Real-time Control for an Upper-limb Exoskeleton Robot using ANFIS

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Jiang, Shao-Fu	en_US
dc.contributor.author	Young, Kuu-Young	en_US
dc.contributor.author	Ko, Chun-Hsu	en_US
dc.date.accessioned	2019-04-02T06:04:40Z	-
dc.date.available	2019-04-02T06:04:40Z	-
dc.date.issued	2017-01-01	en_US
dc.identifier.issn	2374-3255	en_US
dc.identifier.uri	http://hdl.handle.net/11536/150949	-
dc.description.abstract	In this paper, we propose a control system based on the Electromyography (EMG) to govern a two-DOF upper-limb exoskeleton robot developed in our laboratory, named as HAMEXO. Achieving real-time control is the main concern for the proposed system. In addition, the adaptive neural fuzzy inference system (ANFIS) is adopted for tackling the coupling present between joints during motion, and also providing the adaptability for various users. Experiments are conducted to verify its feasibility.	en_US
dc.language.iso	en_US	en_US
dc.subject	Upper-limb exoskeleton	en_US
dc.subject	Real-time control	en_US
dc.subject	ANFIS	en_US
dc.title	Real-time Control for an Upper-limb Exoskeleton Robot using ANFIS	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	2017 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND INTELLIGENT SYSTEMS (ARIS)	en_US
dc.citation.spage	25	en_US
dc.citation.epage	25	en_US
dc.contributor.department	電子工程學系及電子研究所	zh_TW
dc.contributor.department	Department of Electronics Engineering and Institute of Electronics	en_US
dc.identifier.wosnumber	WOS:000455110300007	en_US
dc.citation.woscount	0	en_US
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