Analyzing Head-Mounted AR Device Energy Consumption on a Frame Rate Perspective

Jaewon Choi, Seonjoo Park, Jeonggil Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publication2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509065998
DOIs
Publication statusPublished - 2017 Jun 30
Event14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017 - San Diego, United States
Duration: 2017 Jun 122017 Jun 14

Publication series

Name2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017

Conference

Conference14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
CountryUnited States
CitySan Diego
Period17/6/1217/6/14

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

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