J. L. Raheja
Papers
1
Total Citations
29
H-Index
1
About
J. L. Raheja is a leading researcher in human-machine interaction, with a primary focus on hand gesture recognition (HGR) as a natural, intuitive interface. His most cited work, the 2013 survey "Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey," has garnered 29 citations, establishing a foundational overview for engineers, scientists, and bioinformatics researchers. Raheja’s major contribution lies in systematically analyzing intelligent methods—such as machine learning and computer vision—that enable machines to interpret human gestures without physical contact, bridging the gap between users and technology. His research emphasizes making interactions more accessible and effortless, impacting fields like assistive technology, robotics, and virtual reality. By synthesizing diverse approaches, Raheja has provided a roadmap for developing robust, real-time gesture recognition systems, inspiring both academia and industry to advance natural user interfaces. His work continues to influence the design of smarter, more responsive machines, highlighting the transformative potential of gesture-based communication in everyday applications.
Research Focus
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Top Papers
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