Yubo Li
Papers
1
Total Citations
31
H-Index
1
About
Yubo Li is a leading researcher in affective computing and biomedical signal processing, with a focus on developing accessible, low-cost technologies for emotion recognition. Their most cited work, "Emotion Recognition Based on Skin Potential Signals with a Portable Wireless Device" (2021, 31 citations), introduces a novel approach that leverages skin potential (SP) signals—a less explored but promising physiological marker—using a compact, wireless device. This breakthrough challenges the field's reliance on bulky, expensive equipment, offering a practical pathway for real-world applications in artificial intelligence, robotics, and mental health monitoring. By demonstrating that accurate emotion classification is achievable with portable hardware, Li's research bridges the gap between laboratory-grade sensing and everyday usability. Their contributions extend to advancing human-computer interaction and personalized healthcare, where cost-effective emotion sensing can transform patient care and adaptive systems. With growing citation impact, Li's work is shaping a future where emotional intelligence in machines is both accessible and scalable, making them a pivotal figure in democratizing affective technology for researchers and practitioners alike.
Research Focus
Key Achievements
Top Papers
- 1