DocumentCode :
2849399
Title :
HOLDS: Efficient Fall Detection through Accelerometers and Computer Vision
Author :
Fern´ndez-Caballero, A. ; Sokolova, Marina V. ; Serrano-Cuerda, Juan ; Castillo, José Carlos ; Moreno, Verónica ; Castineira, Rodrigo ; Redondo, Luis
Author_Institution :
Dept. de Sist. Informaticos, Albacete Univ. de Castilla-La Mancha, Albacete, Spain
fYear :
2012
fDate :
26-29 June 2012
Firstpage :
367
Lastpage :
370
Abstract :
This paper introduces the technical description of ICT R&D project Fall Detection -- HOLDS. The purpose of this project is to quickly assist elderly people or people who have a cognitive or motor disability when they suffer a fall at outdoor and indoor spaces. The project is aimed at enhancing the safety of these target groups and allows the elderly and impaired to carry out a more normal lifestyle. The HOLDS project is based on currently rising technologies, namely wireless sensors & actuators networks (WSAN) combined with advanced image processing. The HOLDS system comprises two subsystems, accelerometer-based fall detection and computer-vision-based (visible and infrared) fall detection, which are collected in a central system.
Keywords :
accelerometers; actuators; computer vision; handicapped aids; wireless sensor networks; HOLDS project; ICT R&D project; accelerometer-based fall detection; actuators network; central system; cognitive disability; computer vision; elderly people assistance; image processing; infrared fall detection; motor disability; visible fall detection; wireless sensor; Accelerometers; Humans; Mobile communication; Monitoring; Prototypes; Senior citizens; Wireless sensor networks; Elderly fall detection; colour video; computer vision; infrared video; wireless accelerometer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Environments (IE), 2012 8th International Conference on
Conference_Location :
Guanajuato
Print_ISBN :
978-1-4673-2093-1
Type :
conf
DOI :
10.1109/IE.2012.11
Filename :
6258554
Link To Document :
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