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Conference Paper: A study of the relationship between brain states and skill level of teleoperator

TitleA study of the relationship between brain states and skill level of teleoperator
Authors
Issue Date2013
Citation
2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, 2013, p. 390-395 How to Cite?
AbstractThe skill level of teleoperator plays a key role in the telerobotic operation. However, plenty of experiments are required to evaluate the skill level in a conventional assessment. In this paper, a novel brain-based method of skill assessment is introduced, and the relationship between the teleoperator's brain states and skill level is first investigated based on a kernel canonical correlation analysis (KCCA) method. The skill of teleoperator (SoT) is defined by a statistic method using the cumulative probability function (CDF). Five indicators are extracted from the electroencephalo-graph (EEG) of the teleoperator to represent the brain states during the telerobotic operation. By using the KCCA algorithm in modeling the relationship between the SoT and the brain states, the correlation has been proved. During the telerobotic operation, the skill level of teleoperator can be well predicted through the brain states. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213401

 

DC FieldValueLanguage
dc.contributor.authorLi, Y.-
dc.contributor.authorLiu, S.-
dc.contributor.authorXi, N.-
dc.contributor.authorZhang, X.-
dc.date.accessioned2015-07-28T04:07:10Z-
dc.date.available2015-07-28T04:07:10Z-
dc.date.issued2013-
dc.identifier.citation2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, 2013, p. 390-395-
dc.identifier.urihttp://hdl.handle.net/10722/213401-
dc.description.abstractThe skill level of teleoperator plays a key role in the telerobotic operation. However, plenty of experiments are required to evaluate the skill level in a conventional assessment. In this paper, a novel brain-based method of skill assessment is introduced, and the relationship between the teleoperator's brain states and skill level is first investigated based on a kernel canonical correlation analysis (KCCA) method. The skill of teleoperator (SoT) is defined by a statistic method using the cumulative probability function (CDF). Five indicators are extracted from the electroencephalo-graph (EEG) of the teleoperator to represent the brain states during the telerobotic operation. By using the KCCA algorithm in modeling the relationship between the SoT and the brain states, the correlation has been proved. During the telerobotic operation, the skill level of teleoperator can be well predicted through the brain states. © 2013 IEEE.-
dc.languageeng-
dc.relation.ispartof2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013-
dc.titleA study of the relationship between brain states and skill level of teleoperator-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ROBIO.2013.6739490-
dc.identifier.scopuseid_2-s2.0-84898818198-
dc.identifier.spage390-
dc.identifier.epage395-

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