Determination of car seat contact area for personalised thermal sensation modelling

A lot of daily activities are conducted in a sedentary posture. This includes a thermal interaction between the human and the seat that has implications on thermal perception and comfort. These interactions are investigated by simulating heat and mass transfer, thus, reducing a need for costly and t...

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Bibliographic Details
Published in:PloS one 2018-12, Vol.13 (12), p.e0208599-e0208599
Main Authors: Fojtlín, Miloš, Psikuta, Agnes, Toma, Róbert, Fišer, Jan, Jícha, Miroslav
Format: Article
Language:English
Subjects:
Adult
Anthropometry
Biology and Life Sciences
Body mass
Body mass index
Body measurements
Body size
Body Weight
Brochures
Computer simulation
Environmental engineering
Equipment Design
Ergonomics
Female
Gender differences
Health aspects
Heat and mass transfer
Heat transfer
Humans
HVAC
Insulation
Laboratories
Male
Mass transfer
Mechanical engineering
Medicine and Health Sciences
Microclimate
Nutrition
Physical fitness
Physiology
Posture
Pressure
Protective equipment
Skin
Social Sciences
Surface area
Temperature sensation
Textiles
Thermosensing
Ventilation
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Summary:A lot of daily activities are conducted in a sedentary posture. This includes a thermal interaction between the human and the seat that has implications on thermal perception and comfort. These interactions are investigated by simulating heat and mass transfer, thus, reducing a need for costly and time demanding subject studies. However, it is not clear, from the available literature, what portion of the body surface area is actually affected by the seat with respect to human anthropometry. The aim of this study was to develop a predicting function of the seat contact area based on anthropometric parameters. The results showed strong linear correlation between the contact area obtained by printing a body silhouette on paper placed at the seat and body weight, height, body surface area, and body mass index. The body surface area and the body weight were identified as the best predictors for the contact area.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0208599