Mercy Paul Selvan

Sathyabama Institute of Science and Technology

Papers

Total Citations

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About

Mercy Paul Selvan is a researcher at the forefront of human-robot interaction and affective computing, specializing in the intersection of artificial intelligence and human-machine communication. Her work focuses on developing intuitive interfaces that allow robots to understand and respond to human emotional cues, bridging the gap between natural human behavior and machine intelligence. Selvan’s most cited paper, "A Research on Application of Human-Robot Interaction using Artificial Intelligence" (2019, 11 citations), explores online robot instructing through common human-robot connections, emphasizing the critical role of speech and gesture in enabling collaborative, intelligent robots. Building on this foundation, her 2023 study "Human Emotion Recognition by Audio Signals using MLP Classifier" (8 citations) advances the emerging field of speech emotion recognition, demonstrating how audio-based emotion detection can enhance applications ranging from banking and contact centers to in-car systems and robot communication. With a combined citation impact of 19 across her top works, Selvan’s contributions are shaping more empathetic, responsive AI systems that can interpret human emotional states in real time. Her research holds particular promise for creating safer, more natural interactions between humans and autonomous machines in everyday settings.