Category Archives: Publications

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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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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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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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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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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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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