DescriptionThis 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|
|Event title||16th ACM International Conference on Mobile Systems, Applications, and Services|
|Degree of Recognition||International|
Research output: Working paper › Research
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Activity: Attending an event › Conference organisation or participation