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dc.contributor.authorHu, Jhen-Jiaen_US
dc.contributor.authorLi, Hui-Chiehen_US
dc.contributor.authorWang, Hau-Weien_US
dc.contributor.authorHu, Jwu-Shengen_US
dc.date.accessioned2019-04-02T06:04:22Z-
dc.date.available2019-04-02T06:04:22Z-
dc.date.issued2013-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/150633-
dc.description.abstractWe develop a monitoring system for human-robot collaboration (HRC) of hybrid automation. The system enables the production line to avoid product defects as well as guarantee a real-time warning system in a cellular manufacturing (CM). A task semantic monitoring system includes the three-dimensional (3D) hand posture estimation and the motion trajectory monitoring. The coordinate of hand, the motion of hand, and the semantic of hand are identified by two integrated modules. The verification is executed by applying the system to the assembly lines for power protector.en_US
dc.language.isoen_USen_US
dc.subjectAssemblyen_US
dc.subjectCellular Manufacturing (CM)en_US
dc.subjectHand Postureen_US
dc.subjectHuman-Robot Collaboration (HRC)en_US
dc.subjectTask Semanticen_US
dc.title3D Hand Posture Estimation and Task Semantic Monitoring Technique for Human-Robot Collaborationen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2013 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA)en_US
dc.citation.spage797en_US
dc.citation.epage804en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.department交大工研院聯合研發中心zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.contributor.departmentNCTU/ITRI Joint Research Centeren_US
dc.identifier.wosnumberWOS:000335375900135en_US
dc.citation.woscount2en_US
Appears in Collections:Conferences Paper