A practical approach to recognizing physical activities

  • Authors:
  • Jonathan Lester;Tanzeem Choudhury;Gaetano Borriello

  • Affiliations:
  • Department of Electrical Engineering, University of Washington, Seattle, WA;Intel Research Seattle, Seattle, WA;Intel Research Seattle, Seattle, WA

  • Venue:
  • PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
  • Year:
  • 2006

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Abstract

We are developing a personal activity recognition system that is practical, reliable, and can be incorporated into a variety of health-care related applications ranging from personal fitness to elder care. To make our system appealing and useful, we require it to have the following properties: (i) data only from a single body location needed, and it is not required to be from the same point for every user; (ii) should work out of the box across individuals, with personalization only enhancing its recognition abilities; and (iii) should be effective even with a cost-sensitive subset of the sensors and data features. In this paper, we present an approach to building a system that exhibits these properties and provide evidence based on data for 8 different activities collected from 12 different subjects. Our results indicate that the system has an accuracy rate of approximately 90% while meeting our requirements. We are now developing a fully embedded version of our system based on a cell-phone platform augmented with a Bluetooth-connected sensor board.