A hardware-software framework for high-reliability people fall detection

This paper presents a hardware and software framework for reliable fall detection in the home environment, with particular focus on the protection and assistance to the elderly. The integrated prototype includes three different sensors: a 3D time-of-flight range camera, a wearable MEMS accelerometer...

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Bibliographic Details
Published in2008 IEEE Sensors pp. 1328 - 1331
Main Authors Grassi, M., Lombardi, A., Rescio, G., Malcovati, P., Malfatti, M., Gonzo, L., Leone, A., Diraco, G., Distante, C., Siciliano, P., Libal, V., Huang, J., Potamianos, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
Accelerometers
Cameras
Hardware
Integrated circuit reliability
Micromechanical devices
Protection
Prototypes
Senior citizens
Software prototyping
Wearable sensors
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Summary:This paper presents a hardware and software framework for reliable fall detection in the home environment, with particular focus on the protection and assistance to the elderly. The integrated prototype includes three different sensors: a 3D time-of-flight range camera, a wearable MEMS accelerometer and a microphone. These devices are connected with custom interface circuits to a central PC that collects and processes the information with a multi-threading approach. For each of the three sensors, an optimized algorithm for fall-detection has been developed and benchmarked on a collected mulitimodal database. This work is expected to lead to a multi-sensory approach employing appropriate fusion techniques aiming to improve system efficiency and reliability.
ISBN:1424425808
9781424425808
ISSN:1930-0395
2168-9229
DOI:10.1109/ICSENS.2008.4716690