Ambient air pollution can have a negative effect on different aspects of personal health e.g. lungs skins. According to the World Health Organization, six major air pollutants include particle pollution, ground-level ozone, carbon monoxide, sulphur oxides, nitrogen oxides, and lead. Long and short term exposure to air pollution can have different toxicological impacts on different people e.g. respiratory and cardiovascular diseases, neuropsychiatric complications, irritation of the eyes, skin diseases, long-term chronic diseases such as cancer. Recent developments in sensor technology have made it possible to better measure personal exposure to environmental air pollution. Smart clothing integrates micro sensors into fabric for collecting and monitoring environmental and human data. However, there are significant outstanding challenges around effectiveness, ease of wear (i.e. sensor size, location, layout of any cabling, battery life, ease of removal), impact on fashion style, operability and cost. Understanding the changing relationship between pollution levels and the potential impact on personal health during the course of a day would be of great interest to a wide range of stakeholders. This project will develop a pollution monitoring product design framework in which personal sensors attached to clothing can monitor different aspects of pollution levels and present them so as to be of value in evaluating the impact on personal health.
Lin, Chung-Chih ; Yang, Chih-Yu ; Zhou, Zhuhuang ; Wu, Shuicai, Intelligent health monitoring system based on smart clothing, International journal of distributed sensor networks, 2018-08, Vol.14 (8), p.155014771879431
De Nazelle, A.; Seto, E.; Donaire-Gonzalez, D.; Matamala, J.; Rodriguez, D. Nieuwenhuijsen, M.; Jerrett, M. Improving estimates of air pollution exposure through ubiquitous sensing technologies. Environmental Pollution. 2013, 176, 92–99
Perry, A., Malanin, L., Sanders, E., Li, Y., Leigh, K., Explore consumer needs and design purposes of smart clothing from designers’ perspectives, International Journal of Fashion Design, Technology and Education, 2017 Vol. 10, NO. 3, 372–380 https://doi.org/10.1080/17543266.2016.1278465
Successful candidates will have a good understanding of product design using sensor technology and data science and a ideally some awareness of different type of air pollution and its relationship to personal health.
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