Locomotion@Location: When the Rubber hits the Road

Gerold Hölzl, Marc Kurz, Peter Halbmayer, Jürgen Erhart, Michael Matscheko, Alois Ferscha, Susanne Eisl, Johann Kaltenleithner

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Contextual information of persons can be comprised of a variety of different fragments. The sensor-based recognition of activities, which is one very important part of contextual information, is very well evaluated in laboratory surroundings with different sensor configurations. This paper presents the utilization of locomotion and location information inferred from sensor-readings in a real-world setting by applying a system that operates in an opportunistic and unobtrusive way. We let the rubber hit the road by exploiting locomotion and (in-door) location information in private households to optimize the energy consumption in terms of autonomous and implicit control of electronic appliances. By using on-body and environmental sensor devices, that are not presumably fixed, thus are accessed in an opportunistic manner, our system is able to safely control devices in terms of implicitly optimizing the energy consumption. We have conducted a field study in 15 households, where we have used the location and locomotion information of the residents to decide with a rule-based background intelligence, which electronic appliances can be safely turned off.
Original languageEnglish
Title of host publicationThe 9th International Conference on Autonomic Computing, San Jose, California, USA September 17-21, 2012
Number of pages5
Publication statusPublished - Sept 2012

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

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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