Publication

Fall detection system for elderly people

View document

Bibliographic Details
Summary: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.
Main Authors:Igrejas, Getúlio
Other Authors:Amaral, Joana S.; Rodrigues, Pedro João
Subject:Fall detection Neural network Inertial sensors Features selection Embedded devices
Year:2012
Country:Portugal
Document type:conference paper
Access type:restricted access
Associated institution:Instituto Politécnico de Bragança
Language:English
Origin:Biblioteca Digital do IPB

Similar Items

Similar Items