Title: Activity Recognition Using Wearable Sensors for Elder Care
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.
Publication Year: 2008
Publication Date: 2008-12-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 139
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