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.
|Title of host publication||Proceedings of the 2007 IEEE International Conference on Networking, Sensing and Control|
|Place of Publication||Piscataway, NJ|
|Publication status||Published - Apr 2007|
|Event||2007 IEEE International Conference on Networking, Sensing and Control - London|
Duration: 1 Apr 2007 → …
|Conference||2007 IEEE International Conference on Networking, Sensing and Control|
|Period||1/04/07 → …|