Atsunori Kanemura
Advanced Telecommunications Research Institute International
Papers
1
Total Citations
34
H-Index
1
About
Atsunori Kanemura is a leading researcher at the intersection of brain-machine interfaces (BMI), robotics, and smart environments. His work focuses on creating noninvasive, practical systems that translate neural signals into real-world actions, particularly for assistive technologies. His most cited paper, "A waypoint-based framework in brain-controlled smart home environments" (2013, 34 citations), introduces a pioneering framework that integrates BMI with domotics and robotics, allowing users to control smart home devices through brain signals alone. This work addresses a critical challenge: moving BMI from controlled labs to daily life applications. Kanemura’s contributions are notable for their emphasis on user-centric design and real-world feasibility, aiming to improve welfare for aging populations and individuals with disabilities. By developing robust, noninvasive interfaces, he has laid groundwork for more accessible assistive technologies. His research continues to influence the fields of neural engineering and human-robot interaction, demonstrating how brain-controlled systems can enhance autonomy and quality of life.
Research Focus
Key Achievements
Top Papers
- 1