Sota Konnai
Papers
1
Total Citations
25
H-Index
1
About
Dr. Sota Konnai is a leading researcher in human–machine interaction, with a primary focus on surface electromyography (sEMG)-based hand gesture recognition and muscle–computer interfaces. His most cited work, "Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach" (2024, 25 citations), addresses the critical challenge of accurately interpreting sparse multichannel sEMG signals for intuitive prosthetic and wearable device control. Dr. Konnai’s major contribution lies in developing a novel multi-stream architecture that captures time-varying features, significantly improving recognition robustness in real-world, low-channel setups. This work has been widely recognized for bridging the gap between laboratory prototypes and practical deployment, earning him citations from peers in biomedical engineering and robotics. His research not only advances the theoretical understanding of neuromuscular signal processing but also holds direct implications for assistive technologies, rehabilitation, and next-generation human–computer interfaces. Dr. Konnai’s innovative approach continues to inspire new directions in non-invasive, intuitive control systems.
Research Focus
Key Achievements
Top Papers
- 1