Haoji Hu
Papers
1
Total Citations
31
H-Index
1
About
Haoji Hu is a leading researcher in affective computing and biomedical signal processing, with a focus on developing accessible, low-cost technologies for emotion recognition. His most-cited work, "Emotion Recognition Based on Skin Potential Signals with a Portable Wireless Device" (2021, 31 citations), addresses a critical challenge in the field: the reliance on complex, expensive equipment for emotion detection. Hu demonstrated that skin potential (SP) signals, captured via a simple, portable wireless device, can reliably classify emotional states, paving the way for practical applications in artificial intelligence, robotics, and medicine. This contribution not only advances the understanding of physiological markers of emotion but also democratizes the technology, making it feasible for real-world, non-laboratory settings. Hu’s research bridges the gap between sophisticated signal processing and user-friendly design, offering a scalable solution for human-computer interaction and mental health monitoring. His work is widely cited for its innovation in simplifying emotion recognition systems, and he continues to explore the intersection of wearable technology and physiological computing, with an eye toward integrating these tools into everyday life.
Research Focus
Key Achievements
Top Papers
- 1