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ADL recognition based on the combination of RFID and accelerometer sensing

: Stikic, Maja; Huynh, Tam; Laerhoven, Kristof van; Schiele, Bernt

Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering -ICST-, Brussels; Institute of Electrical and Electronics Engineers -IEEE-:
Pervasive Health 2008, 2nd International Conference on Pervasive Computing Technologies for Healthcare. Proceedings. CD-ROM : Tampere, Finland 30 Jan - 1 Feb 2008
Tampere, 2008
ISBN: 978-963-9799-15-8
International Conference on Pervasive Computing Technologies for Healthcare <2, 2008, Tampere>
Conference Paper
Fraunhofer IGD ()
radio frequency identification (RFID); Context-Awareness; activities of daily living (ADL); activity recognition

The manual assessment of Activities of Daily Living (ADLs) is a fundamental problem in elderly care. The use of miniature sensors placed in the environment or worn by a person has great potential in effective and unobtrusive long term monitoring and recognition of ADLs. This paper presents an effective and unobtrusive activity recognition system based on the combination of the data from two different types of sensors: RFID tag readers and accelerometers. We evaluate our algorithms on non-scripted datasets of 10 housekeeping activities performed by 12 subjects. The experimental results show that recognition accuracy can be significantly improved by fusing the two different types of sensors. We analyze different acceleration features and algorithms, and based on tag detections we suggest the best tags' placements and the key objects to be tagged for each activity.