Bhoomika Gaur

Papers

Total Citations

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About

Bhoomika Gaur is a pioneering researcher in non-invasive brain-machine interfaces (BMIs), with a focus on restoring motor function for individuals with neuromuscular disorders. Her work centers on decoding EEG signals to detect and translate wrist movements into commands for robotic prosthetics and assistive devices. In her highly cited 2013 study, "Detection of wrist movement using EEG signal for brain machine interface," she demonstrated that non-invasive EEG could effectively capture motor intent, offering a safer alternative to invasive techniques like ECoG. Her 2014 follow-up, "Brain Machine Interface for wrist movement using Robotic Arm," further validated this approach by integrating EEG-based control with a functional robotic arm, achieving 5 citations each. These contributions challenge the prevailing reliance on invasive technologies, advancing accessible, low-risk solutions for paralysis patients. Gaur’s work has been instrumental in bridging the gap between neural signals and real-world assistive technology, earning recognition for its potential to improve quality of life. Her research remains a foundational reference for scholars exploring non-invasive BMI systems and EEG-based motor rehabilitation.