Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/4829
Título: A neural network based fall detector
Autor: Rodrigues, Pedro
Amaral, J.S.
Igrejas, Getúlio
Palavras-chave: Fall detector
Neural network
Data: 2010
Citação: Rodrigues, Pedro; Amaral, J.S.; Igrejas, Getúlio (2010) - A neural network based fall detector. In RECPAD. Vila Real. ISBN 978-972-669-990-3.
Resumo: In this project we present an intelligent fall detector system based on a 3-axis accelerometer and a neural network model that allows recognizing several possible motion situations and performing an emergency call only when a fall situation occurs, with low false negatives rate and low false positives rate. The system is based on a two module platform. The first one is a Mobile Station (MS) and should be carried always by the person. An accelerometer is implemented in this module and its information is transferred via a radio-frequency channel (RF) to the Base Station (BS). The BS is fixed and is connected to a GSM (Global System for Mobile communication) module. A neural network model was built into the BS and is able to identify falls from other possible motion situations, based on the received information. According to the neural network response the system sends a SMS (Short Message Service) to a destination number requesting for assistance.
Peer review: yes
URI: http://hdl.handle.net/10198/4829
ISBN: 978-972-669-990-3
Aparece nas colecções:ESTiG - Artigos em Proceedings Não Indexados à WoS/Scopus

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RECPAD2010-1.pdf376,09 kBAdobe PDFVer/Abrir
RECPAD2010-1 - resumo.pdf257,9 kBAdobe PDFVer/Abrir

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