A Video-Based Fall Detector Sensor Well Suited for a Data-Fusion Approach

Guido Matrella, P. Acuna Guillermo, Monica Mordonini, Stefano Cagnoni · IOS Press eBooks · 2009

This paper describes an innovative video fall detector which can be implemented in hardware. The goal was to design a very economic embedded video sensor, based on a computationally light algorithm. Such a sensor can be placed in an environment equipped with an ‘ambient intelligence system’, to produce a robust detection of fall events, using a data-fusion approach which exploits the correlation of information obtained from this and other sensors (wearable sensors, audio sensors, etc.).

Read the paper · More papers on PaperTik