Towards a Framework for opportunistic Activity and Context Recognition

Marc Kurz, Alois Ferscha, Alberto Calatroni, Daniel Roggen, Gerhard Tröster

Research output: Chapter in Book/Report/Conference proceedingConference proceedings

Abstract

Due to recent advancements in the development of sensor devices which results in increasing mobility and computing power and decreasing size and costs, this paper presents two features for a sensor-based opportunistic activity and context recognition enabling framework. Opportunistic in this context means that no sensor infrastructure has to be predefined at the design time of the system, it rather makes best use of the available sensor devices. Therefore, a framework must be capable of (i) dynamically routing the information and data between sensing and data processing entities and (ii) the dynamic incorporation of training sources for sensor devices. Besides the discussion of these two features, the paper introduces the OPPORTUNITY framework, which is a prototypical implementation of an opportunistic activity and context recognition system.
Original languageEnglish
Title of host publicationorkshop "Context awareness and information processing in opportunistic ubiquitous systems", associated with 12th ACM International Conference on Ubiquitous Computing (UbiComp2010))
Number of pages4
Publication statusPublished - Sept 2010

Fields of science

  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102013 Human-computer interaction
  • 102019 Machine learning
  • 102020 Medical informatics
  • 102021 Pervasive computing
  • 102022 Software development
  • 102025 Distributed systems
  • 202017 Embedded systems
  • 211902 Assistive technologies
  • 211912 Product design

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