Chandana N. Aithal

Papers

Total Citations

H-Index

About

Chandana N. Aithal is a researcher focused on advancing human-computer interaction through computer vision and machine learning. Her work centers on developing robust algorithms for hand gesture recognition, particularly in challenging real-world environments. Her most-cited paper, "Hand Gesture Recognition in Complex Background" (2022), addresses a critical bottleneck in the field: accurately interpreting gestures against cluttered or dynamic backgrounds. This contribution is vital for applications ranging from sign language translation to touchless control systems. While her citation count is currently modest, her research tackles a fundamental problem that limits the deployment of gesture-based interfaces, positioning her work as a building block for more resilient and practical systems. Her efforts contribute to making gesture recognition more reliable outside controlled lab settings, a key step toward seamless integration into everyday technology.