Karan Ahuja

Northwestern University, Indian Institute of Information Technology Guwahati

Papers

Total Citations

H-Index

About

Karan Ahuja is a leading researcher at the intersection of human-computer interaction, wearable sensing, and machine learning, with a focus on reimagining how humans interface with digital systems. His most prominent contribution is **EITPose**, a groundbreaking wrist-worn system that uses electrical impedance tomography (EIT) to estimate continuous 3D hand poses in real time. By placing just eight electrodes around the forearm, EITPose models the interior muscle dynamics to infer finger and hand movements—enabling applications in gaming, robotics, and AR/VR without requiring cameras or gloves. This work has already garnered 22 citations since its 2024 publication, signaling strong impact in the wearable sensing community. Earlier, Ahuja introduced **EyamKayo**, an innovative interactive CAPTCHA that leverages eye gaze and facial expressions to distinguish humans from bots, pushing the boundaries of security and accessibility. His research consistently bridges hardware innovation with practical, user-centered design, making complex sensing techniques deployable in everyday contexts. For students and researchers, Ahuja’s work exemplifies how creative sensor fusion can unlock new interaction paradigms, from seamless hand tracking to more intuitive authentication.