Pankaj Bahekar

Papers

Total Citations

H-Index

About

Pankaj Bahekar’s research lies at the intersection of human-computer interaction and gesture recognition, with a focus on bridging the gap between natural human communication and digital interfaces. His most cited work, “3D Gesture Recognition for Human-Computer Interaction” (2012), addresses the limitations of traditional input devices like keyboards and mice by exploring vision- and sound-based methods for interpreting three-dimensional gestures. This foundational study, cited 2 times, highlights the potential for more intuitive interaction in domains such as computer gaming, robotics, and design, where spatial awareness is critical. Bahekar’s contributions underscore the shift toward non-mechanical interfaces, proposing that humans’ primary communication modes—vision and sound—can be harnessed for seamless control. While his citation count reflects early-stage impact, his work anticipates modern advances in touchless gesture systems and augmented reality. By challenging reliance on physical peripherals, Bahekar’s research offers a glimpse into a future where computers respond to natural human cues, making technology more accessible and immersive for students and researchers exploring next-generation interaction paradigms.