Enhancing Accelerometer-Based Activity Recognition with Capacitive Proximity Sensing

  • Tobias Grosse-Puppendahl
  • Eugen Berlin
  • Marko Borazio
Conference paper

DOI: 10.1007/978-3-642-34898-3_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7683)
Cite this paper as:
Grosse-Puppendahl T., Berlin E., Borazio M. (2012) Enhancing Accelerometer-Based Activity Recognition with Capacitive Proximity Sensing. In: Paternò F., de Ruyter B., Markopoulos P., Santoro C., van Loenen E., Luyten K. (eds) Ambient Intelligence. AmI 2012. Lecture Notes in Computer Science, vol 7683. Springer, Berlin, Heidelberg

Abstract

Activity recognition with a wearable accelerometer is a common investigated research topic and enables the detection of basic activities like sitting, walking or standing. Recent work in this area adds different sensing modalities to the inertial data to collect more information of the user’s environment to boost activity recognition for more challenging activities. This work presents a sensor prototype consisting of an accelerometer and a capacitive proximity sensor that senses the user’s activities based on the combined sensor values. We show that our proposed approach of combining both modalities significantly improves the recognition rate for detecting activities of daily living.

Keywords

activity recognition capacitive proximity sensors ambient assisted living user context 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tobias Grosse-Puppendahl
    • 1
  • Eugen Berlin
    • 2
  • Marko Borazio
    • 2
  1. 1.Fraunhofer IGDDarmstadtGermany
  2. 2.Embedded Sensing SystemsTechnische Universität DarmstadtGermany

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