Name
Abstract | ||
|---|---|---|
As Augmented Reality (AR) gets popular on wearable devices such as Google Glass, various AR applications have been developed by leveraging synergetic benefits beyond the single technologies. However, the poor computational capability and limited power capacity of current wearable devices degrade runtime performance and sustainability. Computational offloading strategy has been proposed to outsource computation to remote cloud for improving performance. Nevertheless, comparing with mobile devices, the wearable devices have their specific limitations, which induce additional problems and require new thoughts of computational offloading. In this paper, we propose several guidelines of computational offloading for AR applications on wearable devices based on our practical experiences of designing and developing AR applications on Google Glass. The guidelines have been adopted and proved by our application prototypes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2733373.2806402 | ACM Multimedia |
Keywords | Field | DocType |
Offloading,Augmented reality,Wearable devices | Computer science,Outsourcing,Augmented reality,Mobile device,Wearable technology,Embedded system,Computation,Cloud computing | Conference |
Citations | PageRank | References |
10 | 0.54 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bowen Shi | 1 | 12 | 2.66 |
| Ji Yang | 2 | 12 | 0.89 |
| Zhanpeng Huang | 3 | 48 | 4.65 |
| Pan Hui | 4 | 4577 | 309.30 |