Title :
An integrated system for people fall-detection with data fusion capabilities based on 3D ToF camera and wireless accelerometer
Author :
Grassi, M. ; Lombardi, A. ; Rescio, G. ; Ferri, M. ; Malcovati, P. ; Leone, A. ; Diraco, G. ; Siciliano, P. ; Malfatti, M. ; Gonzo, L.
Author_Institution :
Dept. of Electr. Eng., Univ. of Pavia, Pavia, Italy
Abstract :
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.
Keywords :
accelerometers; cameras; embedded systems; intelligent sensors; microsensors; patient monitoring; sensor fusion; wireless sensor networks; 3D time-of-flight camera; MEMS wearable wireless accelerometer; data fusion capability; embedded computing system; home environment; integrated system; multisensor system; onboard fall detection algorithms; people fall detection; subsensory systems;
Conference_Titel :
Sensors, 2010 IEEE
Conference_Location :
Kona, HI
Print_ISBN :
978-1-4244-8170-5
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2010.5690746
