Jay Shankar Prasad

Indian Institute of Information Technology Allahabad

Papers

Total Citations

H-Index

About

Jay Shankar Prasad is a pioneering researcher in human-robot interaction (HRI), with a specialized focus on gesture recognition and assistive communication technologies. His most influential work, "Recognizing & Interpreting Indian Sign Language Gesture for Human Robot Interaction" (2010, 45 citations), introduces a novel framework for classifying Indian Sign Language (ISL) gestures, enabling intuitive, non-verbal communication between humans and humanoid robots like the HOAP-2. This contribution bridges accessibility and robotics, offering an elegant pathway for deaf and hard-of-hearing individuals to interact with autonomous systems. Prasad also explored the creative intersection of gesture and technology in "Gesture Based Music Generation" (2009), where he developed a system that translates human motion into rhythmic musical patterns, synchronizing dance on humanoid robots. By applying both random motion and human gesture inputs, his work demonstrates how robotics can serve entertainment and expressive arts. Though his citation counts reflect a focused, emerging impact, Prasad’s research is notable for its interdisciplinary vision—combining computer vision, machine learning, and social robotics to make human-robot collaboration more inclusive and engaging. His contributions lay important groundwork for future assistive and interactive robotic systems.