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Authors: Getúlio Igrejas 1 ; Joana S. Amaral 2 and Pedro J. Rodrigues 1

Affiliations: 1 Polytechnic Institute of Bragança, Portugal ; 2 Polytechnic Institute of Bragança, REQUIMTE, Pharmacy Faculty and University of Porto, Portugal

Keyword(s): Fall Detection, Neural Network, Inertial Sensors, Features Selection, Embedded Devices.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Instruments and Devices ; Devices ; Embedded Signal Processing ; Health Monitoring Devices ; Human-Computer Interaction ; Physiological Computing Systems

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.

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Paper citation in several formats:
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 (BIOSTEC 2012) - BIODEVICES; ISBN 978-989-8425-91-1; ISSN 2184-4305, SciTePress, pages 355-358. DOI: 10.5220/0003792003550358

@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 (BIOSTEC 2012) - BIODEVICES},
year={2012},
pages={355-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003792003550358},
isbn={978-989-8425-91-1},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Biomedical Electronics and Devices (BIOSTEC 2012) - BIODEVICES
TI - FALL DETECTION SYSTEM FOR ELDERLY PEOPLE - A Neural Network Approach
SN - 978-989-8425-91-1
IS - 2184-4305
AU - Igrejas, G.
AU - S. Amaral, J.
AU - J. Rodrigues, P.
PY - 2012
SP - 355
EP - 358
DO - 10.5220/0003792003550358
PB - SciTePress

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