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Multi-sensor Activity Context Detection for Wearable Computing

  • Nicky Kern
  • Bernt Schiele
  • Albrecht Schmidt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2875)

Abstract

For wearable computing applications, human activity is a central part of the user’s context. In order to avoid user annoyance it should be acquired automatically using body-worn sensors. We propose to use multiple acceleration sensors that are distributed over the body, because they are lightweight, small and cheap. Furthermore activity can best be measured where it occurs. We present a hardware platform that we developed for the investigation of this issue and results as to where to place the sensors and how to extract the context information.

Keywords

Recognition Rate Analog Digital Converter Acceleration Sensor Wearable Computing Good Recognition Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Nicky Kern
    • 1
  • Bernt Schiele
    • 1
  • Albrecht Schmidt
    • 2
  1. 1.Perceptual Computing and Computer VisionETH ZurichSwitzerland
  2. 2.Media Informatics GroupUniversity of MunichGermany

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