The control of a high Degree of Freedom (DoF) robot to grasp a target in three-dimensional space using Brain-Computer Interface (BCI) remains a very difficult problem to solve. Design of synchronous BCI requires the user perform the brain activity task all the time according to the predefined paradigm; such a process is boring and fatiguing. Furthermore, the strategy of switching between robotic auto-control and BCI control is not very reliable because the accuracy of Motor Imagery (MI) pattern recognition rarely reaches 100
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Open Access
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Tsinghua Science and Technology 2019, 24 (3): 360-370
Published: 24 January 2019
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