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Automatic ADL Classification Using 3 Axial Accelerometers and RFID Sensor  

Im, Sae-Mi (Korea Institute of Science and Technology, Dept. of HCI and Robotics, University of Science and Technology)
Kim, Ig-Jae (Korea Institute of Science and Technology)
Ahn, Sang-Chul (Korea Institute of Science and Technology)
Kim, Hyoung-Gon (Korea Institute of Science and Technology)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.45, no.3, 2008 , pp. 135-141 More about this Journal
Abstract
We propose a new method for recognizing the activities of daily living(ADL) based on the state-dependent motion analysis using 3-axial accelerometers and a glove type RFID reader. Two accelerometers are used for the classification of 5 body states based on the decision tree. Classification of the instrumental activities is performed based on the hand interaction with an object ID using an accelerometer and a RFID reader. Object-dependent hand movements are classified into 5 categories in advance and final decision combines the body state and the instrumental activities. Experiment shows that the suggested hierarchical motion analysis provides accuracy rate of over 90% for all 20 ADLs.
Keywords
ADL; RFID;
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