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	A multisensor multiclassifier hierarchical fusion model based on entropy weight for human activity recognition using wearable inertial sensors
	Guo, Ming; Wang, Zhelong; Yang, Ning; Li, Zhenglin; An, Tiantian
刊名	IEEE Transactions on Human-Machine Systems
	2019
卷号	49页码:105-111
关键词	Entropy Feature extraction Inertial navigation systems Linear transformations Pattern recognition Pattern recognition systems Sensor networks, Body Area Network Classification accuracy congruent transformation Entropy weight method Feature selection methods Hierarchical fusions Human activity recognition Wearable systems, Wearable sensors
ISSN号	21682291
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3220667
专题	大连理工大学
作者单位	1.School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China |School of Automation and Electrical Engineering, Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong, Linyi University, Linyi, Shandong, 276005, China 2.School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China 3.Intensive Care Unit, Dalian Municipal Central Hospital, Dalian Medical University, Dalian, 116024, China 4.Department of Stomatology, Jiaxiang People's Hospital, Jining, 272400, China
推荐引用方式 GB/T 7714	Guo, Ming,Wang, Zhelong,Yang, Ning,et al. A multisensor multiclassifier hierarchical fusion model based on entropy weight for human activity recognition using wearable inertial sensors[J]. IEEE Transactions on Human-Machine Systems,2019,49:105-111.
APA	Guo, Ming,Wang, Zhelong,Yang, Ning,Li, Zhenglin,&An, Tiantian.(2019).A multisensor multiclassifier hierarchical fusion model based on entropy weight for human activity recognition using wearable inertial sensors.IEEE Transactions on Human-Machine Systems,49,105-111.
MLA	Guo, Ming,et al."A multisensor multiclassifier hierarchical fusion model based on entropy weight for human activity recognition using wearable inertial sensors".IEEE Transactions on Human-Machine Systems 49(2019):105-111.

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