J. Navin Sankar
Papers
1
Total Citations
3
H-Index
1
About
J. Navin Sankar is a researcher at the forefront of assistive technology, specializing in brain-computer interfaces (BCIs) and biomedical signal processing. His work focuses on translating neural activity into practical solutions for individuals with severe motor disabilities. His most-cited paper, "Implementation of Brain Controlled Robotic Car to Assist Paralytic and physically Challenged People by Analyzing EEG Signals" (2020), demonstrates a novel approach to extracting commands from electroencephalogram (EEG) signals to control a robotic vehicle. This contribution directly addresses the mobility challenges faced by paralyzed and physically impaired individuals, offering a non-invasive, real-time control system that bypasses damaged neural pathways. While his citation count is currently modest, the practical, human-centered nature of his research underscores its potential for significant real-world impact. By integrating signal processing algorithms with robotic hardware, Sankar’s work exemplifies how engineering can restore autonomy and improve quality of life for those with profound physical limitations.
Research Focus
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Top Papers
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