Context awareness via a single device-attached accelerometer during mobile computing

Ji Soo Yi, Young Sang Choi, Julie A. Jacko, Andrew Sears

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

20 Scopus citations

Abstract

Interest in context-aware computing has expanded the use of sensing technologies. The accelerometer is one of the most widely used sensors for capturing context because it is small, inexpensive, lightweight, and self-operable. In efforts to obtain behavioral patterns, many studies have reported the use of multiple accelerometers attached to the human body. However, this is difficult to implement in real-life situations and may not fully address the context of user interaction. In contrast, the present study employed a single tri-axial accelerometer attached to a handheld computing device instead of to a user. The objective was to determine what contextual information could be obtained from this more feasible, albeit limited, source of acceleration data. Data analyses confirmed that changes in both mobility and lighting conditions induced statistically significant differences in the output of the accelerometer.

Original languageEnglish (US)
Title of host publicationMobileHCI 05 - Proceedings of the 7th International Conference on Human Computer Interaction with Mobile Devices and Services
PublisherAssociation for Computing Machinery (ACM)
Pages303-306
Number of pages4
ISBN (Print)1595930892, 9781595930897
DOIs
StatePublished - 2005
Event7th International Conference on Human Computer Interaction with Mobile Devices and Services, MobileHCI 05 - Salzburg, Austria
Duration: Sep 19 2005Sep 22 2005

Publication series

NameACM International Conference Proceeding Series
Volume111

Other

Other7th International Conference on Human Computer Interaction with Mobile Devices and Services, MobileHCI 05
Country/TerritoryAustria
CitySalzburg
Period9/19/059/22/05

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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