Papers
2
Total Citations
26
H-Index
2
About
Li Ke is a researcher at the forefront of flexible sensing technologies and intelligent human-computer interaction. His most influential work, a comprehensive 2025 review on flexible acceleration sensors, has already garnered 22 citations, establishing him as a key voice in this rapidly evolving field. This review systematically explores how flexible sensors achieve multidimensional spatial freedom, enabling accurate acceleration monitoring even under deformation—a critical breakthrough for wearable electronics, soft robotics, and health monitoring. Earlier, Li contributed to the field of computer vision with his 2018 study on single-sample face recognition using wavelet image fusion, which addressed a fundamental challenge in robotics and human-computer interaction: recognizing faces with limited training data. By improving recognition under constrained conditions, this work laid groundwork for more adaptive and secure robotic systems. Li’s research trajectory—from face recognition to advanced flexible sensors—reflects a commitment to bridging hardware innovation with real-world AI applications. His work continues to inspire new approaches in sensing and interaction technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2