Human hand grasping experiments: raw grasping data

dc.contributor.author	Heinemann, Fabian
dc.contributor.author	Puhlmann, Steffen
dc.contributor.author	Eppner, Clemens
dc.contributor.author	Álvarez-Ruiz, José
dc.contributor.author	Meartens, Marianne
dc.contributor.author	Brock, Oliver
dc.date.accessioned	2019-07-26T10:04:16Z
dc.date.available	2019-07-26T10:04:16Z
dc.date.issued	2019-05
dc.description.abstract	This dataset contains grasping data from human grasping experiments. The sensors used are: FT-Sensor (for contact forces), Touchpad (contact traces), MoCap-System (Hand position and orientation), Cyberglove (finger postures).	en
dc.description.sponsorship	EC/H2020/645599/EU/Soft-bodied intelligence for Manipulation/SOMA	en
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/9552
dc.identifier.uri	http://dx.doi.org/10.14279/depositonce-8602
dc.language.iso	en	en
dc.relation.isreferencedby	https://doi.org/10.1109/ICRA.2015.7139790
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/	en
dc.subject.ddc	620 Ingenieurwissenschaften und zugeordnete Tätigkeiten	de
dc.subject.other	Grasping	en
dc.subject.other	Human studies	en
dc.title	Human hand grasping experiments: raw grasping data	en
dc.type	Textual Data	en
tub.accessrights.dnb	free	*
tub.affiliation	Fak. 4 Elektrotechnik und Informatik::Inst. Technische Informatik und Mikroelektronik::FG Robotics	de
tub.affiliation.faculty	Fak. 4 Elektrotechnik und Informatik	de
tub.affiliation.group	FG Robotics	de
tub.affiliation.institute	Inst. Technische Informatik und Mikroelektronik	de

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Name:: sensor_data.zip
Size:: 204.5 MB
Format:: ZIP archive format.
Description:: Grasping data from Motion Capture System, Force Torque Sensor, and Cyberglove

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