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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Abstract
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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