Shekhar Raheja

Birla Institute of Technology and Science, Pilani, Central Electronics Engineering Research Institute

Papers

Total Citations

H-Index

About

Shekhar Raheja is a researcher whose work sits at the fascinating intersection of computer vision, human-computer interaction, and robotics. His primary contributions focus on hand gesture recognition systems, particularly developing computational methods to interpret and replicate human hand movements in real time. Raheja's most impactful work, "A Vision based Geometrical Method to find Fingers Positions in Real Time Hand Gesture Recognition" (2012), has garnered 26 citations and introduces a novel geometric approach to calculating the bending angles of individual fingers — a technique designed to enable precise control of electro-mechanical robotic hands that mirror human joint structure and degrees of freedom. Complementing this, his 2011 paper on artificial neural network-based robotic finger positioning (10 citations) demonstrates his interest in applying machine learning to solve complex spatial problems in robotics. His 2012 study on extracting finger angles from live video across both hands further extends this body of work into practical, real-time biometric and gesture-based applications spanning security and entertainment. Together, Raheja's research establishes a coherent vision for bridging human biomechanics with intelligent robotic systems, offering meaningful contributions to the field of gesture-driven human-machine interaction.