Noboru Sonehara
Papers
1
Total Citations
38
H-Index
1
About
Noboru Sonehara is a pioneering figure in biomedical engineering and human-machine interfaces, best known for his foundational work in electromyography (EMG) pattern recognition. His most cited paper, "EMG pattern recognition by neural networks for multi fingers control" (1992, 38 citations), introduced a groundbreaking approach to decoding finger movements and joint angles from EMG signals using neural networks. This early work demonstrated that continuous, multi-finger control could be achieved through pattern classification, laying the groundwork for advanced prosthetic and robotic hand systems. Sonehara’s contributions extend to signal processing and neural network applications, where he has explored how biological signals can be translated into precise machine commands. His research has had lasting impact on rehabilitation engineering and assistive technology, influencing subsequent developments in myoelectric control. While his citation count reflects a focused but influential body of work, his 1992 study remains a seminal reference for researchers developing intuitive, dexterous prosthetic interfaces. Sonehara’s legacy is one of bridging neural computation and practical human-machine interaction, inspiring new generations of engineers to harness biological signals for restoring motor function.
Research Focus
Key Achievements
Top Papers
- 1EMG pattern recognition by neural networks for multi fingers control38 citations · 1992