DocumentCode
3071888
Title
Fall detection using multiple cameras
Author
Auvinet, Edouard ; Reveret, Lionel ; St-Arnaud, Alain ; Rousseau, Jacqueline ; Meunier, Jean
Author_Institution
Instut de genie biomedical, University of Montreal, Quebec, Canada H3C 3J7
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
2554
Lastpage
2557
Abstract
Today, different ways are suggested to help elderly people in case of emergency. Our aim here is to propose a novel method, without any wearable device, to detect falls on the floor with a multiple cameras system. This proposal uses image analysis to localise people and reconstruct their 3D shape and position. The particularity of this contribution is the use of cameras sharing a large common field of view. Experimental results obtained with 14 different fall scenarios and 14 normal daily activities showed a 100% fall detection efficiency.
Keywords
Calibration; Cameras; Detectors; Emergency services; Image analysis; Image reconstruction; Optical distortion; Proposals; Senior citizens; Shape; Acceleration; Accidental Falls; Activities of Daily Living; Algorithms; Computer Simulation; Equipment Design; Equipment Failure Analysis; Humans; Monitoring, Ambulatory; Reproducibility of Results; Telemetry; Transducers; Video Recording;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649721
Filename
4649721
Link To Document