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Recognition of false alarms in fall detection systems

Abbate, Stefano and Avvenuti, Marco and Cola, Guglielmo and Corsini, Paolo and Light, Janet and Vecchio, Alessio Recognition of false alarms in fall detection systems. In: Consumer Communications and Networking Conference (CCNC). IEEE, 23 -28. ISBN 978-1-4244-8789-9 (2011)

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Falls are a major cause of hospitalization and injury-related deaths among the elderly population. The detrimental effects of falls, as well as the negative impact on health services costs, have led to a great interest on fall detection systems by the health-care industry. The most promising approaches are those based on a wearable device that monitors the movements of the patient, recognizes a fall and triggers an alarm. Unfortunately such techniques suffer from the problem of false alarms: some activities of daily living are erroneously reported as falls, thus reducing the confidence of the user. This paper presents a novel approach for improving the detection accuracy which is based on the idea of identifying specific movement patterns into the acceleration data. Using a single accelerometer, our system can recognize these patterns and use them to distinguish activities of daily living from real falls; thus the number of false alarms is reduced.

Item Type: Book Section
Identification Number: 10.1109/CCNC.2011.5766464
Uncontrolled Keywords: accelerometer; elderly population; fall detection systems; fall recognition; false alarms; health services costs; hospitalization; injury-related deaths; specific movement patterns; wearable device;accelerometers;biomechanics;biomedical measurement;geriatrics;health care;injuries;medical signal detection;patient monitoring;telemedicine;
Subjects: Q Science > QA Mathematics > QA76 Computer software
R Medicine > R Medicine (General)
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 28 Mar 2012 11:23
Last Modified: 03 Apr 2012 07:52
URI: http://eprints.imtlucca.it/id/eprint/1249

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