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More than thirty percent of persons over 65 years fall at least once a year and are often not able to get up again unaided. The lack of timely aid can lead to severe complications such as dehydration, pressure ulcers and death. A camera based fall detection system can provide a solution. In this paper we compare four different fall features extracted from the dominant foreground object, as well as various combinations thereof. All tests are executed using real life data, which has been recorded at the home of 4 elderly, containing 24 falls. Experiments indicate that a fall detector based on a combination of aspect ratio, head speed and fall angle is preferred. The preliminary detector, which still has a substantial false alarm rate with a precision of 0.257(±0.073) and a promising recall of 0.896(±0.194), gives insights for further improvement as is discussed. Debard G., Karsmakers P., Deschodt M., Vlaeyen E., Van den Bergh J., Dejaeger E., Milisen K., Goedemé T., Tuytelaars T., Vanrumste B., ''Camera based fall detection using multiple features validated with real life video'', Workshop proceedings 7th international conference on intelligent environments - IE 2011, vol. 10, pp. 441-450, July 25-28, 2011, Nottingham, UK. ispartof: pages:441-450 ispartof: Workshop Proceedings of the 7th International Conference on Intelligent Environments vol:10 pages:441-450 ispartof: International Conference on Intelligent Environments - IE 2011 location:Nottingham, UK date:25 Jul - 28 Jul 2011 status: published

status: published

— Many older persons fall and are not able to get up again. The lack of timely aid can lead to severe complications. A camera based fall detection system can provide a solution. This paper gives the current status of our IWT-TETRA project FallCam. The goal of the project is to create a camera based fall detection system. Part of the project is creating an acquisition system for recording simulated as well as real-life falls at the homes of older people. The detection system will be developed and tested using these recordings. Furthermore, we will explain the advantages and disadvantages of different cameras and processing systems. Our choice is a centralized PC platform in combination with two regular IP cameras in each room of the monitored house. Debard G., Van den Bergh J., Bonroy B., Deschodt M., Dejaeger E., Milisen K., Goedemé T., Vanrumste B., ''FallCam: practical considerations in implementing a camera-based fall detection system'', Positioning and context-awareness international conference - POCA 2009, May 28, 2009, Antwerp, Belgium. ispartof: pages:17-23 ispartof: PoCA 09 pages:17-23 ispartof: Positioning and Context-Awareness International Conference location:Antwerp, Belgium date:28 May - 28 May 2009 status: published