Funabashi Shinntarou

Beijing Institute of Technology

Papers

1

Total Citations

15

H-Index

1

About

Dr. Shinntarou Funabashi is a pioneering researcher at the intersection of brain-machine interfaces (BMIs), augmented reality (AR), and machine vision. His most influential work introduces a novel dynamic AR visual stimulation (AR-VS) paradigm that fuses machine vision with steady-state visual evoked potentials (SSVEPs). In a landmark 2021 study (15 citations), Funabashi demonstrated that this hybrid approach enables brain-controlled robots to perform complex tasks—such as self-moving and object grabbing—64% faster than traditional SSVEP methods. This breakthrough significantly enhances the speed and intuitiveness of non-invasive BMIs, opening new possibilities for assistive robotics and real-world neuroprosthetics. By optimizing AR-VS for dynamic environments, his research bridges the gap between virtual cues and physical action, offering a scalable framework for future neuroergonomic systems. Funabashi’s work is shaping the next generation of human-machine collaboration, where augmented reality and neural decoding converge to restore and augment motor function.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Machine-vision fused brain machine interface based on dynamic augmented reality visual stimulation
15 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago