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

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DC Field	Value	Language
dc.contributor.author	ZAO JOHN KAR-KIN	en_US
dc.contributor.author	LU CHIH-KAI	en_US
dc.date.accessioned	2015-12-04T07:03:15Z	-
dc.date.available	2015-12-04T07:03:15Z	-
dc.date.issued	2015-10-15	en_US
dc.identifier.govdoc	G01P015/16	zh_TW
dc.identifier.govdoc	G01C022/00	zh_TW
dc.identifier.govdoc	G01B021/00	zh_TW
dc.identifier.uri	http://hdl.handle.net/11536/128698	-
dc.description.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.	zh_TW
dc.language.iso	zh_TW	en_US
dc.title	Feature Extraction from Human Gaiting Patterns using Principal Component Analysis and Multivariate Empirical Mode Decomposition	zh_TW
dc.type	Patents	en_US
dc.citation.patentcountry	USA	zh_TW
dc.citation.patentnumber	20150293143	zh_TW
Appears in Collections:	Patents

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