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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649721