Thananya Charoenpattarawut
Papers
1
Total Citations
28
H-Index
1
About
Thananya Charoenpattarawut is a researcher at the forefront of ubiquitous affective computing, specializing in the intersection of physiological signal processing and human emotion recognition. Her work centers on leveraging biosignals—particularly electrocardiogram (ECG) and electrodermal activity (EDA)—to develop systems that can detect and respond to human affective states in real-world, non-invasive settings. Her most cited paper, "Ubiquitous Affective Computing: A Review" (2021, 28 citations), provides a comprehensive synthesis of 27 recent studies from top-tier IEEE and Q1 journals, establishing a critical roadmap for the field. This review not only catalogues state-of-the-art methodologies but also identifies key challenges in deploying affective computing beyond controlled lab environments. Charoenpattarawut’s contributions are significant for advancing wearable health technologies and human-computer interaction, offering a foundation for future innovations in mental health monitoring, adaptive learning systems, and empathetic interfaces. Her work has already garnered attention for its clarity and practical relevance, marking her as a rising voice in affective computing research.
Research Focus
Key Achievements
Top Papers
- 1Ubiquitous Affective Computing: A Review28 citations · 2021