Title :
ADL recognition based on the combination of RFID and accelerometer sensing
Author :
Stikic, Maja ; Huynh, Tam ; Laerhoven, Kristof Van ; Schiele, Bernt
Author_Institution :
Fraunhofer IGD, Darmstadt
fDate :
Jan. 30 2008-Feb. 1 2008
Abstract :
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 tagspsila placements and the key objects to be tagged for each activity.
Keywords :
geriatrics; health care; mobile computing; sensor fusion; RFID; accelerometer sensing; activities of daily living; elderly care; unobtrusive activity recognition system; Acceleration; Accelerometers; Algorithm design and analysis; Monitoring; Performance evaluation; RFID tags; Radiofrequency identification; Senior citizens; Sensor systems; Wearable sensors;
Conference_Titel :
Pervasive Computing Technologies for Healthcare, 2008. PervasiveHealth 2008. Second International Conference on
Conference_Location :
Tampere
Print_ISBN :
978-963-9799-15-8
DOI :
10.1109/PCTHEALTH.2008.4571084