Activity Recognition Using Wearable Sensors for Elder Care

  • Authors:
  • Yu-Jin Hong;Ig-Jae Kim;Sang Chul Ahn;Hyoung-Gon Kim

  • Affiliations:
  • -;-;-;-

  • Venue:
  • FGCN '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 02
  • Year:
  • 2008

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Abstract

We propose a novel method to recognize a user’s activities of daily living with accelerometers and rfid sensor. Two wireless accelerometers are used for the classification of 5 human body states using decision tree, and detection of RFID tagged objects with hand movement provides additional object related hand motion information. To do this, we used Bluetooth based wireless triaxial accelerometers and iGrabber which is a glove type RFID reader. Our experiments show that our method can be applicable to a real environment with strong confidence.