Description
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.
Period | 11 Jun 2018 |
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Event title | 16th ACM International Conference on Mobile Systems, Applications, and Services |
Event type | Conference |
Location | Munich, GermanyShow on map |
Degree of Recognition | International |
Related content
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Activities
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16th ACM International Conference on Mobile Systems, Applications, and Services
Activity: Attending an event › Conference organisation or participation
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Publications
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On the Feasibility of Real-Time 3D Hand Tracking using Edge GPGPU Acceleration
Research output: Working paper/Preprint › Working paper › Research
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Demo: Distributed Real-Time Generative 3D Hand Tracking using Edge GPGPU Acceleration
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review