Thapanun Sudhawiyangkul
Papers
1
Total Citations
28
H-Index
1
About
Thapanun Sudhawiyangkul is a researcher at the forefront of ubiquitous and affective computing, with a particular focus on leveraging physiological signals to understand human emotion and cognitive states. His major contribution lies in synthesizing and advancing the field of affective computing through comprehensive reviews and novel methodologies. In his highly cited work, "Ubiquitous Affective Computing: A Review" (2021, 28 citations), he systematically analyzed 27 recent research papers, predominantly from top IEEE journals, to summarize the state-of-the-art in using electrocardiogram (ECG) and electrodermal activity (EDA) for emotion recognition. This review not only maps the current landscape but also identifies critical challenges and future directions, serving as a key resource for researchers entering this interdisciplinary domain. His work has significantly impacted how wearable and ubiquitous systems can be designed to interpret human affect, bridging the gap between raw biosignal data and meaningful emotional context. Sudhawiyangkul's research continues to push the boundaries of how machines can sense and respond to human feelings, making him a notable voice in the evolution of context-aware and emotionally intelligent technology.
Research Focus
Key Achievements
Top Papers
- 1Ubiquitous Affective Computing: A Review28 citations · 2021