Maanvi Bhatnagar

Papers

Total Citations

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About

Maanvi Bhatnagar is a researcher advancing the field of brain-computer interfaces (BCIs) and neuro-aid technologies, with a focus on decoding motor imagery for human-computer interaction. Her most cited work, "Prototype algorithm for three-class motor imagery data classification: a step toward development of human–computer interaction-based neuro-aid" (2020), introduces a novel classification algorithm that processes electroencephalography (EEG) signals to distinguish between three distinct motor imagery tasks. This contribution is pivotal for creating more intuitive, non-invasive assistive devices, particularly for individuals with motor disabilities. With 5 citations, this paper lays foundational groundwork for scalable BCI systems, addressing challenges in real-time data processing and accuracy. Bhatnagar’s research bridges computational neuroscience and practical neuro-engineering, aiming to translate complex neural patterns into actionable commands. Her work underscores a commitment to developing affordable, accessible neuro-aids, positioning her as an emerging voice in human-centered AI and rehabilitation technology.