Fall detection system for elderly people

Igrejas, Getúlio; Amaral, Joana S.; Rodrigues, Pedro João

http://hdl.handle.net/10198/10552

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Authors

Igrejas, Getúlio

Amaral, Joana S.

Rodrigues, Pedro João

Abstract(s)

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.

Keywords

Fall detection Neural network Inertial sensors Features selection Embedded devices

URI

http://hdl.handle.net/10198/10552

Citation

Igrejas, G.; Amaral, J.S.; Rodrigues, P.J. (2012). Fall detection system for elderly people. In Proceedings of the International Conference on Biomedical Electronics and Devices (BIODEVICES 2012). Vilamoura. p.355-358