A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data

• Published in: IEEE transactions on biomedical engineering Vol. 56; no. 3; pp. 871 - 879
• Main Authors: Preece, Stephen J., Goulermas, John Yannis, Kenney, Laurence P. J., Howard, David
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2009; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Activity classification; Adult; Algorithms; ambulatory monitoring; Ankle - physiology; Feature extraction; Female; Frequency; Humans; Legged locomotion; Locomotion - physiology; machine learning; Male; Medical services; Models, Theoretical; Monitoring; Monitoring, Ambulatory - methods; Movement; Performance analysis; Reproducibility of Results; Robustness; Signal Processing, Computer-Assisted; Thigh - physiology; wavelet transform; Wavelet transforms

Driven by the demands on healthcare resulting from the shift toward more sedentary lifestyles, considerable effort has been devoted to the monitoring and classification of human activity. In previous studies, various classification schemes and feature extraction methods have been used to identify di...