Guangxu Liu

Guangdong University of Technology

Papers

1

Total Citations

23

H-Index

1

About

Guangxu Liu is a leading innovator in the field of soft electronics and intelligent sensing systems, with a particular focus on developing next-generation electronic skin (e-skin). His most-cited work, "Smart electronic skin having gesture recognition function by LSTM neural network" (2018, 23 citations), addresses critical challenges in the field by integrating deep learning with flexible sensors. Liu’s key contribution lies in overcoming the traditional limitations of e-skin—such as high fabrication complexity and production costs—by creating a low-cost, intelligent platform capable of automatically recognizing complex stimuli. By employing Long Short-Term Memory (LSTM) neural networks, his design enables real-time gesture recognition, moving beyond simple pressure detection to sophisticated, context-aware interaction. This work has been influential in bridging the gap between soft materials and artificial intelligence, inspiring subsequent research in human-machine interfaces and wearable robotics. Liu’s research continues to push the boundaries of smart materials, aiming to make artificial skin more accessible, autonomous, and functional for applications ranging from prosthetics to soft robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
23
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Smart electronic skin having gesture recognition function by LSTM neural network
23 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Guangdong University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago