Kohnosuke Kanda
Papers
1
Total Citations
6
H-Index
1
About
Kohnosuke Kanda is a pioneering researcher at the intersection of neuroscience and human-robot interaction, with a primary focus on developing brain-computer interfaces (BCIs) for assistive mobility. His key research areas include electroencephalography (EEG) signal processing, deep learning classification, and the design of brain-mobility interfaces (BMIs) that translate neural activity into real-world control commands. Kanda’s most notable contribution is the creation of a BMI that enables users to mentally control a personal mobility robot (PMR) by decoding both brain state and face direction from EEG signals. This work, published in 2021 and cited 6 times, demonstrates a novel application of deep learning techniques to classify neural patterns, offering a non-invasive pathway for individuals with severe motor impairments to regain independent movement. By integrating cognitive intent with robotic actuation, Kanda’s research addresses a critical gap in assistive technology, moving beyond traditional joystick or switch-based controls. His work stands out for its practical emphasis on real-time, user-friendly interfaces, positioning him as an innovator in neuroprosthetics and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1