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Sensors 2016, 16(3), 341;

Estimating Clothing Thermal Insulation Using an Infrared Camera

Department of Mechanical Engineering, KAIST, Daejeon 305-701, Korea
Department of Mechanical and Control Engineering, Handong Global University, Pohang 791-708, Korea
Author to whom correspondence should be addressed.
Academic Editor: Fabrizio Lamberti
Received: 4 November 2015 / Revised: 16 February 2016 / Accepted: 2 March 2016 / Published: 9 March 2016
(This article belongs to the Section Remote Sensors)
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In this paper, a novel algorithm for estimating clothing insulation is proposed to assess thermal comfort, based on the non-contact and real-time measurements of the face and clothing temperatures by an infrared camera. The proposed method can accurately measure the clothing insulation of various garments under different clothing fit and sitting postures. The proposed estimation method is investigated to be effective to measure its clothing insulation significantly in different seasonal clothing conditions using a paired t-test in 99% confidence interval. Temperatures simulated with the proposed estimated insulation value show closer to the values of actual temperature than those with individual clothing insulation values. Upper clothing’s temperature is more accurate within 3% error and lower clothing’s temperature is more accurate by 3.7%~6.2% error in indoor working scenarios. The proposed algorithm can reflect the effect of air layer which makes insulation different in the calculation to estimate clothing insulation using the temperature of the face and clothing. In future, the proposed method is expected to be applied to evaluate the customized passenger comfort effectively. View Full-Text
Keywords: clothing insulation; thermal comfort; PMV; infrared camera clothing insulation; thermal comfort; PMV; infrared camera

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Lee, J.-H.; Kim, Y.-K.; Kim, K.-S.; Kim, S. Estimating Clothing Thermal Insulation Using an Infrared Camera. Sensors 2016, 16, 341.

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