HEAL DSpace

EMG-Based Control of a Robot Arm Using Low-Dimensional Embeddings

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dc.contributor.author Artemiadis, PK en
dc.contributor.author Kyriakopoulos, KJ en
dc.date.accessioned 2014-03-01T01:33:21Z
dc.date.available 2014-03-01T01:33:21Z
dc.date.issued 2010 en
dc.identifier.issn 1552-3098 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20393
dc.subject Dimensionality reduction en
dc.subject electromyographic (EMG)-based control en
dc.subject EMG signals en
dc.subject neurorobotics en
dc.subject.classification Robotics en
dc.subject.other MUSCLE en
dc.subject.other SIGNALS en
dc.title EMG-Based Control of a Robot Arm Using Low-Dimensional Embeddings en
heal.type journalArticle en
heal.identifier.primary 10.1109/TRO.2009.2039378 en
heal.identifier.secondary http://dx.doi.org/10.1109/TRO.2009.2039378 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract As robots come closer to humans, an efficient human-robot-control interface is an utmost necessity. In this paper, electromyographic (EMG) signals from muscles of the human upper limb are used as the control interface between the user and a robot arm. A mathematical model is trained to decode upper limb motion from EMG recordings, using a dimensionality-reduction technique that represents muscle synergies and motion primitives. It is shown that a 2-D embedding of muscle activations can be decoded to a continuous profile of arm motion representation in the 3-D Cartesian space, embedded in a 2-D space. The system is used for the continuous control of a robot arm, using only EMG signals from the upper limb. The accuracy of the method is assessed through real-time experiments, including random arm motions. en
heal.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC en
heal.journalName IEEE TRANSACTIONS ON ROBOTICS en
dc.identifier.doi 10.1109/TRO.2009.2039378 en
dc.identifier.isi ISI:000276272500016 en
dc.identifier.volume 26 en
dc.identifier.issue 2 en
dc.identifier.spage 393 en
dc.identifier.epage 398 en


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