Biblioteca Digital do Instituto Politécnico de Bragança   Instituto Politécnico de Bragança

Biblioteca Digital do IPB >
Escola Superior de Tecnologia e Gestão >
Electrotecnia >
DE - Posters em Encontros Científicos Nacionais >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/4762

Título: A neural network based fall detector
Autor: Rodrigues, Pedro
Amaral, J.S.
Igrejas, Getúlio
Palavras-chave: Neural network
fall detector
Issue Date: 2010
Citação: Rodrigues, Pedro; Amaral, J.S.; Igrejas, Getúlio (2010) - A neural network based fall detector. In RECPAD. Vila Real.
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.
Arbitragem científica: yes
URI: http://hdl.handle.net/10198/4762
Appears in Collections:DE - Posters em Encontros Científicos Nacionais

Files in This Item:

File Description SizeFormat
Poster Recpad I.pdf406,32 kBAdobe PDFView/Open
Restrict Access. You can request a copy!

Statistics
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 


  © Instituto Politécnico de Bragança - Biblioteca Digital - Feedback - Statistics
  Estamos no RCAAP Governo Português separator Ministério da Educação e Ciência   Fundação para a Ciência e a Tecnologia

Financiado por:

POS_C UE