DocumentCode
162342
Title
Feature extraction from accelerometric activity monitoring system
Author
Santha, Gergo ; Hermann, Gyula
Author_Institution
Obuda Univ., Budapest, Hungary
fYear
2014
fDate
15-17 May 2014
Firstpage
249
Lastpage
252
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
Conference_Location
Timisoara
Type
conf
DOI
10.1109/SACI.2014.6840070
Filename
6840070
Link To Document