Xuehan Sun
Papers
1
Total Citations
22
H-Index
1
About
Xuehan Sun is a leading researcher at the intersection of affective computing and human–computer interaction, with a primary focus on emotion recognition from human motion. Their most impactful work introduces an innovative attention-based sensor fusion framework that combines convolutional neural networks with weighted kernel support vector machines to analyze inertial measurement unit (IMU) signals. This approach, detailed in their highly cited 2023 paper (22 citations), enables machines to accurately interpret emotional states from natural human movements—a breakthrough with direct applications in medical rehabilitation, where understanding a patient’s emotional engagement can significantly enhance therapeutic outcomes. By integrating deep learning with advanced sensor fusion, Sun has addressed the critical challenge of making emotion recognition robust and practical for real-world scenarios. Their work not only advances the technical capabilities of human–computer interaction systems but also opens new pathways for empathetic technology in healthcare, demonstrating how machine perception of human motion can bridge the gap between physical expression and emotional understanding.
Research Focus
Key Achievements
Top Papers
- 1