Haoze Kuang
Papers
1
Total Citations
31
H-Index
1
About
Haoze Kuang is a leading researcher in affective computing and biomedical signal processing, with a focus on developing accessible, low-cost emotion recognition technologies. His 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 simpler and more affordable alternative to traditional methods requiring complex equipment. By demonstrating that SP signals can effectively classify emotional states using a portable wireless device, Kuang has opened new pathways for integrating emotion sensing into artificial intelligence, robotics, and clinical medicine. This contribution addresses a critical barrier in the field: the reliance on expensive, non-portable hardware. Kuang’s work is notable for its practical impact, offering a scalable solution for real-world applications such as human-computer interaction and mental health monitoring. His research bridges the gap between laboratory-grade accuracy and everyday usability, making emotion recognition more accessible. With growing citations, Kuang continues to shape the future of affective computing, emphasizing simplicity and portability without compromising performance.
Research Focus
Key Achievements
Top Papers
- 1