eprintid: 1249
rev_number: 10
eprint_status: archive
userid: 6
dir: disk0/00/00/12/49
datestamp: 2012-03-28 11:23:03
lastmod: 2012-04-03 07:52:02
status_changed: 2012-03-28 11:23:03
type: book_section
metadata_visibility: show
creators_name: Abbate, Stefano
creators_name: Avvenuti, Marco
creators_name: Cola, Guglielmo
creators_name: Corsini, Paolo
creators_name: Light, Janet
creators_name: Vecchio, Alessio
creators_id: stefano.abbate@alumni.imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Recognition of false alarms in fall detection systems
ispublished: pub
subjects: QA76
subjects: R1
divisions: CSA
full_text_status: public
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;
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.
date: 2011-01
publisher: IEEE
pagerange: 23 -28
event_title: Consumer Communications and Networking Conference (CCNC), 2011 IEEE
id_number: 10.1109/CCNC.2011.5766464
refereed: TRUE
isbn: 978-1-4244-8789-9
book_title: Consumer Communications and Networking Conference (CCNC)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5766464&isnumber=5766312
citation:   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)  
document_url: http://eprints.imtlucca.it/1249/1/Recognition%20of%20false%20alarms_2011.pdf