A MULTI-SENSOR SYSTEM FOR FALL DETECTION IN AMBIENT ASSISTED LIVING CONTEXTS

Giovanni Diraco, Alessandro Leone, Pietro Siciliano, Marco Grassi, Piero Malcovati

2012

Abstract

The aging population represents an emerging challenge for healthcare since elderly people frequently suffer from chronic diseases requiring continuous medical care and monitoring. Sensor networks are possible enabling technologies for ambient assisted living solutions helping elderly people to be independent and to feel more secure. This paper presents a multi-sensor system for the detection of people falls in home environment. Two kinds of sensors are used: a wearable wireless accelerometer with onboard fall detection algorithms and a time-of-flight camera. A coordinator node receives data from the two sub-sensory systems with their associated level of confidence and, on the basis of a data fusion logic, it operates the validation and correlation among the two sub-systems delivered data in order to rise overall system performance with respect to each single sensor sub-system. Achieved results show the effectiveness of the suggested multi-sensor approach for improving fall detection service in ambient assisted living contexts.

Paper Citation

in Harvard Style

Diraco G., Leone A., Siciliano P., Grassi M. and Malcovati P. (2012). A MULTI-SENSOR SYSTEM FOR FALL DETECTION IN AMBIENT ASSISTED LIVING CONTEXTS . In Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-01-3, pages 213-219. DOI: 10.5220/0003834202130219

in Bibtex Style

@conference{sensornets12,
author={Giovanni Diraco and Alessandro Leone and Pietro Siciliano and Marco Grassi and Piero Malcovati},
title={A MULTI-SENSOR SYSTEM FOR FALL DETECTION IN AMBIENT ASSISTED LIVING CONTEXTS},
booktitle={Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2012},
pages={213-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003834202130219},
isbn={978-989-8565-01-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - A MULTI-SENSOR SYSTEM FOR FALL DETECTION IN AMBIENT ASSISTED LIVING CONTEXTS
SN - 978-989-8565-01-3
AU - Diraco G.
AU - Leone A.
AU - Siciliano P.
AU - Grassi M.
AU - Malcovati P.
PY - 2012
SP - 213
EP - 219
DO - 10.5220/0003834202130219