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Advisor(s)
Abstract(s)
In this work a new approach for a fall
detection system is proposed. The device integrates
a 3-axis 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.
Description
Keywords
Citation
Igrejas, Getúlio; Amaral, J.S.; Rodrigues, P.J. (2012). Fall detection system for elderly people : a neural network approach. In Final Program and Book of Abstracts BIOSTEC 2012. Vilamoura, Portugal