Rakesh Reddy Yakkati

Papers

Total Citations

H-Index

About

Rakesh Reddy Yakkati is a researcher at the forefront of human-computer interaction and intelligent sensing, with a primary focus on advancing hand gesture recognition technologies. His most cited work, "A Deep CNN-Based Hand Gestures Recognition Using High-Resolution Thermal Imaging" (2024, 4 citations), addresses a critical limitation in traditional vision-based systems—performance degradation under varying lighting conditions. By leveraging high-resolution thermal imaging combined with deep convolutional neural networks, Yakkati has pioneered a robust approach that maintains accuracy in challenging environments, such as automotive user interfaces and industrial robotics. This contribution is particularly significant for applications requiring reliable, contactless control in real-world settings. His research bridges the gap between computer vision and practical deployment, offering a pathway toward more intuitive and resilient human-machine interaction. Yakkati’s work not only demonstrates technical innovation but also holds promise for enhancing safety and efficiency in autonomous systems and assistive technologies. As his citation count grows, his thermal imaging methodology is poised to become a cornerstone in the next generation of gesture-based interfaces, making him a notable emerging voice in the field of applied deep learning and sensor fusion.