Feature Extraction from Human Gaiting Patterns using Principal Component Analysis and Multivariate Empirical Mode Decomposition

Title:	Feature Extraction from Human Gaiting Patterns using Principal Component Analysis and Multivariate Empirical Mode Decomposition
Authors:	ZAO JOHN KAR-KIN LU CHIH-KAI
Issue Date:	15-Oct-2015
Abstract:	The present invention, in some embodiments thereof, relates to a technique for extracting one or more features of a person's gait from acceleration and velocity measurements collected by motion sensors associated with the person.
Gov't Doc #:	G01P015/16 G01C022/00 G01B021/00
URI:	http://hdl.handle.net/11536/128698
Patent Country:	USA
Patent Number:	20150293143
Appears in Collections:	Patents

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APA	ZAO J. KAR-KIN, & LU C. (2015). Feature Extraction from Human Gaiting Patterns using Principal Component Analysis and Multivariate Empirical Mode Decomposition. http://hdl.handle.net/11536/128698.
Bibtex	@article{2015Feature, title={Feature Extraction from Human Gaiting Patterns using Principal Component Analysis and Multivariate Empirical Mode Decomposition}, author={ZAO JOHN KAR-KIN and LU CHIH-KAI}, journal={http://hdl.handle.net/11536/128698}, year={2015}, url={https://ir.lib.nycu.edu.tw/handle/11536/128698}, }