S. L. Aarthy

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

S. L. Aarthy is a researcher advancing the frontiers of human-robot interaction (HRI) through intelligent signal processing and machine learning. Her key research areas center on the recognition of hand gestures using electromyography (EMG) signals, a critical interface for intuitive robotic control. Aarthy’s most cited work, “Recognition of Hand Gesture Using Electromyography Signal: Human-Robot Interaction” (2022), demonstrates how big data and machine learning methodologies can transform raw biological signals into actionable commands for robots, bridging the gap between human intent and machine response. This contribution has garnered attention in the growing field of assistive and collaborative robotics, with 4 citations to date—a notable early impact for a recent publication. By focusing on non-invasive, real-time gesture recognition, Aarthy’s research holds promise for applications in prosthetics, rehabilitation, and industrial automation. Her work exemplifies the integration of computational intelligence with biomedical engineering, offering a pathway toward more natural and accessible human-machine interfaces. As the demand for seamless HRI grows, Aarthy’s foundational studies position her as an emerging voice in this interdisciplinary domain.