Yizhong Chen
Papers
1
Total Citations
7
H-Index
1
About
Yizhong Chen’s research lies at the intersection of affective computing, soft robotics, and tactile sensing, with a focus on how machines can interpret human emotion through physical touch. In their most-cited work, “What is Affective Touch Made Of? A Soft Capacitive Sensor Array Reveals the Interplay between Shear, Normal Stress and Individuality” (2024, 7 citations), Chen introduces a novel soft capacitive sensor array capable of simultaneously measuring shear and normal stress—parameters that human skin mechanoreceptors detect during emotional expression but are absent in conventional touch sensors. This breakthrough demonstrates that greater sensory richness, combined with data on how affect is composed through touch, is essential for machines to accurately estimate emotional states from physical contact. By highlighting the role of individuality in touch expression, Chen’s work opens new pathways for emotionally intelligent robotics, prosthetics, and human-computer interaction. Their contributions challenge existing sensor limitations and provide a foundational framework for future affective touch systems, making Chen a rising voice in the effort to bridge the gap between human emotional experience and machine perception.
Research Focus
Key Achievements
Top Papers
- 1