relation: http://eprints.imtlucca.it/1249/
title: Recognition of false alarms in fall detection systems
creator: Abbate, Stefano
creator: Avvenuti, Marco
creator: Cola, Guglielmo
creator: Corsini, Paolo
creator: Light, Janet
creator: Vecchio, Alessio
subject: QA76 Computer software
subject: R Medicine (General)
description: 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.
publisher: IEEE
date: 2011-01
type: Book Section
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/1249/1/Recognition%20of%20false%20alarms_2011.pdf
identifier:   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)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5766464&isnumber=5766312
relation: 10.1109/CCNC.2011.5766464