DocumentCode :
681511
Title :
A study of the relationship between brain states and skill level of teleoperator
Author :
Li, Yuhua ; Liu, Siyuan ; Xi, Ning ; Zhang, Xiaobing
Author_Institution :
Dept. of Mech. Eng., Xi´an Jiaotoong Univ., Xi´an, China
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
390
Lastpage :
395
Abstract :
The 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.
Keywords :
electroencephalography; probability; statistics; telerobotics; CDF; EEG; KCCA method; SoT; brain-based method; cumulative probability function; electroencephalo-graph; kernel canonical correlation analysis; skill assessment; teleoperator brain states; teleoperator skill level; telerobotic operation; Brain models; Correlation; Electroencephalography; Teleoperators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ROBIO.2013.6739490
Filename :
6739490
Link To Document :
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