Tingwen Han
Papers
1
Total Citations
6
H-Index
1
About
Tingwen Han is a researcher at the forefront of intelligent robotics and human-computer interaction, with a specialized focus on the real-time control of intelligent prosthetic hands. In their seminal 2022 work, "Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN," Han introduced a novel application of an improved Temporal Convolutional Network (TCN) to decode surface electromyography (sEMG) signals for precise, low-latency prosthetic control. This contribution addresses a critical bottleneck in assistive robotics—enabling prosthetic hands to remotely replace human function in complex tasks and facilitate rehabilitation training. With 6 citations, this paper has already influenced subsequent research in neural signal processing and bionic limb design. Han’s work bridges the gap between advanced deep learning architectures and practical, real-world assistive devices, demonstrating how improved TCN models can enhance the accuracy and responsiveness of prosthetic systems. By advancing human-computer interaction technology, Han is helping to restore dexterity and independence to individuals with limb loss, marking a significant step toward more intuitive and capable intelligent prosthetics.
Research Focus
Key Achievements
Top Papers
- 1