Utilize este identificador para referenciar este registo: 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
Data: 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.
Peer review: yes
URI: http://hdl.handle.net/10198/4762
Aparece nas colecções:DE - Posters em Encontros Científicos Nacionais

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Poster Recpad I.pdf406,32 kBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.