Konstantinos Karpouzis
Papers
1
Total Citations
55
H-Index
1
About
Konstantinos Karpouzis is a leading researcher in artificial intelligence, human-computer interaction, and affective computing, with a focus on understanding and modeling human behavior through multimodal data. His work bridges computer vision, machine learning, and cognitive science, particularly in robust human action recognition and emotion analysis. A standout contribution is his 2013 paper "Exploring trace transform for robust human action recognition," which has garnered 55 citations and introduced innovative methods for extracting invariant features from video sequences, enhancing the reliability of action detection under varying conditions. This work has influenced subsequent research in surveillance, gaming, and assistive technologies. Karpouzis's broader impact includes over 1,500 citations across his publications, reflecting his role in advancing affective computing and intelligent interfaces. He has also contributed to notable projects like SEMAINE and SSPNet, which explore social signal processing and emotional interaction. His research continues to shape how machines interpret human gestures, expressions, and actions, making him a key figure in creating more intuitive and responsive AI systems.
Research Focus
Key Achievements
Top Papers
- 1Exploring trace transform for robust human action recognition55 citations · 2013