Papers
2
Total Citations
23
H-Index
2
About
Dr. Junze Li is a rising researcher at the forefront of flexible electronics and brain-machine interfaces, whose work bridges soft materials science with neural engineering. His primary research areas encompass flexible pressure sensors for wearable health monitoring and robotic perception, as well as EEG signal processing for collaborative exoskeleton control. Dr. Li’s most impactful contribution is his comprehensive tutorial on characterization methods for flexible pressure sensors, which has garnered 20 citations since its 2023 publication. This work systematically addresses the fundamental parameters and applications of these sensors, providing an essential resource for researchers developing next-generation wearable devices. In parallel, his innovative study on motor imagery EEG feature extraction using power spectral density analysis demonstrates a practical approach to integrating brain signals with exoskeleton robots for gait correction and walking assistance. This work, though early in its citation life, represents a significant step toward intuitive human-robot collaboration. Dr. Li’s dual focus on sensor characterization and neural signal processing positions him as a versatile contributor to both the hardware and software aspects of intelligent wearable systems, with his tutorial already serving as a key reference in the rapidly expanding field of flexible pressure sensors.
Research Focus
Key Achievements
Top Papers
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