Feature extraction from accelerometric activity monitoring system

Abstract

In this paper, various feature extraction methods are described using a wireless activity monitoring system [2]. The 3-axis accelerometric data was received from a collar, which can be mounted on free-roaming animals. Statistical signal features (mean, standard deviation, correlation between axes), tilt angles, periodicity and spectral features were extracted to form feature vectors for further analysis.