Estimating Clothing Thermal Insulation Using an Infrared Camera

• Main Authors: Jeong-Hoon Lee, Young-Keun Kim, Kyung-Soo Kim, Soohyun Kim
• Format: Article
• Language: English
• Published: MDPI AG 2016-03-01
• Series: Sensors
• Subjects: clothing insulation; thermal comfort; PMV; infrared camera
• Online Access: http://www.mdpi.com/1424-8220/16/3/341

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.