P-smart—a virtual system for clothing thermal functional design

Li, Yi; Mao, Aihua; Wang, Ruomei; Xiaonan, Lou; Wang, Zhong; Hou, Wenbang; Zhou, Liuwei; Lin, Yubei

doi:10.1016/j.cad.2006.03.003

Cited by 40 publications

(7 citation statements)

References 12 publications

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“…The second component is psychological comfort, i.e., recollection of past or preconceived experiences; this component is a subjective feeling that is assessed and compared using questionnaire surveys. Subjective evaluations are based on the use of the senses (vision, touch, thermesthesia, and humid heat sensation) to evaluate and describe physiological and psychological comfort [20,21]. Therefore, verbal responses are used to understand subjective feelings; this method can effectively reflect the actual feelings of the users.…”

Section: Comfort In Smart Clothingmentioning

confidence: 99%

Smart Clothing as a Noninvasive Method to Measure the Physiological Cardiac Parameters

2021

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In response to global aging, there have been improvements in healthcare, exercise therapy, health promotion, and other areas. There is a gradually increasing demand for such equipment for health purposes. The main purpose of smart clothing is to monitor the physical health status of the user and analyze the changes in physiological signals of the heart. Therefore, this study aimed to examine the factors that affect the measurement of the heart’s physiological parameters and the users’ comfort while wearing smart clothing as well as to validate the data obtained from smart clothing. This study examined the subjective feelings of users (aged 20–60 years) regarding smart clothing comfort (within 12 h); the median values were comfortable and above (3.4–4.5). The clothing was combined with elastic conductive fiber and spandex to decrease the relative movement of the fiber that acts as a sensor and increase the user’s comfort. Future studies should focus on the optimization of the data obtained using smart clothing. In addition to its use in medical care and post-reconstructive surgery, smart clothing can be used for home care of older adults and infants.

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Section: Comfort In Smart Clothingmentioning

confidence: 99%

Smart Clothing as a Noninvasive Method to Measure the Physiological Cardiac Parameters

2021

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“…This was the reason why Stolwijk provided all equations and coefficients for the model construction and a Fortran code ready to be used and modified by users. Due to above discussed peculiarities, Stolwijk model is still source of inspiration for all researches in this field [59][60][61][62][63][64][65][66][67] as we will discuss below.…”

Section: Stolwijk's Model: In 1966 Stolwijk and Hardy [34]mentioning

confidence: 99%

On the Evolution of Thermoregulation Models

Palella¹

2017

EOIJ

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Thermoregulation models are effective tools for predicting the human response to the thermal environments, assessing thermal comfort and/or thermal stress due to cold or hot conditions, in clothing and automotive research and in building simulation. Fifty years after the first paper by Stolwijk, this work is aimed to the reconstruction of the historical evolution of thermoregulation models based on the bibliography available at the InEQualitES (Indoor Environmental Quality and Energy Saving) team, established in 1983 by professor Gaetano Alfano (University of Naples Federico II) and made by researchers of the DII and DIIn Departments. On the basis of the most recent literature, past and present perspectives of Stolwijk-like models have been also discussed showing the performances of THERMODE 193, a model inspired by the open source philosophy of its precursor and actualized to the recent advances in the field.

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“…Considering the interactions in the HCE system, the development of a mathematical model of the coupled heat and moisture transfer processes in the external environment is accomplished by the boundary condition equations that refer to the thermal status of the external environment and body [32]. Based on the HCE system, for the given values of humidity, air speed, metabolic rate, and clothing insulation, some simulation results on temperature, moisture, and physiological properties of heart rate and blood pressure can be obtained.…”

Section: Related Workmentioning

confidence: 99%

“…Heat conduction, heat convention, heat radiation, moisture absorption/desorption, and so forth are basic heat and moisture transfer ways. In this paper, heat and moisture transfer model of clothing used in the HCE system is referenced by some research reports [32,33]. The mathematic equations are described in Table 1.…”

Section: Heat and Moisture Transfer Model Of Clothingmentioning

confidence: 99%

A Novel Exercise Thermophysiology Comfort Prediction Model with Fuzzy Logic

Jia

Yang

et al. 2016

Mobile Information Systems

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Participation in a regular exercise program can improve health status and contribute to an increase in life expectancy. However, exercise accidents like dehydration, exertional heatstroke, syncope, and even sudden death exist. If these accidents can be analyzed or predicted before they happen, it will be beneficial to alleviate or avoid uncomfortable or unacceptable human disease. Therefore, an exercise thermophysiology comfort prediction model is needed. In this paper, coupling the thermal interactions among human body, clothing, and environment (HCE) as well as the human body physiological properties, a human thermophysiology regulatory model is designed to enhance the human thermophysiology simulation in the HCE system. Some important thermal and physiological performances can be simulated. According to the simulation results, a human exercise thermophysiology comfort prediction method based on fuzzy inference system is proposed. The experiment results show that there is the same prediction trend between the experiment result and simulation result about thermophysiology comfort. At last, a mobile application platform for human exercise comfort prediction is designed and implemented.

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P-smart—a virtual system for clothing thermal functional design

Cited by 40 publications

References 12 publications

Smart Clothing as a Noninvasive Method to Measure the Physiological Cardiac Parameters

Smart Clothing as a Noninvasive Method to Measure the Physiological Cardiac Parameters

On the Evolution of Thermoregulation Models

A Novel Exercise Thermophysiology Comfort Prediction Model with Fuzzy Logic

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