K. Rajakumari
Papers
1
Total Citations
3
H-Index
1
About
K. Rajakumari’s research centers on assistive technology and human-computer interaction, with a particular focus on developing accessible interfaces for individuals with severe physical impairments. Her most cited work, “Extension of desktop control to robot control by eye blinks using Support Vector Machine (SVM)” (2011, 3 citations), introduces a novel approach that translates eye blink patterns into robotic commands, bridging the gap between disabled users and technology. By applying SVM classification to eye-tracking data, Rajakumari demonstrates how severely impaired individuals can achieve greater independence through intuitive, non-verbal control systems. This contribution addresses a critical challenge in accessibility research—enabling real-world device manipulation without requiring fine motor skills. Her work stands out for its practical integration of machine learning with assistive robotics, offering a scalable solution that reduces barriers between users and their environments. Rajakumari’s research continues to inspire innovations in inclusive design, highlighting the potential of eye-based interfaces to transform lives.
Research Focus
Key Achievements
Top Papers
- 1