Florence Gnana Poovathy

Vellore Institute of Technology University

Papers

Total Citations

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About

Florence Gnana Poovathy is a researcher at the forefront of assistive technology, specializing in Brain-Computer Interfaces (BCI) and computational neuroscience. Her work focuses on translating neural signals—specifically Electroencephalogram (EEG) and Electrooculogram (EOG)—into actionable commands for robotic prosthetics, aiming to restore mobility for individuals with severe physical disabilities. Her most cited paper, "Computational Approach to guide Mind Controlled Robotic Arm using BCI – A Review" (2021, 3 citations), provides a comprehensive synthesis of algorithms and signal-processing techniques that enable mind-controlled robotic arms. By critically evaluating existing BCI frameworks, Poovathy identifies key challenges in real-time signal classification and system integration, laying groundwork for more intuitive, non-invasive control systems. Beyond this review, her contributions advance the practical deployment of BCI in rehabilitation, bridging computational theory with real-world assistive devices. Her work is particularly impactful for students and researchers exploring human-machine interaction, offering a clear roadmap for developing low-latency, high-accuracy neural interfaces. Poovathy’s research not only pushes the boundaries of neuroprosthetics but also underscores the transformative potential of BCI in enhancing quality of life for those with motor impairments.