Multisensory Data Fusion for Human Activities Classification and Fall Detection

Li, H., Shrestha, A., Fioranelli, F. , Le Kernec, J. , Heidari, H. , Pepa, M., Cippitelli, E., Gambi, E. and Spinsante, S. (2017) Multisensory Data Fusion for Human Activities Classification and Fall Detection. In: IEEE Sensors 2017, Glasgow, UK, 30 Oct - 01 Nov 2017, ISBN 9781509010127 (doi:10.1109/ICSENS.2017.8234179)

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Abstract

Significant research exists on the use of wearable sensors in the context of assisted living for activities recognition and fall detection, whereas radar sensors have been studied only recently in this domain. This paper approaches the performance limitation of using individual sensors, especially for classification of similar activities, by implementing information fusion of features extracted from experimental data collected by different sensors, namely a tri-axial accelerometer, a micro-Doppler radar, and a depth camera. Preliminary results confirm that combining information from heterogeneous sensors improves the overall performance of the system. The classification accuracy attained by means of this fusion approach improves by 11.2% compared to radar-only use, and by 16.9% compared to the accelerometer. Furthermore, adding features extracted from a RGB-D Kinect sensor, the overall classification accuracy increases up to 91.3%.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Pepa, Mr Matteo and Li, Mr Haobo and Fioranelli, Dr Francesco and Heidari, Dr Hadi and Le Kernec, Dr Julien and Shrestha, Mr Aman
Authors: Li, H., Shrestha, A., Fioranelli, F., Le Kernec, J., Heidari, H., Pepa, M., Cippitelli, E., Gambi, E., and Spinsante, S.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781509010127
Copyright Holders:Copyright © 2017 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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