Jyun-Rong Zhuang

Waseda University, National Chung Hsing University

Papers

Total Citations

H-Index

About

Jyun-Rong Zhuang is a researcher at the forefront of affective computing and assistive robotics, whose work bridges the gap between human physiology and machine intelligence. His primary research areas include emotion recognition using physiological signals and the development of wearable robotic systems for gait assistance. Zhuang’s most significant contribution lies in creating real-time emotion recognition systems that leverage multiple physiological signals—such as heart rate, skin conductance, and brain activity—to objectively decode human emotional states. His 2019 paper on this topic, which has garnered 23 citations, demonstrates that physiological signals, being involuntary and strongly correlated with emotions, offer a more authentic method for emotion evaluation than traditional facial or vocal cues. Building on this, his 2018 work on two-dimensional emotion evaluation further refined the accuracy of these systems. In a notable pivot to rehabilitation engineering, Zhuang’s 2023 paper on an ankle assistive robot, with 11 citations, introduces an instantly gait-adaptive method designed to promote physical exercise and prevent stroke in aging populations. This dual focus on decoding human emotion and enhancing physical mobility showcases Zhuang’s commitment to developing technologies that improve both mental and physical well-being.