An integrated system for people fall-detection with data fusion capabilities based on 3D ToF camera and wireless accelerometer

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 al...

Full description

Saved in:
Bibliographic Details
Published in2010 IEEE Sensors pp. 1016 - 1019
Main Authors Grassi, M, Lombardi, A, Rescio, G, Ferri, M, Malcovati, P, Leone, A, Diraco, G, Siciliano, P, Malfatti, M, Gonzo, L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Acceleration
Accelerometers
Cameras
Reliability
Three dimensional displays
Wireless communication
Wireless sensor networks
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9781424481705
1424481708
ISSN:1930-0395
2168-9229
DOI:10.1109/ICSENS.2010.5690746