Ya-Jing Guan

Papers

Total Citations

H-Index

About

Ya-Jing Guan is a leading researcher in affective computing and physiological signal processing, with a focus on developing robust, real-time emotion recognition systems. Her work centers on the premise that physiological signals—such as heart rate, skin conductance, and electroencephalography—offer the most authentic and involuntary indicators of human emotional states. In her highly cited 2019 study, "Real-time emotion recognition system with multiple physiological signals" (23 citations), Guan pioneered a framework that integrates multimodal biosignals for instantaneous emotion classification, moving beyond traditional self-report methods. Her 2018 paper, "Two-Dimensional Emotion Evaluation with Multiple Physiological Signals" (19 citations), further advanced the field by mapping emotional states onto a two-dimensional valence-arousal model, demonstrating how multiple physiological channels can be fused to capture the nuanced complexity of human affect. These contributions have established Guan as a key figure in bridging biosignal analysis with practical, real-world applications, from mental health monitoring to human-computer interaction. Her work has been instrumental in demonstrating that emotion recognition can be both accurate and ecologically valid, laying the groundwork for next-generation affective technologies.