Category Archives: Research

Postdoc in Context-aware Augmented Reality

Duke University I3T Lab is looking for a postdoc in the area of edge computing-supported context-aware augmented reality. The postdoc will work closely with PI Gorlatova and two very capable and driven ECE and CS PhD students, and will have … Continue reading

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Appearing at IEEE INFOCOM’23: Edge-Assisted Adaptive SLAM with Resource Constraints

AdaptSLAM, our recent work led by Ying Chen, explores new approaches for adapting edge computing-supported Visual and Visual-Inertial Simultaneous Localization and Mapping (V- and VI-SLAM) to computation and communication resource constraints. Adapt SLAM’s system architecture. Our design centers on the … Continue reading

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SenSys 2022 Demo: Through an AR Lens

Sarah Eom has demonstrated our ongoing work on AR-based magnification for hand-held loupes at ACM SenSys’22 in Boston, MA. This work is based on a collaboration with Miroslav Pajic (Duke ECE) and Majda Hadziahmetovic (Duke Ophthalmology). [Demo description PDF] [Accompanying poster PDF]

Posted in AR-assisted surgery, Augmented reality, Augmented Reality For Good, Conferences, Demonstrations, Duke University, Edge computing, Exciting! News and updates, Internet of Things, Mobile computing, Research | Leave a comment

ACM UbiComp 2022 Best Poster Award

A poster we presented at ACM UbiComp 2022 in Cambridge, UK, titled “IoT-Enabled Environment Illuminance Optimization for Augmented Reality“, received the ACM UbiComp’22 Best Poster Award. [ Poster submission  ] [ Poster presented at the conference ] This poster outlines a system that uses a smart … Continue reading

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Two papers appearing at IEEE ISMAR’22

We are delighted to have two of lab’s papers appear at the top AR/MR conference, IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2022 (acceptance rate: 21%). In a paper led by PhD student Sarah Eom titled NeuroLens: Augmented … Continue reading

Posted in Achievement, AR-assisted surgery, Augmented reality, Augmented Reality For Good, Exciting! News and updates, Gaming engines, Indoor environments, Mobile computing, Research | Leave a comment

Summer REU Presentation: Real-time Object Detection for AR-aided Language Learning

Jeremy Suh, Grand Challenges in Engineering NSF REU Fellow at the Pratt School of Engineering, who has spent his summer in the I^3T Lab, has presented a poster and a demo of his work at the Duke University summer REU showcase. Jeremy … Continue reading

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CPS-IoT Week 2022: I3T Lab’s Paper, Workshop, and Demo

We are presenting at 3 CPS-IoT Week sessions this week: IPSN’22: EyeSyn: Psychology-inspired Eye Movement Synthesis for Gaze-based Activity Recognition presents the first method for synthesizing eye movement data for training eye movement-based activity classifiers for AR and VR without human … Continue reading

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ECE Independent Study Best Poster Award for Alex Xu’s Work

Heartfelt congratulations to Alex Hu for receiving the Spring 2022 ECE Independent Study Best Poster Award, for his poster titled “Impact of the Environment on Eye Tracking Efficacy in Headset Augmented Reality“. The poster was prepared as part of Alex’s … Continue reading

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Fall 2021: 9 BS Independent Studies on Next-Generation AR and VR

9 ECE and CS independent undergraduate research projects on next-generation AR and VR were completed in the lab over this semester. This work is supported in part by NSF grants CSR-1903136, CNS-1908051, and CAREER-2046072, and by an IBM Faculty Award. … Continue reading

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I3T Lab Hiring PhD Students and Postdocs

Duke University I^3T Lab has multiple openings for PhD students and postdocs. We work in the area of pervasive mobile and sensing systems broadly, and pervasive mobile Augmented Reality (AR) and next-generation intelligence for the Internet of Things in particular. … Continue reading

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