Abstract
As mobile computing platforms, head-mounted displays (HMDs) for augmented reality (AR) applications, similar to other mobile computing platforms, face challenges in minimizing their energy usage. While not yet as pervasive as smartphones, we can envision that more useful everyday AR applications can arise as we allow HMDs to enjoy longer operation times. This work takes a first step in designing an application- transparent energy management layer within the AR HMD graphics stack. We point out that one aspect that impacts the HMD lifetime is the frame rate at which AR objects are rendered and displayed. Using the Microsoft Hololens platform we propose a scheme to analyze objects' motion dynamics and respectively control the frame rate while meeting a target user perception. We see this work as a preliminary step towards understanding and improving the operational lifetime for AR HMDs.
Original language | English |
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Title of host publication | 2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509065998 |
DOIs | |
Publication status | Published - 2017 Jun 30 |
Event | 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017 - San Diego, United States Duration: 2017 Jun 12 → 2017 Jun 14 |
Publication series
Name | 2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017 |
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Conference
Conference | 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017 |
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Country/Territory | United States |
City | San Diego |
Period | 17/6/12 → 17/6/14 |
Bibliographical note
Funding Information:ACKNOWLEDGEMENTS This research was supported by the Korean Ministry of Science, ICT & Future Planning (MSIP) under the National Program for Excellence in software supervised by IITP (2015-0-00908), and also by the DGIST R&D Program (CPS Global Center) funded by MSIP for the project “Identifying Unmet Requirements for Future Wearable Devices in Designing Autonomous Clinical Event Detection Applications.”
Publisher Copyright:
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Media Technology
- Computer Networks and Communications
- Hardware and Architecture
- Safety, Risk, Reliability and Quality
- Instrumentation