Home > Research > Publications & Outputs > Evaluating Energy-Efficiency using Thermal Imaging

Electronic data

  • Evaluating_Energy_Efficiency_using_Thermal_Imaging(1)

    Rights statement: (c) ACM 2019 This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in. The 20th International Workshop on Mobile Computing Systems and Applications (HotMobile ’19), February, 27–28, 2019, Santa Cruz, CA, USA, https://doi.org/10.1145/3301293.3302364

    Accepted author manuscript, 4.28 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Evaluating Energy-Efficiency using Thermal Imaging

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • Huber Flores
  • Jonatan Hamberg
  • Xin Li
  • Titti Malmivirta
  • Agustin Zuniga
  • Eemil Lagerspetz
  • Petteri Tapio Nurmi
Close
Publication date27/02/2019
Host publicationThe 20th International Workshop on Mobile Computing Systems and Applications
PublisherACM
Pages147-152
Number of pages6
ISBN (print)9781450362733
<mark>Original language</mark>English

Abstract

Energy-efficiency remains a critical design consideration for mobile and wearable systems, particularly those operating continuous sensing. Energy footprint of these systems has traditionally been measured using hardware power monitors (such as Monsoon power meter) which tend to provide the most accurate and holistic view of instantaneous power use. Unfortunately applicability of this approach is diminishing due to lack of detachable batteries in modern devices. In this paper, we propose an innovative and novel approach for assessing energy footprint of mobile and wearable systems using thermal imaging. In our approach, an off-the-shelf thermal camera is used to monitor thermal radiation of a device while it is operating an application. We develop the general theory of thermal energy-efficiency, and demonstrate its feasibility through experimental benchmarks where we compare energy estimates obtained through thermal imaging against a hardware power monitor.

Bibliographic note

(c) ACM 2019 This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in. The 20th International Workshop on Mobile Computing Systems and Applications (HotMobile ’19), February, 27–28, 2019, Santa Cruz, CA, USA, https://doi.org/10.1145/3301293.3302364