A smart vision sensor for detecting risk factors of a toddler's fall in a home environment

Na, Hana, Qin, Sheng-feng and Wright, David (2007) A smart vision sensor for detecting risk factors of a toddler's fall in a home environment. In: Proceedings of the 2007 IEEE International Conference on Networking, Sensing and Control. IEEE, Piscataway, NJ, pp. 656-661. ISBN 1-4244-1076-2

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Abstract

This paper presents a smart vision sensor for detecting risk factors of a toddler's fall in an indoor home environment assisting parents' supervision to prevent fall injuries. We identified the risk factors by analyzing real fall injury stories and referring to a related organization's suggestions to prevent falls. In order to detect the risk factors using computer vision, two major image processing methods, clutter detection and toddler tracking, were studied with using only one commercial web-camera. For practical purposes, there is no need for a toddler to wear any sensors or markers. The algorithms for detection have been developed, implemented and tested.

Item Type:	Book Section
Uncontrolled Keywords:	computer vision, image motion analysis, image sensors
Subjects:	G900 Others in Mathematical and Computing Sciences W200 Design studies
Department:	Faculties > Arts, Design and Social Sciences > Design
Depositing User:	Ay Okpokam
Date Deposited:	21 Dec 2015 11:32
Last Modified:	12 Oct 2019 19:34
URI:	http://nrl.northumbria.ac.uk/id/eprint/25129

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