Xinhua Chen
Papers
1
Total Citations
31
H-Index
1
About
Xinhua Chen is a leading researcher at the intersection of affective computing, biomedical signal processing, and wearable technology. Their most impactful work focuses on developing accessible, non-invasive methods for emotion recognition using physiological signals. Chen’s pioneering 2021 study, “Emotion Recognition Based on Skin Potential Signals with a Portable Wireless Device,” has garnered 31 citations and represents a significant breakthrough by demonstrating that skin potential (SP)—a less explored but highly informative biosignal—can be reliably captured with a simple, low-cost wearable device. This innovation challenges the field’s reliance on bulky, expensive equipment, opening doors for real-world applications in artificial intelligence, robotics, and mental health monitoring. By validating SP as a robust biomarker for emotional states, Chen has laid crucial groundwork for portable, user-friendly emotion-sensing systems. Their work bridges engineering and psychology, offering a scalable solution for human-computer interaction and clinical diagnostics. With a clear trajectory toward democratizing emotion recognition technology, Xinhua Chen continues to shape how we integrate physiological sensing into everyday life, making affective computing more practical and inclusive.
Research Focus
Key Achievements
Top Papers
- 1