Demo: Distributed Real-Time Generative 3D Hand Tracking using Edge GPGPU Acceleration

Ammar Qammaz, Sokol Kosta, Nikolaos Kyriazis, Antonis Argyros

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

This work demonstrates a real-time 3D hand tracking application that runs via computation offloading. The proposed framework enables the application to run on low-end mobile devices such as laptops and tablets, despite the fact that they lack the sufficient hardware to perform the required computations locally. The network connection takes the place of a GPGPU accelerator and sharing resources with a larger workstation becomes the acceleration mechanism. The unique properties of a generative optimizer are examined and constitute a challenging use-case, since the requirement for real-time performance makes it very latency-sensitive.
Original languageEnglish
Title of host publicationMobiSys '18 - International Conference on Mobile Systems, Applications and Services
Number of pages1
Place of PublicationMunich, Germany
PublisherAssociation for Computing Machinery (ACM)
Publication date10 Jun 2018
Pages540-540
ISBN (Print)978-1-4503-5720-3
ISBN (Electronic)9781450357203
DOIs
Publication statusPublished - 10 Jun 2018
Event16th ACM International Conference on Mobile Systems, Applications, and Services - Munich, Germany
Duration: 10 Jun 201815 Jun 2018
https://www.sigmobile.org/mobisys/2018/

Conference

Conference16th ACM International Conference on Mobile Systems, Applications, and Services
Country/TerritoryGermany
CityMunich
Period10/06/201815/06/2018
Internet address

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