Kahil Mustafa Jamal S
Papers
1
Total Citations
15
H-Index
1
About
Kahil Mustafa Jamal S is a researcher at the forefront of affective computing and physiological signal processing, with a focus on enhancing human-computer interaction and educational outcomes. His most-cited work, "Emotions detection scheme using facial skin temperature and heart rate variability" (2019, 15 citations), pioneers a non-invasive approach to recognizing human emotions by fusing thermal imaging with cardiac data. This contribution addresses a critical gap in emotion-aware systems, offering potential applications in adaptive learning environments where real-time emotional feedback can improve student engagement and well-being. By leveraging biometric signals, Kahil’s research demonstrates how technology can move beyond traditional input methods to interpret internal states, paving the way for more empathetic and responsive interfaces. His work underscores a commitment to translating physiological insights into practical tools for education and healthcare, marking him as an emerging voice in the intersection of biosignal analysis and human-centered design.
Research Focus
Key Achievements
Top Papers
- 1