Unobtrusive Recognition of Working Situations

  • Tobias Grosse-Puppendahl
  • Sebastian Benchea
  • Felix Kamieth
  • Andreas Braun
  • Christian Schuster
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8028)

Abstract

In many countries, people are obliged to remain in their jobs for a long time. This results in an increased number of elderly people with certain disabilities in working life. Therefore, a support with technical assistance systems can avoid further health risks and help employees in their everyday life. An important step for offering a suitable assistance is the automatic recognition of working situations. In this paper we explore the unobtrusive data acquisition and classification of working situations above a tabletop surface. Therefore, a grid of capacitive sensors is deployed directly underneath the tabletop.

Keywords

activity recognition capacitive sensing working situations 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Tobias Grosse-Puppendahl
    • 1
  • Sebastian Benchea
    • 1
  • Felix Kamieth
    • 1
  • Andreas Braun
    • 1
  • Christian Schuster
    • 2
  1. 1.Fraunhofer IGDDarmstadtGermany
  2. 2.Technische Universität DarmstadtDarmstadtGermany

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