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

fYear

2010

fDate

1-4 Nov. 2010

Firstpage

1016

Lastpage

1019

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensors, 2010 IEEE

Conference_Location

Kona, HI

ISSN

1930-0395

Print_ISBN

978-1-4244-8170-5

Electronic_ISBN

1930-0395

Type

conf

DOI

10.1109/ICSENS.2010.5690746

Filename

5690746