Soravitt Sangnark

Vidyasirimedhi Institute of Science and Technology

Papers

Total Citations

H-Index

About

Soravitt Sangnark is a rising researcher in the field of affective computing and physiological signal processing. His work primarily focuses on the intersection of human emotion recognition and ubiquitous health monitoring, with a particular emphasis on using electrocardiogram (ECG) and electrodermal activity (EDA) signals. His most influential work, the 2021 review "Ubiquitous Affective Computing: A Review," has garnered 28 citations, establishing a foundational understanding of how wearable sensors can decode emotional states. In this comprehensive review, Sangnark systematically analyzed 27 high-impact research papers—23 from IEEE Journals and 4 from other Q1 publications—to synthesize the state of the art in ECG and EDA-based affect detection. His contribution lies in critically evaluating methodologies, identifying key challenges in real-world deployment, and outlining future directions for non-invasive emotion sensing. This work serves as an essential resource for students and researchers entering the domain of affective computing, bridging the gap between raw physiological data and meaningful emotional interpretation. Sangnark’s research promises to advance personalized healthcare and human-computer interaction, making him a notable voice in this rapidly evolving field.