Shoji Makino
Papers
10
Total Citations
56
H-Index
5
About
Shoji Makino is a researcher whose work spans two compelling and socially impactful domains: brain-computer interfaces (BCIs) and intelligent audio processing for rescue robotics. His contributions to tactile BCI systems, explored across multiple studies beginning in 2013, investigate how tactile stimuli delivered to the fingertips and chest can enable multi-command control of robotic vehicles — offering promising pathways for assistive and rehabilitative technology for individuals with motor impairments. These feasibility studies collectively demonstrate that non-invasive, tactile-evoked BCI platforms are viable for real-world navigation tasks. Makino has also made significant strides in the acoustic engineering of hose-shaped rescue robots — compact systems designed to locate disaster survivors in rubble-filled environments. His work addresses the critical challenge of ego noise generated by the robot's own vibration motors, employing advanced techniques such as Independent Vector Analysis, Independent Low-Rank Matrix Analysis, and Nonnegative Matrix Factorization to cleanly isolate human voices. A 2017 paper on a two-stage voice enhancement system stands among his most-cited contributions, garnering 13 citations. Through this body of work, Makino has meaningfully advanced both human-machine interaction and life-saving robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Multi-command Tactile Brain Computer Interface: A Feasibility Study13 citations · 2013
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- 8Multi-command Tactile Brain Computer Interface: A Feasibility Study3 citations · 2013
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