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Estimating Clothing Thermal Insulation Using an Infrared Camera.

Jeong-Hoon Lee1, Young-Keun Kim2, Kyung-Soo Kim3

  • 1Department of Mechanical Engineering, KAIST, Daejeon 305-701, Korea. jhlee6@kaist.ac.kr.

Sensors (Basel, Switzerland)
|March 24, 2016
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A new algorithm estimates clothing insulation using infrared cameras for accurate thermal comfort assessment. This method effectively measures garment insulation across seasons and postures, improving temperature prediction accuracy.

Keywords:
PMVclothing insulationinfrared camerathermal comfort

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Area of Science:

  • Thermal comfort
  • Clothing science
  • Infrared thermography

Background:

  • Accurate assessment of clothing insulation is crucial for understanding thermal comfort.
  • Existing methods may lack precision or real-time capabilities.
  • Non-contact, real-time temperature measurement offers a promising alternative.

Purpose of the Study:

  • To propose a novel algorithm for estimating clothing insulation.
  • To assess thermal comfort using non-contact, real-time infrared thermography.
  • To validate the algorithm's accuracy across various conditions.

Main Methods:

  • Utilizing an infrared camera for non-contact, real-time measurement of face and clothing temperatures.
  • Developing an algorithm to estimate clothing insulation based on these temperature readings.
  • Employing a paired t-test at a 99% confidence interval for statistical validation.
  • Comparing simulated temperatures with estimated insulation values against actual temperatures.

Main Results:

  • The algorithm accurately measures clothing insulation for diverse garments, fits, and postures.
  • Significant effectiveness in measuring clothing insulation across different seasonal conditions was confirmed.
  • Simulated temperatures using the estimated insulation more closely matched actual temperatures.
  • Achieved high accuracy for upper clothing (within 3% error) and lower clothing (3.7%–6.2% error) in indoor scenarios.

Conclusions:

  • The proposed algorithm effectively estimates clothing insulation by incorporating the effect of the air layer.
  • This non-contact method provides accurate thermal comfort assessment for various clothing types and conditions.
  • Future applications include evaluating customized passenger comfort and personalized thermal environments.