FALL DETECTION SYSTEM FOR ELDERLY PEOPLE - A Neural Network Approach

Getúlio Igrejas, Joana S. Amaral, Pedro J. Rodrigues

2012

Abstract

In this work a new approach for a fall detection system is proposed. The device integrates a 3-axis accelerometer and a 3-axis gyroscope to measure linear acceleration and angular velocities, respectively. Information from both sensors is used to characterize movements through selected features extracted from raw data. A classification system based on a Feedforward Backpropagation Neural Network is then trained, based on the extracted features. The performed tests present low false positives and low false negatives rates with good specificity and sensitivity values.

References

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Paper Citation


in Harvard Style

Igrejas G., S. Amaral J. and J. Rodrigues P. (2012). FALL DETECTION SYSTEM FOR ELDERLY PEOPLE - A Neural Network Approach . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2012) ISBN 978-989-8425-91-1, pages 355-358. DOI: 10.5220/0003792003550358


in Bibtex Style

@conference{biodevices12,
author={Getúlio Igrejas and Joana S. Amaral and Pedro J. Rodrigues},
title={FALL DETECTION SYSTEM FOR ELDERLY PEOPLE - A Neural Network Approach},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2012)},
year={2012},
pages={355-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003792003550358},
isbn={978-989-8425-91-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2012)
TI - FALL DETECTION SYSTEM FOR ELDERLY PEOPLE - A Neural Network Approach
SN - 978-989-8425-91-1
AU - Igrejas G.
AU - S. Amaral J.
AU - J. Rodrigues P.
PY - 2012
SP - 355
EP - 358
DO - 10.5220/0003792003550358