Event Detection for Indoor LBS

  • Martin Werner


While outdoors the position as well as a trajectory is often enough to determine most location events (corners, turns, arrivals at points-of-interest, etc.), inside buildings much more events can become relevant and many applications have to rely on a different technology to find these events. The most prevalent example is that the performance of Wi-Fi localization is pretty good in two-dimensional space, but can have difficulties to determine the right floor. These systems can be supported for example by using a barometer indicating reliably floor changes. This chapter first explains how indoor routes can be explained to a user and which events can be relevant for this explanation. Then, this chapter collects events that have been shown useful for indoor location-based services.


Primary Event Navigation System Activity Recognition Environmental Knowledge Event Handler 
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.


  1. 1.
    Downs, R.M., Stea, D.: Kognitive Karten. Harper & Row (1982)Google Scholar
  2. 2.
    Michelson, B.M.: Event-Driven Architecture Overview, vol. 2. Patricia Seybold Group (2006)Google Scholar
  3. 3.
    Naguib, H., Coulouris, G.: Location information management. In: Ubicomp 2001: Ubiquitous Computing, pp. 35–41. Springer, Berlin (2001)Google Scholar
  4. 4.
    Turaga, P., Chellappa, R., Subrahmanian, V.S., Udrea, O.: Machine recognition of human activities: a survey. IEEE Trans. Circuits Syst. Video Technol. 18(11), 1473–1488 (2008)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Martin Werner
    • 1
  1. 1.Ludwig-Maximilians-Universität MünchenMunichGermany

Personalised recommendations