Wipamas Polpakdee

Papers

Total Citations

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About

Dr. Wipamas Polpakdee is a leading researcher at the intersection of affective computing and physiological signal processing, with a particular focus on ubiquitous health monitoring. Her most cited work, the 2021 review "Ubiquitous Affective Computing: A Review" (28 citations), provides a comprehensive synthesis of how electrocardiogram (ECG) and electrodermal activity (EDA) signals are harnessed to recognize human emotional states. By systematically analyzing 27 high-impact research papers—predominantly from IEEE Journals and other Q1 publications—Dr. Polpakdee established a critical framework for understanding the challenges and opportunities in deploying affective computing outside controlled laboratory settings. Her contributions have helped bridge the gap between raw biosignal data and meaningful emotional inference, laying essential groundwork for wearable devices that can monitor mental well-being in real time. This work has been influential in guiding subsequent research on non-invasive, continuous emotion recognition systems. Dr. Polpakdee’s scholarship is characterized by its rigorous methodological approach and its clear vision for making affective technology practical, scalable, and truly ubiquitous, positioning her as a key voice in the future of human-computer interaction and personalized healthcare.