C S Arun

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About

C S Arun is a researcher whose work bridges computer vision, human-computer interaction, and assistive technology, with a particular focus on making communication more accessible. His most influential contribution is the development of a real-time sign language interpreter, a system that translates hand gestures into spoken or written language to support individuals with hearing or speech impairments. This work, published in 2017 and cited 35 times, has been recognized for its practical applications in gesture-controlled devices, smart home systems, and broader human-computer interaction scenarios. By enabling seamless, real-time interpretation, Arun’s research addresses a critical gap in accessibility technology, offering a scalable solution that can be integrated into everyday tools. His work not only advances the field of gesture recognition but also underscores the potential of computer vision to create inclusive technologies. For students and researchers interested in the intersection of AI, accessibility, and real-time systems, Arun’s contributions provide a compelling example of how technical innovation can directly improve quality of life.