S. Shanmugapriya

Papers

Total Citations

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About

S. Shanmugapriya is a researcher at the forefront of assistive technology, specializing in brain-computer interfaces (BCIs) and their application in robotics and home automation. Her most-cited work, "Brain-computer interface of robot control with home automation for disabled" (2023), has garnered 4 citations, reflecting its growing relevance in the field of human-machine interaction. This study pioneers a non-invasive BCI system that enables individuals with severe motor disabilities to control robotic devices and smart home environments using neural signals, significantly enhancing their independence and quality of life. By integrating electroencephalography (EEG) with IoT-based automation, Shanmugapriya's contribution addresses critical gaps in accessibility, offering a scalable and cost-effective solution for real-world assistive living. Her work stands out for its practical emphasis on user-centric design, bridging the gap between cutting-edge neurotechnology and everyday utility. As a researcher, she demonstrates a commitment to translating complex neural engineering principles into tangible aids for the disabled, marking her as an emerging voice in the intersection of neuroscience, robotics, and inclusive technology.