Activity recognition of the elderly

  • Authors:
  • Matti Pouke;Seamus Hickey;Tomohiro Kuroda;Haruo Noma

  • Affiliations:
  • University of Oulu, Univ. of Oulu, Finland;University of Oulu, Univ. of Oulu, Finland;Kyoto University Hospital, Kyoto, Japan;ATR Intelligent Robotics and Communications Lab, Kyoto, Japan

  • Venue:
  • Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems
  • Year:
  • 2010

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Abstract

The development of context aware services is one proposed way to support independent living for the elderly. Performing test scenarios with the elderly helps when developing the context aware services. However, rigorous testing is not always desirable when working with elderly subjects. Our research proposes to capture the activity data of the subjects to use with a virtual environment and virtual human to test the services. This paper begins a larger set of research by describing a process in which the daily activities of the elderly are captured using accelerometer sensors. The process consists of pre-investigation, data capturing and data postprocessing. Using common activity recognition methods daily activities chosen by two elderly subjects themselves are recognized reasonably well. This allows using the described process in larger experiments to acquire more activity data.