Arpita Ray Sarkar
Papers
1
Total Citations
3
H-Index
1
About
Arpita Ray Sarkar is a researcher whose work sits at the intersection of computer vision and human-computer interaction, with a particular focus on gaze estimation and eye-tracking technologies. Her most cited paper, "A hybrid approach for eye-centre localization for estimation of eye-gazes using low-cost web cam" (2015), introduces an innovative method for accurately determining eye position and gaze direction using affordable, accessible hardware. This contribution is significant because it demonstrates that sophisticated gaze estimation—critical for applications ranging from driver fatigue monitoring to assistive robotics and prosthetic control—can be achieved without expensive equipment. By developing a hybrid algorithm that combines image processing techniques, Sarkar’s work helps lower the barrier to entry for practical, real-world implementations of vision-based interfaces. While her citation count is modest, the foundational nature of her research speaks to its relevance in a field where cost-effective solutions are highly valued. Her contributions highlight a commitment to making advanced human-computer interaction technologies more accessible, paving the way for safer driving systems and more intuitive control of assistive devices.
Research Focus
Key Achievements
Top Papers
- 1