Megha Nandakumar
Papers
1
Total Citations
3
H-Index
1
About
Megha Nandakumar’s research lies at the intersection of assistive technology, human-computer interaction, and machine learning, with a focus on empowering individuals with severe physical disabilities. Her pioneering work explores how eye-tracking and biosignal processing can bridge the gap between human intent and machine control. In her most cited paper, “Extension of desktop control to robot control by eye blinks using Support Vector Machine (SVM)” (2011, 3 citations), she demonstrated how SVM classifiers could translate deliberate eye blinks into commands for both desktop interfaces and robotic systems. This work addressed a critical challenge: enabling severely impaired users to interact with their environment without requiring fine motor control. By integrating machine learning with accessible design, Nandakumar showed that even minimal biological signals—like eye blinks—could be harnessed for complex tasks, from cursor navigation to robot manipulation. Her contributions highlight the potential of low-cost, non-invasive technologies to reduce barriers for disabled individuals, advancing the field of inclusive engineering. Though her citation count is modest, the conceptual impact of her work resonates in ongoing efforts to make technology truly accessible to all.
Research Focus
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Top Papers
- 1