Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2012
Abstract
Mobile gaming has become increasingly popular in the past few years with the proliferation of smartphones that have the increased CPU, memory, and network (3.5G etc.) capabilities to support a vast range of interesting games. In addition, these phones also have high quality displays, such as Organic Light Emitting Diodes (OLED) displays, that allow the intricate details in games to be shown in vivid detail to end users. Unfortunately, these displays tend to consume a lot of energy which in turn limits the amount of time that a user can spend actually playing games on these devices. In this paper, we describe a technique that makes use of saliency, with respect to the end user, to reduce the power consumption of OLED displays when they are used for games, by reducing the brightness of game areas that are not of interest currently to the game player. We evaluated our technique with a user study and showed that even for fast paced shooting games, our solution is able to save a modest amount of power with no impact in the end user gaming experience.
Keywords
Power Management, Saliency, Mobile Games
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
MobiGames'12: Proceedings of the ACM International Workshop on Mobile Gaming: August 13, 2012, Helsinki, Finland
First Page
25
Last Page
30
ISBN
9781450314879
Identifier
10.1145/2342480.2342487
Publisher
ACM
City or Country
New York
Citation
TAN, Kiat Wee and BALAN, Rajesh Krishna.
Adaptive Display Power Management for OLED Displays. (2012). MobiGames'12: Proceedings of the ACM International Workshop on Mobile Gaming: August 13, 2012, Helsinki, Finland. 25-30.
Available at: https://ink.library.smu.edu.sg/sis_research/1673
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/10.1145/2342480.2342487
Comments
Best Paper Award Winner