Kaustubh Mhaisekar

Indian Institute of Information Technology, Pune

Papers

Total Citations

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About

Kaustubh Mhaisekar is a researcher focused on the intersection of computer vision and human-computer interaction, with a primary emphasis on gesture recognition systems. His most-cited work, “Study and Survey on Gesture Recognition Systems” (2023), has garnered 7 citations, providing a comprehensive overview of recent technological advancements in the field. This survey highlights the rapid evolution of gesture-based applications, from touchless interfaces to sign language interpretation, and synthesizes key implementation strategies that have informed subsequent research. Mhaisekar’s contribution lies in systematically mapping the landscape of gesture recognition, identifying core challenges such as real-time processing and environmental variability, and outlining promising directions for future work. His research serves as a valuable resource for students and practitioners seeking to understand the state of the art in computer vision-driven interaction. By bridging theoretical frameworks with practical implementation insights, Mhaisekar has helped advance the accessibility and usability of gesture-based systems, making his work a foundational reference for those exploring intuitive, hands-free control technologies.