Papers
2
Total Citations
7
H-Index
2
About
Fangyi Chen is a researcher specializing in human-machine interfaces, wearable robotics, and advanced optical sensing technologies. Their work bridges the gap between intuitive human control and robotic systems, with a particular focus on enhancing maneuverability and material classification. Chen’s notable contribution includes the development of a novel human-machine interface that interprets eye saccades and facial expressions using only two electrodes placed on the ears, enabling seamless control of wearable robots. This approach, detailed in their 2017 paper, has garnered 4 citations for its innovative use of physiological signals to improve user interaction with assistive devices. In 2023, Chen extended their expertise to optical sensing, proposing a method for classifying highly transparent materials by leveraging refractive index, reflectivity, and transmissivity features from time-of-flight camera imaging models. This work, with 3 citations, demonstrates Chen’s versatility in applying imaging principles to real-world challenges. Their research holds promise for advancing assistive robotics and autonomous systems, making significant strides in both biomedical engineering and computer vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2