Title :
Feature extraction from accelerometric activity monitoring system
Author :
Santha, Gergo ; Hermann, Gyula
Author_Institution :
Obuda Univ., Budapest, Hungary
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.
Keywords :
accelerometers; computerised monitoring; feature extraction; statistical analysis; 3-axis accelerometer; accelerometric activity monitoring system; collar; feature vectors; free roaming animals; periodicity; spectral feature extraction; statistical signal feature extraction; tilt angle; wireless activity monitoring system; Animals; Biomedical monitoring; Monitoring;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
Conference_Location :
Timisoara
DOI :
10.1109/SACI.2014.6840070
