Abstract— Falls are one of the major risks of injury for elderly living alone at home. Computer vision-based systems offer a new, low-cost and promising solution for fall detection. This paper presents a new fall-detection tool, based on a commercial RGB-D camera. The proposed system is capable of accurately detecting several types of falls, performing … Leggi tutto Vitoantonio Bevilacqua, Alessio Volpe, Nicola Nuzzolese, Fabio Stroppa, Marco Suma, Dario D’Ambruoso, Donato Barone, Michele Pantaleo, Claudio Loconsole: “Fall Detection in indoor environment with Kinect sensor”, IEEE INISTA 2014, pp – , (June 2014).