Shome S. Das

Papers

Total Citations

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About

Shome S. Das is a researcher advancing the frontiers of human-computer interaction (HCI), with a focus on precise pointing direction estimation and inertial sensing. His work bridges the gap between intuitive gesture-based interfaces and practical, low-cost hardware. Das’s most cited paper (2018, 8 citations) introduces a method for estimating pointing direction using only depth data, eliminating the need for multi-camera RGB setups and significantly reducing complexity in applications like human-robot interaction and virtual reality. He further extended this work with a dedicated dataset and method (2021, 7 citations), addressing the need for immersive, non-cumbersome 3D pointing devices in VR and robotics. Beyond gesture recognition, Das has contributed to sensor calibration, developing a simple, inexpensive, and accurate calibration technique for 9-axis inertial motion units (2019, 5 citations), which is critical for navigation in drones, robots, and wearable devices. His research demonstrates a clear impact on making HCI systems more accessible and robust, with citation counts reflecting growing interest from the community. Das’s work is particularly notable for its emphasis on practical, low-cost solutions that maintain high accuracy, making his contributions valuable for both academic research and real-world deployment in assistive technologies and immersive environments.