使用無監督式和監督式學習算法在MEMS的加速度 資料上爲人類行走行爲分類

Full metadata record

DC Field	Value	Language
dc.contributor.author	阮玉美	en_US
dc.contributor.author	NGUYEN,NGOC-MY	en_US
dc.contributor.author	邵家健	en_US
dc.contributor.author	Zao , John Kar-kin	en_US
dc.date.accessioned	2015-11-26T01:02:02Z	-
dc.date.available	2015-11-26T01:02:02Z	-
dc.date.issued	2015	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#GT070260827	en_US
dc.identifier.uri	http://hdl.handle.net/11536/127147	-
dc.language.iso	en_US	en_US
dc.subject	行走行爲分類	zh_TW
dc.subject	Human Gaiting	en_US
dc.subject	Affinity Propagation	en_US
dc.subject	Support Vector Machine	en_US
dc.subject	Clustering	en_US
dc.subject	Classification	en_US
dc.subject	Features Selection	en_US
dc.title	使用無監督式和監督式學習算法在MEMS的加速度資料上爲人類行走行爲分類	zh_TW
dc.title	Classification of Human Gaiting Patterns based on MEMS Accelerometer Data using Unsupervised and Supervised Learning Algorithms	en_US
dc.type	Thesis	en_US
dc.contributor.department	電機資訊國際學程	zh_TW
Appears in Collections:	Thesis