V. Hareesh

Papers

Total Citations

H-Index

About

V. Hareesh is a researcher whose work lies at the intersection of human-computer interaction and machine learning, with a particular focus on gesture-based interfaces. His most cited paper, "Robust Feature Extraction Technique for Hand Gesture Recognition System" (2023), has garnered 3 citations, establishing a foundation for more intuitive and accessible control systems. This contribution addresses a critical challenge in the field: developing reliable methods for extracting meaningful features from complex hand movements, enabling more accurate and responsive gesture recognition. Hareesh’s research is pivotal for advancing applications in virtual reality, assistive technologies, and touchless interfaces, where natural hand gestures replace traditional input devices. By improving the robustness of feature extraction, his work helps bridge the gap between human intent and machine interpretation, making technology more seamless and user-friendly. Though early in his career, Hareesh’s focus on practical, real-world solutions positions him as a promising voice in the ongoing evolution of human-centered computing, with potential to influence how we interact with digital environments in the years ahead.