HOLDS: Efficient Fall Detection through Accelerometers and Computer Vision

Autor: Luis Redondo, José Carlos Castillo, Juan Serrano-Cuerda, Veronica Moreno, Rodrigo Castineira, Marina V. Sokolova, Antonio Fern'ndez-Caballero
Rok vydání: 2012
Předmět:
Zdroj: Intelligent Environments
DOI: 10.1109/ie.2012.11
Popis: This paper introduces the technical description of ICT RaD 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 a 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.
Databáze: OpenAIRE