Papers
4
Total Citations
113
H-Index
3
About
Sihan Li is a researcher at the forefront of affective computing and human-robot interaction, specializing in emotion recognition and intelligent service robotics. Their work bridges the gap between human physiological signals and machine understanding, with a particular focus on developing systems that can proactively respond to human needs. Li’s most impactful contribution, with 80 citations, is a pioneering method for electroencephalogram (EEG) emotion recognition that combines empirical mode decomposition with optimal feature selection, enabling more nuanced interpretation of emotional states from brain signals. They have also advanced facial expression recognition by fusing 2D Gabor filters with Local Binary Patterns and leveraging extreme learning machines for improved accuracy and efficiency. Beyond emotion sensing, Li has innovated in proactive robotics, designing context-aware drinking service robots that use fuzzy analytical hierarchy processes to infer user intentions and even assess sleepiness levels to optimize service timing. This work demonstrates a unique ability to translate complex affective computing techniques into practical, human-centered robotic applications, making Li a notable contributor to the next generation of empathetic and anticipatory intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4