S. Prasanth Vaidya

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About

S. Prasanth Vaidya is a researcher specializing in human-computer interaction and computer vision, with a particular focus on gesture recognition and real-time hand tracking technologies. His most-cited work, "Hand Gesture Mapping Using MediaPipe Algorithm" (2022), has garnered 14 citations and demonstrates his expertise in leveraging machine learning frameworks to create intuitive, touchless interfaces. Vaidya's contributions center on developing efficient algorithms that map natural hand movements into digital commands, enabling applications in virtual reality, assistive technologies, and smart device control. His research addresses critical challenges in latency and accuracy for real-time gesture recognition, making human-machine interaction more seamless and accessible. By integrating MediaPipe's pre-trained models with custom mapping techniques, Vaidya has advanced the practical deployment of gesture-based systems in resource-constrained environments. His work holds particular significance for students and researchers exploring low-cost, scalable solutions in computer vision, offering a foundation for further innovation in non-verbal communication interfaces and augmented reality systems.