Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/579041
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dc.contributor.authorN. F. Elya Saidon (UPM)
dc.contributor.authorChikamune Wada
dc.contributor.authorSiti A. Ahmad (UPM)
dc.contributor.authorRibhan Zafira Abdul Rahman (UPM)
dc.contributor.authorKiyotaka Eguchi
dc.contributor.authorYoshiyuki Tomiyama
dc.contributor.authorFarida Izni Abd Rahman (UPM)
dc.date.accessioned2023-11-06T03:13:16Z-
dc.date.available2023-11-06T03:13:16Z-
dc.date.issued2017-01
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:116412
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/579041-
dc.descriptionBiologically inspired robotic hands have important applications in industry and biomedical robotics. The grasping capacity of robotic hands is crucial for a robotic system. This paper presents an experimental study on the finger force and movements of a human hand during the grasping operation in real-time. It focuses on two topics; measuring grasping force using Flexi-force sensors and analysing human hand action during grasping operation. The findings show that lifting required higher forces compared with grasp force in the static phase.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/current_issues.php?jtype=2
dc.rightsUKM
dc.subjectHand grasping
dc.subjectFlexi-force sensors
dc.subjectMotion capture systems
dc.titleReal-time human motion analysis and grasping force using the optitrack system and flexi-force sensor
dc.typeJournal Article
dc.format.volume25
dc.format.pages69-76
dc.format.issueSpecial Issue
Appears in Collections:Journal Content Pages/ Kandungan Halaman Jurnal

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