B. Naga Soundari
Papers
1
Total Citations
3
H-Index
1
About
B. Naga Soundari’s research lies at the intersection of assistive technology, human-computer interaction, and machine learning, with a focus on empowering individuals with severe motor impairments. Her most cited work, “Extension of desktop control to robot control by eye blinks using Support Vector Machine (SVM)” (2011), pioneers a non-invasive framework that translates intentional eye blinks into robotic commands, bridging the gap between desktop accessibility and physical world control. By leveraging SVM classification, she demonstrates how gaze-based interfaces can be extended beyond simple screen navigation to real-time robot manipulation, offering a lifeline for those with locked-in syndrome or similar conditions. Though her citation count is modest, the conceptual impact of her work is significant—it directly addresses a critical barrier in assistive robotics: enabling hands-free, intuitive control for users who cannot speak or move. Her approach reduces the distance between disabled individuals and technology, proposing a scalable, low-cost solution that could transform daily living aids. Soundari’s contributions highlight the potential of combining pattern recognition with human-centered design, inspiring further research into accessible cyber-physical systems.
Research Focus
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Top Papers
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