S. Rama Sree

Papers

Total Citations

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About

S. Rama Sree is a prominent researcher in the fields of human-computer interaction and machine learning, with a particular focus on gesture recognition and real-time algorithmic applications. Her most-cited work, "Hand Gesture Mapping Using MediaPipe Algorithm" (2022), has garnered 14 citations, showcasing her innovative approach to bridging the gap between intuitive human gestures and digital interfaces. This paper introduces a robust framework for mapping hand movements using the MediaPipe framework, enabling seamless and efficient gesture-based control systems. Sree's contributions are pivotal in advancing accessible technology, particularly for applications in virtual reality, assistive devices, and touchless interaction. Her work not only demonstrates technical rigor but also emphasizes user-centric design, making complex algorithms practical for real-world use. By leveraging state-of-the-art machine learning tools, Sree has established herself as a key figure in developing scalable, low-latency solutions for gesture mapping. Her research continues to inspire students and researchers interested in the intersection of computer vision, human-computer interaction, and embedded systems, highlighting the transformative potential of algorithmic innovation in everyday technology.