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Portable Wireless Sensors for Object Usage Sensing in the Home: Challenges and Practicalities

  • Emmanuel Munguia Tapia
  • Stephen S. Intille
  • Kent Larson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4794)

Abstract

A low-cost kit of stick-on wireless sensors that transmit data indicating whenever various objects are being touched or used might aid ubiquitous computing research efforts on rapid prototyping, context-aware computing,and ultra-dense object sensing, among others. Ideally, the sensors would besmall, easy-to-install, and affordable. The sensors would reliably recognize when specific objects are manipulated, despite vibrations produced by the usage of nearby objects and environmental noise. Finally, the sensors would operate continuously for several months, or longer. In this paper, we discuss the challenges and practical aspects associated with creating such "object usage" sensors. We describe the existing technologies used to recognize object usage and then present the design and evaluation of a new stick-on, wireless object usage sensor. The device uses (1) a simple classification rule tuned to differentiate real object usage from adjacent vibrations and noise in real-time based on data collected from a real home, and (2) two complimentary sensors to obtain good battery performance. Results of testing 168 of the sensors in an instrumented home for one month of normal usage are reported as well as results from a 4-hour session of a person busily cooking and cleaning in the home, where every object usage interaction was annotated and analyzed.

Keywords

Sensor Node Ubiquitous Computing Battery Life Object Usage Piezoelectric Film 
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-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Emmanuel Munguia Tapia
    • 1
  • Stephen S. Intille
    • 1
  • Kent Larson
    • 1
  1. 1.House_n, Massachusetts Institute of Technology, 1 Cambridge Center, 4FL, Cambridge, MA, 02142USA

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