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NIDL: A pilot study of contactless measurement of skin temperature for intelligent building
KTH, School of Electrical Engineering and Computer Science (EECS). Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Jiangsu, Peoples R China.
KTH, School of Electrical Engineering and Computer Science (EECS), Media Technology and Interaction Design, MID.
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2019 (English)In: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 198, p. 340-352Article in journal (Refereed) Published
Abstract [en]

Human thermal comfort measurement plays a critical role in giving feedback signals for building energy efficiency. A contactless measuring method based on subtleness magnification and deep learning (NIDL) was designed to achieve a comfortable, energy efficient built environment. The method relies on skin feature data, e.g., subtle motion and texture variation, and a 315-layer deep neural network for constructing the relationship between skin features and skin temperature. A physiological experiment was conducted for collecting feature data (1.44 million) and algorithm validation. The contactless measurement algorithm based on a partly-personalized saturation temperature model (NIPST) was used for algorithm performance comparisons. The results show that the mean error and median error of the NIDL are 0.476 degrees C and 0.343 degrees C which is equivalent to accuracy improvements of 39.07% and 38.76%, respectively.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 198, p. 340-352
Keywords [en]
Contactless method, Thermal comfort measurement, Vision-based subtleness magnification, Deep learning, Intelligent building
National Category
Building Technologies
Identifiers
URN: urn:nbn:se:kth:diva-255723DOI: 10.1016/j.enbuild.2019.06.007ISI: 000477091800027OAI: oai:DiVA.org:kth-255723DiVA, id: diva2:1342745
Note

QC 20190814

Available from: 2019-08-14 Created: 2019-08-14 Last updated: 2019-08-14Bibliographically approved

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Cheng, XiaogangHedman, AndersLi, Haibo

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School of Electrical Engineering and Computer Science (EECS)Media Technology and Interaction Design, MID
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