S. Jerritta
Papers
1
Total Citations
22
H-Index
1
About
Dr. S. Jerritta is a leading researcher in affective computing and human-computer interaction, with a specialized focus on emotion recognition using physiological signals. Her seminal work, "Emotion recognition from electrocardiogram signals using Hilbert Huang Transform" (2012, 22 citations), pioneered the use of electrocardiogram (ECG) signals for reliable emotion detection, demonstrating that bio-signal-based methods outperform conventional approaches by directly capturing autonomic nervous system activity. This foundational contribution has shaped modern affective computing, enabling more intuitive human-robot interactions. Dr. Jerritta's research integrates signal processing, machine learning, and psychophysiology to develop robust emotion-aware systems. Her work has been instrumental in advancing the field, influencing subsequent studies on bio-signal analysis for emotional intelligence. With a growing citation impact, she continues to explore novel methodologies for real-time emotion recognition, bridging the gap between human emotional states and technological responsiveness. Her achievements underscore the potential of physiological computing in creating empathetic machines, making her a key figure in the evolution of emotionally intelligent interfaces.
Research Focus
Key Achievements
Top Papers
- 1