Naoya Ueda
Papers
4
Total Citations
19
H-Index
3
About
Naoya Ueda is a pioneering researcher in the field of brain–machine interfaces (BMIs) for human power augmentation, with a specific focus on upper-limb assistance systems. His work uniquely bridges the gap between assistive technology for disabled individuals and performance enhancement for healthy users. Ueda’s core contributions lie in developing methods to estimate electromyography (EMG) signals from electroencephalography (EEG) data, enabling the intuitive control of multi-degree-of-freedom shoulder joints for exoskeleton robots. His most cited work (2020, 10 citations) established a framework for EEG-based EMG estimation to power upper-limb augmentation, addressing a critical challenge in complex joint control. Ueda further advanced the field through neurofeedback training (2021, 2 citations), exploring how users can intentionally modulate their brain activity to improve BMI performance. With a cumulative citation count of 19 across his key publications, Ueda’s research is foundational for the next generation of wearable robotic systems that seamlessly integrate with human neural signals. His work promises to transform rehabilitation and human augmentation, making him a notable figure in the intersection of neuroscience and robotics.
Research Focus
Key Achievements
Top Papers
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