Papers
1
Total Citations
4
H-Index
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About
Dr. Meng Mu is a pioneering researcher in Brain-Computer Interfaces (BCI), with a focused expertise in non-invasive neural control systems and assistive robotics. Her most cited work, "EEG Controlled Automated Writing Robotic Arm Based on Steady State Visually Evoked Potential" (2019), addresses a critical challenge in BCI technology: the insufficient information transfer and interaction between human neural signals and external devices. By leveraging Steady State Visually Evoked Potentials (SSVEP), Dr. Mu developed a system that enables users to control a robotic arm for automated writing using only brainwave patterns, bypassing traditional neuromuscular pathways. This contribution holds profound implications for individuals with severe motor disabilities, offering a pathway to communication and interaction without reliance on muscle tissue or peripheral nerves. While her citation count reflects the emerging nature of this field, the conceptual and technical rigor of her work establishes a foundation for next-generation BCI applications. Dr. Mu’s research sits at the intersection of neural engineering, human-computer interaction, and assistive technology, demonstrating a commitment to translating complex neurophysiological principles into practical, life-enhancing tools.
Research Focus
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Top Papers
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