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

Ammar Qammaz, Sokol Kosta, Nikolaos Kyriazis, Antonis Argyros

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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.
OriginalsprogEngelsk
TitelMobiSys '18 - International Conference on Mobile Systems, Applications and Services
Antal sider1
UdgivelsesstedMunich, Germany
ForlagAssociation for Computing Machinery
Publikationsdato10 jun. 2018
Sider540-540
ISBN (Trykt)978-1-4503-5720-3
ISBN (Elektronisk)9781450357203
DOI
StatusUdgivet - 10 jun. 2018
Begivenhed16th ACM International Conference on Mobile Systems, Applications, and Services - Munich, Tyskland
Varighed: 10 jun. 201815 jun. 2018
https://www.sigmobile.org/mobisys/2018/

Konference

Konference16th ACM International Conference on Mobile Systems, Applications, and Services
Land/OmrådeTyskland
ByMunich
Periode10/06/201815/06/2018
Internetadresse

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