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Combining a thermal camera and a wristband sensor for thermal comfort estimation

Published: 09 September 2019 Publication History

Abstract

We propose a method to estimate thermal comfort by combining a thermal camera and a wristband sensor. A wristband sensor continuously monitors physiological data (i.e. heart rate, skin temperature, and electrodermal activity). On the other hand, a thermal camera captures temperature distribution of facial parts only when a user's face is in the camera frame. When a thermal camera cannot capture the user's face, our method estimates thermal comfort based on the current features obtained by the wristband sensor and the past estimation results using the thermal camera. To investigate the effectiveness in the reduction of energy consumption by air conditioning, we evaluate our method by collecting data from 15 subjects for 128 days. The results show our method achieves F-measure of 0.85 for estimating thermal comfort allowing shifts to the neighboring classes.

References

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P.O. Fanger. 1970. Thermal Comfort: Analysis and Applications in Environmental Engineering.
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FLIR. 2017. FLIR ONE Pro | FLIR Systems. http://www.flir.jp/flirone/
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J. Ranjan and J. Scott. 2016. ThermalSense: Determining Dynamic Thermal Comfort Preferences using Thermographic Imaging. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM.
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W.R. Tan, C.S. Chan, P. Yogarajah, and J. Condell. 2012. A Fusion Approach for Efficient Human Skin Detection. IEEE Transactions on Industrial Informatics 8, 1 (2012), 138--147.
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D. Teli, M.F. Jentsch, P.A.B. James, and A. Bahaj. 2012. Field study on thermal comfort in a UK primary school. Proceedings of 7th Windsor Conference: The Changing Context of Comfort in an Unpredictable World.
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H. Yoshikawa, A. Uchiyama, and T. Higashino. 2019. Dynamic Offset Correction for Smartphone Thermal Cameras Using a Wristband Sensor. In Proceedings of the 5th Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices(WristSense '19).

Cited By

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  • (2024)AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in VehiclesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785038:3(1-49)Online publication date: 9-Sep-2024
  • (2024)Concentration Estimation in Online Video Lecture Using Multimodal SensorsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677587(71-75)Online publication date: 5-Oct-2024

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Published In

cover image ACM Conferences
UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
September 2019
1234 pages
ISBN:9781450368698
DOI:10.1145/3341162
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2019

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Author Tags

  1. machine learning
  2. thermal camera
  3. thermal comfort
  4. wristband sensor

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UbiComp '19

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2024)AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in VehiclesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785038:3(1-49)Online publication date: 9-Sep-2024
  • (2024)Concentration Estimation in Online Video Lecture Using Multimodal SensorsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677587(71-75)Online publication date: 5-Oct-2024

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