An integrated system for people fall-detection with data fusion capabilities based on 3D ToF camera and wireless accelerometer
M. Grassi, Andrea Lombardi, Gabriele Rescio, Massimo Ferri, P. Malcovati, Alessandro Leone, Giovanni Diraco, Pietro Aleardo Siciliano, Mattia Malfatti, L. Gonzo · 2010
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.