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Authors: Jiann-I Pan 1 ; Cheng-Jie Yung 1 and Chung Chao Liang 2

Affiliations: 1 Tzu-Chi University, Taiwan ; 2 M.D., Tzu-Chi Hospital, Taiwan

ISBN: 978-972-8865-59-7

Keyword(s): Fall detection, accelerometer, neural network, back-propagation model.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Neural Networks Based Control Systems

Abstract: Falling down is going to be a crucial problem to an elder today. In many countries, unintentional injury was being one of the leading causes of death in persons over age 65 years. As the society now, there are more and more solitary elders of life alone and because of the isolation, it is necessary to design an intelligent and sensitive falling detector for the elderly people. In this paper, we present an intelligent and portable fall detection device based on artificial neural network technology. This fall detector consists of two main components: accelerometer and microprocessor. The tri-axis accelerometer is used to continuously measure the variation of elder’s 3 ways acceleration. The microprocessor reads the signals from the accelerometer and performs the fall activity recognition through a back-propagation neural network model. This device is integrated in a small box which can be holding on the belt for elder.

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Paper citation in several formats:
Pan J.; Yung C.; Chao Liang C. and (2006). A NEURAL NETWORK-BASED SENSOR FOR ELDER FALLING DETECTION.In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-972-8865-59-7, pages 203-206. DOI: 10.5220/0001210002030206

@conference{icinco06,
author={Jiann{-}I Pan and Cheng{-}Jie Yung and Chung {Chao Liang}},
title={A NEURAL NETWORK-BASED SENSOR FOR ELDER FALLING DETECTION},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2006},
pages={203-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001210002030206},
isbn={978-972-8865-59-7},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - A NEURAL NETWORK-BASED SENSOR FOR ELDER FALLING DETECTION
SN - 978-972-8865-59-7
AU - Pan, J.
AU - Yung, C.
AU - Chao Liang, C.
PY - 2006
SP - 203
EP - 206
DO - 10.5220/0001210002030206

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