R Dinesh

Papers

Total Citations

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About

R. Dinesh is a researcher specializing in computer vision and human-computer interaction, with a particular focus on hand gesture recognition using deep learning techniques. His most cited work, "CNN based Static Hand Gesture Recognition using RGB-D Data" (2022), has garnered 12 citations and addresses the critical challenge of interpreting non-verbal communication through hand postures. Dinesh's major contribution lies in leveraging Convolutional Neural Networks (CNNs) with RGB-D data to enhance the accuracy and robustness of static gesture recognition, a technology with transformative applications in Sign Language Recognition (SLR), robotics control, and 3D modeling. By integrating depth information with traditional visual data, his approach overcomes limitations of conventional methods, such as sensitivity to lighting and background variations. This work underscores his commitment to bridging the gap between human intent and machine understanding, offering practical solutions for assistive technologies and interactive systems. Dinesh's research continues to influence the development of intuitive, real-time gesture-based interfaces, making him a notable contributor to the evolving field of human-computer interaction.