T
Tianyou Yu
Researcher at South China University of Technology
Publications - 61
Citations - 1817
Tianyou Yu is an academic researcher from South China University of Technology. The author has contributed to research in topics: Brain–computer interface & Computer science. The author has an hindex of 16, co-authored 49 publications receiving 1392 citations.
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An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential
TL;DR: This work proposes a new approach by combining two brain signals including Mu/Beta rhythm during motor imagery and P300 potential to address two-dimensional cursor control in EEG-based brain-computer interfaces.
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A Hybrid Brain Computer Interface to Control the Direction and Speed of a Simulated or Real Wheelchair
TL;DR: A hybrid BCI that uses the motor imagery-based mu rhythm and the P300 potential to control a brain-actuated simulated or real wheelchair is introduced to provide a greater number of commands with increased accuracy to the BCI user.
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Control of a Wheelchair in an Indoor Environment Based on a Brain–Computer Interface and Automated Navigation
TL;DR: A brain-controlled intelligent wheelchair with the capability of automatic navigation and the mental burden of the user can be substantially alleviated.
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Target Selection With Hybrid Feature for BCI-Based 2-D Cursor Control
TL;DR: The proposed hybrid feature is shown to be more effective than the use of either the motor imagery feature or the P300 feature alone in an EEG-based brain-computer interface system.
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Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback
TL;DR: A hybrid BCI paradigm combining motor imagery and steady-state visually evoked potentials (SSVEPs) has been proposed to provide effective continuous feedback for motor imagery training and can effectively identify the intentions of the subjects.