Hiroshi Higashi

Tokyo University of Agriculture and Technology, The University of Osaka

Papers

Total Citations

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About

Hiroshi Higashi is a leading researcher at the intersection of brain-computer interfaces (BCI) and graph signal processing. His most cited work, "A simple platform of brain-controlled mobile robot and its implementation by SSVEP" (2012, 31 citations), pioneered a practical BCI system that translates steady-state visual evoked potentials into real-time commands for remote robot control via the internet—a foundational contribution to assistive robotics and non-invasive neural communication. More recently, Higashi has advanced the theory of graph signal processing with "Dynamic Sensor Placement Based on Sampling Theory for Graph Signals" (2024, 2 citations), introducing a novel framework for optimal sensor mobility in networked systems. This work addresses a critical gap in sampling theory by enabling adaptive sensor placement over time, with applications in environmental monitoring and network analysis. His research uniquely bridges signal processing theory and BCI engineering, demonstrating both mathematical rigor and real-world impact. Higashi’s contributions have established him as a key figure in developing intelligent, brain-controlled systems and advancing the mathematical foundations of sensor networks.