CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2018_046
authors Lu, Siliang and Cochran Hameen, Erica
year 2018
title Integrated IR Vision Sensor for Online Clothing Insulation Measurement
doi https://doi.org/10.52842/conf.caadria.2018.1.565
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 565-573
summary As one of the most important building systems, HVAC plays a key role in creating a comfortable thermal environment. Predicted Mean Vote (PMV), an index that predicts the mean value of the votes of a large group of persons on the thermal sensation scale, has been adopted to evaluate the built environment. Compared to environmental factors, clothing insulation can be much harder to measure in the field. The existing research on real-time clothing insulation measurement mainly focuses on expensive infrared thermography (IR) cameras. Therefore, to ensure cost-effectiveness, the paper has proposed a solution consisting of a normal camera, IR and air temperature sensors and Arduino Nanos to measure clothing insulation in real-time. Moreover, the algorithm includes the initialization from clothing classification with pre-trained neural network and optimization of the clothing insulation calculation. A total of 8 tests have been conducted with garments for spring/fall, summer and winter. The current results have shown the accuracy of T-shirt classification can reach over 90%. Moreover, compared with the results with IR cameras and reference values, the accuracies of the proposed sensing system vary with different clothing types. Research shall be further conducted and be applied into the dynamic PMV-based HVAC control system.
keywords clothing insulation; skin temperature; clothing classification; IR temperature sensor; Optimization
series CAADRIA
email
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100%; open ASHRAE, S (2010) Find in CUMINCAD Standard 55-2010:Thermal Environmental Conditions for Human Occupancy , ASHRAE. Atalanta USA

100%; open Banerjee, D, Chattopadhyay, S K and Suneet, T (2013) Find in CUMINCAD Infrared thermography in material research- A review of textile applications , Indian Journal of Fibre & Textile Research, 38, pp. 427-437

100%; open Lee, J H, Kim, Y K and Kim, K S (2016) Find in CUMINCAD Estimating Clothing Thermal Insulation Using an Infrared Camera , sensors, 16(3), p. 341

100%; open Liu, Z, Yan, S, Luo, P, Wang, X and Tang, X (2016) Find in CUMINCAD Fashion Landmark Detection in the Wild , European Conference on Computer Vision (ECCV)

100%; open Malchaire, J (2004) Find in CUMINCAD ISO 7933, Ergonomics of the Thermal Environment-Analytical Determination and Interpretation of Heat Stress Using Calculation of the Predicted Heat Strain, 2nd ed. , International Organization for Standardization (ISO), Geneva

100%; open Schiavon, S and Lee, K H (2013) Find in CUMINCAD Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures , Building and Environment, 59, pp. 250-260

100%; open Szegedy, C, Liu, W, Jia, Y, Sermanet, P and Reed, S (2015) Find in CUMINCAD Going Deeper with Convolutions , CVPR 2015

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