DocumentCode
1690486
Title
Indoor RFID gait monitoring system for fall detection
Author
Chen, Yung-Chin ; Lin, Yi-Wen
Author_Institution
Asia Univ., Japan
fYear
2010
Firstpage
207
Lastpage
212
Abstract
Due to home accidents occurring within the world´s aging population, especially with the accidental stumble and falling of the elderly, mortality and morbidity from falls have become one of the major issues in the health care system. In most developed countries, most frequent stumbles and falls occur in and around the community or at home. A number of wearable devices integrated with accelerometers have been tested to detect accidental stumbles and falls. Of those tested using waist or chest-attached devices, however, were not only user unfriendly but also deficient in 100% detection accuracy. In this paper, a RFID-based gait monitoring system (RGMS) is proposed, which helps caregivers detect stumbles and falls of the elderly without any restriction to time and place. The proposed RGMS consists of a pair of slippers with a dual band RFID module, several readers and a computing system. The RGMS provides quantitative and graphical feedback to caregivers for gait monitoring and the assessment of gait abnormality by tracking the elder´s cadence, stride length, and gait. This gait tracking system is responsive, accurate, and most of all user friendly.
Keywords
accelerometers; biomedical telemetry; gait analysis; geriatrics; health care; medical computing; patient monitoring; radiofrequency identification; accelerometers; chest-attached devices; computing system; detection accuracy; dual band RFID module; fall detection; gait tracking system; health care system; indoor RFID gait monitoring system; slippers; wearable devices; Accuracy; Antennas; Biology; Biomedical monitoring; Lead; Monitoring; RFID; aging; falls; gait; stumbles;
fLanguage
English
Publisher
ieee
Conference_Titel
Aware Computing (ISAC), 2010 2nd International Symposium on
Conference_Location
Tainan
Print_ISBN
978-1-4244-8313-6
Type
conf
DOI
10.1109/ISAC.2010.5670478
Filename
5670478
Link To Document