Topic: Edge and IoT-supported Intelligent Augmented Reality: Promise, Challenges, and Solutions

Next in our spring seminar series, we welcome Dr. Maria Gorlatova, an Associate Professor in the Department of Electrical and Computer Engineering at Duke University.

Abstract:
Mobile augmented reality (AR), which integrates virtual objects with 3D real environments in real time, has been showing outstanding potential in many application domains including education, retail, and healthcare. AR is broadly expected to redefine how we interact with technology and the world around us. Yet current AR falls short of many of the expectations. This talk presents our vision of multi-device, edge computing-supported and Internet-of-Things (IoT)-integrated platforms for next-generation intelligent context-aware AR. I describe shortcomings in modern AR platforms’ spatial and semantic awareness capabilities and identify key gaps that need to be addressed to enable AR to become robust and resource-efficient; I present solutions to some of the challenges, touching on topics in edge computing, machine learning, and resource-efficient simultaneous localization and mapping (SLAM). I also highlight opportunities associated with close integration of AR platforms and their users and describe a set of solutions for robust gaze-based user context awareness in AR. The talk showcases several applications of next-generation context-aware AR, such as AR-based surgical guidance and AR support for mental and behavioral health and well-being.

You can see the presentation live at the UTSA Main Campus in the Student Union Mesquite room (2.01.24).

Those who cannot attend in-person are welcome to tune in virtually through Zoom: https://utsa.zoom.us/j/94807623288.