Hong, Y.-J. Kim, I.-J. Ahn, S.C. Kim, H.-G. 2024-01-12T07:24:37Z 2024-01-12T07:24:37Z 2022-03-07 2008-12 0000-0000 https://pubs.kist.re.kr/handle/201004/80977 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. ？ 2008 IEEE. English IEEE Activity recognition using wearable sensors for elder care Conference 10.1109/FGCN.2008.165 1 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008, pp.302 - 305 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008 302 305 US Hainan Island 2008-12-13 Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008 2-s2.0-62349083003