Category Archives: Edge computing

Duke VISION Magazine Profile

Sarah Eom’s research on augmented reality for retinal laser therapy is profiled by the Duke Eye Center VISION Magazine.  This project, done in collaboration with Miroslav Pajic (Duke ECE) and Majda Hadziahmetovic (Duke Ophthalmology), not only demonstrates a new application of augmented reality, but … 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

AI Institute I3T Lab Showcase

At the Athena AI Institute‘s 1st Annual Summit held at Duke University in August 2022, 4 members of the lab presented posters and showcased the work of the lab during the I3T Lab Tour. The projects showcased during the summit covered … Continue reading

Posted in AR-assisted surgery, Augmented reality, Demonstrations, Duke University, Durham NC, Edge computing, Indoor environments, Internet of Things, Lab tours, Mobile computing | 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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IEEE INFOCOM 2022 Paper and Demo

This week Ying Chen is presenting our work on evaluating and exploiting characteristics of user pose in VR at IEEE INFOCOM’22, in a paper and an accompanying demonstration:  VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations presents the … Continue reading

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Two Papers Appearing at Workshops Co-Located with IEEE VR 2022

Two papers from the group are set to be presented at workshops co-located with IEEE VR 2022. Both papers are centered on end applications of next-generation augmented reality (AR) techniques we are currently developing in our lab.

Posted in Achievement, AR-assisted surgery, Augmented reality, Augmented Reality For Good, Edge computing, Internet of Things, Mobile computing, Technology, Virtual reality, Wearable computing | Comments Off on Two Papers Appearing at Workshops Co-Located with IEEE VR 2022

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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IEEE/ACM IPSN Paper: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality

Our paper on image recognition for mobile augmented reality in the presence of image distortions appeared in IEEE/ACM IPSN’20 and received the conference’s Best Research Artifact Award [ Paper PDF ] [ Presentation slides ] [ Video of the presentation … Continue reading

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