Noriyoshi Uchida
Papers
1
Total Citations
38
H-Index
1
About
Noriyoshi Uchida is a pioneering figure in the field of biomedical engineering, with a primary focus on electromyography (EMG) pattern recognition and neural network applications for prosthetic control. His seminal 1992 work, "EMG pattern recognition by neural networks for multi fingers control," established a foundational approach for decoding complex finger movements and joint angles from muscle signals. With 38 citations, this paper demonstrated that neural networks could successfully classify not just discrete finger motions but also continuous joint angle variations, a critical advance for developing intuitive, multi-degree-of-freedom prosthetic hands. Uchida’s contributions lie at the intersection of machine learning and rehabilitation robotics, where his early insights into EMG signal processing have influenced subsequent research in human-machine interfaces. His work remains a touchstone for students and researchers exploring non-invasive neural control, highlighting the potential of pattern recognition to restore dexterous hand function. By bridging computational models with real-time simulation, Uchida helped pave the way for modern myoelectric prosthetics that respond seamlessly to user intent.
Research Focus
Key Achievements
Top Papers
- 1EMG pattern recognition by neural networks for multi fingers control38 citations · 1992