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Distributed Vision-Based Accident Management for Assisted Living

  • Hamid Aghajan
  • Juan Carlos Augusto
  • Chen Wu
  • Paul McCullagh
  • Julie-Ann Walkden
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4541)

Abstract

We consider the problem of assisting vulnerable people and their carers to reduce the occurrence, and concomitant consequences, of accidents in the home. A wireless sensor network employing multiple sensing and event detection modalities and distributed processing is proposed for smart home monitoring applications. Distributed vision-based analysis is used to detect occupant’s posture, and features from multiple cameras are merged through a collaborative reasoning function to determine significant events. The ambient assistance provided will assume minimal expectations on the technology people have to directly interact with. Vision-based technology is coupled with AI-based algorithms in such a way that occupants do not have to wear sensors, other than an unobtrusive identification badge, or learn and remember to use a specific device. In addition the system can assess situations, anticipate problems, produce alerts, advise carers and provide explanations.

Keywords

Wireless Sensor Network Smart Home Posture Element Camera Node Decision Layer 
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 Berlin Heidelberg 2007

Authors and Affiliations

  • Hamid Aghajan
    • 1
  • Juan Carlos Augusto
    • 2
  • Chen Wu
    • 1
  • Paul McCullagh
    • 2
  • Julie-Ann Walkden
    • 3
  1. 1.Wireless Sensor Networks Lab, Stanford UniversityUSA
  2. 2.School of Computing and Mathematics, University of UlsterUK
  3. 3.Ulster Community Hospitals TrustUK

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