, low installation cost, and low privacy cost. However impoverished sensors pose a significant challenge for activity monitoring due their low capability. We build on our behavior understand work with impoverished sensors to show results relating to behavior discovery and novel event detection.

 

  • Related News & Events

    •  NEWS   NIPS 2004: publication by Christopher R. Wren and others
      Date: December 6, 2004
      Where: Advances in Neural Information Processing Systems (NIPS) Workshop on Activity Recognition and Discovery
      Research Area: Data Analytics
      Brief
      • The paper "Activity Mining in Sensor Networks" by Wren, C.R. and Minnen, D.C. was presented at the Advances in Neural Information Processing Systems (NIPS) Workshop on Activity Recognition and Discovery.
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