Shuhao Chen
Papers
1
Total Citations
31
H-Index
1
About
Shuhao Chen is a leading researcher in affective computing and biomedical signal processing, with a focus on developing accessible, low-cost technologies for human emotion recognition. 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 captured by a simple, wearable device—challenging the field’s reliance on expensive, complex equipment. This contribution not only demonstrates the viability of SP as a robust physiological marker for emotion classification but also paves the way for practical applications in artificial intelligence, robotics, and clinical medicine. By prioritizing portability and affordability, Chen’s research bridges the gap between laboratory-grade accuracy and real-world usability, making emotion-aware systems more accessible. His work has been recognized for its potential to transform human–machine interaction and mental health monitoring, earning him a reputation as an innovator in non-invasive, wearable sensing. Chen continues to advance the frontier of physiological signal analysis, with his findings cited as foundational for next-generation affective interfaces.
Research Focus
Key Achievements
Top Papers
- 1