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Fall detection using an address-event temporal contrast vision sensor


Fu, Z; Culurciello, E; Lichtsteiner, P; Delbruck, T (2008). Fall detection using an address-event temporal contrast vision sensor. In: IEEE. Proceedings of 2008 IEEE International Symposium on Circuits and Systems (ISCAS 2008), Seattle, WA, 18-21 May 2008. Piscataway, NJ, US: IEEE Service Center, 424-427.

Abstract

In this paper we describe an address-event vision system designed to detect accidental falls in elderly home care applications. The system raises an alarm when a fall hazard is detected. We use an asynchronous temporal contrast vision sensor which features sub-millisecond temporal resolution. A lightweight algorithm computes an instantaneous motion vector and reports fall events. We are able to distinguish fall events from normal human behavior, such as walking, crouching down, and sitting down. Our system is robust to the monitored person's spatial position in a room and presence of pets.

In this paper we describe an address-event vision system designed to detect accidental falls in elderly home care applications. The system raises an alarm when a fall hazard is detected. We use an asynchronous temporal contrast vision sensor which features sub-millisecond temporal resolution. A lightweight algorithm computes an instantaneous motion vector and reports fall events. We are able to distinguish fall events from normal human behavior, such as walking, crouching down, and sitting down. Our system is robust to the monitored person's spatial position in a room and presence of pets.

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15 citations in Web of Science®
25 citations in Scopus®
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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2008
Deposited On:06 Mar 2009 16:33
Last Modified:05 Apr 2016 13:10
Publisher:IEEE Service Center
ISBN:978-1-4244-1683-7
Additional Information:© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publisher DOI:10.1109/ISCAS.2008.4541445
Permanent URL: http://doi.org/10.5167/uzh-17607

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