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Type: 
Conference
Description: 
This paper presents a multi-sensor system for the detection of people falls in the home environment. Two kinds of devices are used: a MEMS wearable wireless accelerometer with onboard fall detection algorithms and a 3D Time-of-Flight camera. An embedded computing system receives the possible fall alarm data from the two sub-sensory systems and their associated level of confidence. The computing module hosts a data fusion software to operate the validation and correlation among the two subsystems delivered data in order to rise overall system efficiency performance with respect to each single sensor sub-system.
Publisher: 
IEEE
Publication date: 
1 Nov 2010
Authors: 

M Grassi, A Lombardi, G Rescio, M Ferri, P Malcovati, A Leone, G Diraco, P Siciliano, Mattia Malfatti, Lorenzo Gonzo

Biblio References: 
Pages: 1016-1019
Origin: 
SENSORS, 2010 IEEE