Linwei Niu
Papers
6
Total Citations
146
H-Index
5
About
Linwei Niu is a leading researcher in the field of noninvasive brain–robot interaction (BRI) systems, with a particular focus on using electroencephalogram (EEG)-based brain–computer interfaces (BCIs) to assist elderly and disabled patients. Their most cited work, “Progress in EEG-Based Brain Robot Interaction Systems” (2017, 73 citations), provides a comprehensive overview of how brainwave-driven robot control can serve as an additional communication channel for assistive technologies. Niu has made significant contributions to telepresence control of humanoid robots, developing innovative models that leverage steady-state visual evoked potentials (SSVEP) and event-related potentials (ERP) to enable full-body movement and navigation in cluttered environments. Their 2016 paper on SSVEP-based hierarchical architecture (37 citations) and their ERP-based adaptive model (21 citations) demonstrate how real-time video feedback and adaptive repetition can enhance robot motion control. Beyond BRI, Niu has explored embedded systems, implementing a fuzzy color extractor on NI myRIO devices for real-time image processing. With a total of over 140 citations across their top papers, Niu’s work is highly influential in advancing human–robot interaction, assistive robotics, and embedded intelligence, making them a key figure in the development of accessible, brain-controlled robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Progress in EEG-Based Brain Robot Interaction Systems73 citations · 2017
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- 4Implementation of fuzzy color extractor on NI myRIO embedded device7 citations · 2014
- 5Object Extraction in Cluttered Environments via a P300-Based IFCE5 citations · 2017
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