Category Archives: Augmented reality

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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Summer 2021: 3 REU Projects on Next-generation Mobile AR

This summer we were fortunate to be able to virtually host 3 Research Experience for Undergraduates (REU) students in the I^3T Lab, through the Duke University REU Site for Meeting Grand Challenges in Engineering. The research students were engaged in … Continue reading

Posted in AR-assisted surgery, Augmented reality, Duke University, Gaming engines, Indoor environments, Internet of Things, Mobile computing, Technology, Undergraduate research | Leave a comment

Fall 2020: 7 BS projects on mobile AR, VR, cognitive context sensing, and gaming engine-based algorithm training

7 ECE and CS independent undergraduate research projects have been completed in the I^3T lab over the Fall of 2020. The projects are summarized below. This work is supported in part by NSF grants CSR-1903136 and CNS-1908051, IBM Faculty Award, … Continue reading

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ACM SenSys’20 paper: Gaze-based Cognitive Context Sensing

In our recent work that appeared in ACM SenSys 2020, we take a close look at the detection of cognitive context, the state of the person’s mind,¬†through users’ eye tracking. Eye tracking is a fascinating human sensing modality. Eye movements … Continue reading

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Finalist Team, Facebook Research Awards: Exploration of Trust in AR, VR, and Smart Devices

Jointly with the the group of Prof. Neil Gong, we were the finalists for the Facebook Research Exploration of Trust in AR, VR, and Smart Devices Awards. PI Gorlatova has previously contributed to the¬†2019 University of Washington Industry-Academia Summit on … 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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Edge-based Provisioning of Holographic Content for Augmented Reality

Our work on using edge computing to transmit holograms to augmented reality (AR) users has recently appeared in the IEEE SmartEdge Workshop, co-located with IEEE PerCom, as an invited paper. [ Paper PDF ] [ Presentation slides ] [ Video … Continue reading

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5 Undergraduate Independent Study Projects On Mobile Augmented Reality Completed in Fall 2019

5 independent undergraduate research projects have been completed in the I^3T lab this semester. In these projects students investigated different elements of mobile augmented reality (AR), including edge-based integration of AR with low-end IoT devices, user perception of different types … Continue reading

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Two Demos Showcased at ACM SenSys’19

Two demos developed in the lab were presented at ACM SenSys’19 in New York City, NY, in November 2019. A demo led by Joseph DeChicchis, titled Adaptive AR Visual Output Security Using Reinforcement Learning Trained Policies, demonstrates how reinforcement learning-based … Continue reading

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Summer Research Experience for Undergraduates Students Presenting Their Work on Edge Computing and Augmented Reality

Two summer Research Experiences for Undergraduates students have presented their summer projects at the Duke University REU showcase. Courtney Johnson presenting his summer research on precision eye tracking for Magic Leap performance and user experience optimization. Jovan Stojkovic, Duke ECE … Continue reading

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