Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2019
Abstract
We present LpGL, an OpenGL API compatible Low-power Graphics Library for energy efficient AR headset applications. We first characterize the power consumption patterns of a state of the art AR headset, Magic Leap One, and empirically show that its internal GPU is the most impactful and controllable energy consumer. Based on the preliminary studies, we design LpGL so that it uses the device's gaze/head orientation information and geometry data to infer user perception information, intercepts application-level graphics API calls, and employs frame rate control, mesh simplification, and culling techniques to enhance energy efficiency of AR headsets without detriment of user experience. Results from a comprehen- sive set of controlled in-lab experiments and an IRB-approved user study with 25 participants show that LpGL reduces up to 22% of total energy usage while adding only 46 sec of latency per object with close to no loss in subjective user experience.
Keywords
Augmented Reality, Energy Efficiency, Mobile Headsets
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
MobiSys '19: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, Seoul, June 17-21
First Page
155
Last Page
167
ISBN
9781450366618
Identifier
10.1145/3307334.3326097
Publisher
ACM
City or Country
New York
Citation
CHOI Jaewon; PARK, Hyeonjung; PAEK, Jeongyeup; BALAN, Rajesh Krishna; and KO, JeongGil.
LPGL: Low-power graphics library for mobile AR headsets. (2019). MobiSys '19: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, Seoul, June 17-21. 155-167.
Available at: https://ink.library.smu.edu.sg/sis_research/4931
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3307334.3326097