Apparel Design Criteria: Anthropometric Measurement on Standard Sizing for Elderly Women with Physical Disabilities
DOI:
https://doi.org/10.61841/dmqahr62Keywords:
Design Criteria, Smart Apparel, Anthropometric Measurement, Disabled Elderly.Abstract
Smart apparel design considers an anthropometric measurement of normal sizing as significant criteria for the elderly people with disabilities. Stroke or half body paralysis is the prevalent condition sufferers experience and this group appears to have trouble moving through their everyday life due to changes on their body. The aim of this study is to establish standard sizing chart that follows the correct proportion of elderly women with disabilities. A case study was performed in Kajang, Malaysia, at Old Folks Home Centre. In this case, three different sizes of the body with the same state of illness were examined and analysed. It is for the elderly women to obtain an exact standard scale. The aim of this standard sizing study is to produce the correct body sizing chart for the elderly disabled age 65 and above. As a result, this anthropometric measurement provides a standard body sizing chart for elderly women with disabilities that can be used in the development of functional apparel product for another stage of the design process.
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[1] Alrabghi, L., Alnemari, R., Aloteebi, R., Alshammari, H., Ibrahim, M. Al, Alotayfi, M., Bugshan, T., Alfaifi, A., and Aljuwayd, H. Stroke types and management. International Journal of Community Medicine and Public Health 2018, 5(9), 3–7.
[2] Caldas, A., Carvalho, M., Lopes, H., & Souza, M. Ergonomic clothing design for care-dependent elderly women, 2005.
[3] Chi, L., & Kennon, R. Body scanning of dynamic posture. International Journal of Clothing Science and Technology, 2005.
[4] Chih, H. H. An empirical study of an internet marketing strategy for search engine optimization. Human Factors and Ergonomics in Manufacturing, 2006, 16(1), 61–81.
[5] Colombo, P. J., Crawley, M. E., East, B. S., & Hill, A. R. Aging and the brain. Encyclopedia of Human Behavior. 2012, pp. 53–59.
[6] Ellis, K. J. Human body composition: In vivo methods. Physiological Reviews, 2000, 80(2), 649–680.
[7] Erkan, I. A system proposal for rapid detecting of anthropometric data and affecting design strategies. Journal of Engineering Design and Technology, 2019.
[8] Esfandarani, M. S., & Shahrabi, J. Developing a new suit sizing system using data optimization techniques, 2012, 24(1), 27–35.
[9] Gupta, D. Design and engineering of functional clothing. Indian Journal of Fibre & Textile Research, 2011, 36, 327–335.
[10] Gupta, D., & gangadhar, B. A statistical model for developing body size charts for garments. International Journal of Clothing Science and Technology, 2015.
[11] Howlett, M. The criteria for effective policy design: Character and context in policy instrument choice. Journal of Asian Public Policy, 2018, 11(3), 245–266.
[12] Jenkins, H. Classification of low back pain. Australasian Chiropractic & Osteopathy: Journal of the Chiropractic & Osteopathic College of Australasia, 2002, 10(2), 91-7.
[13] Karim, H. A. The elderly in Malaysia: Demographic trends. Medical Journal of Malaysia, 1997, 52(3), 206–212.
[14] Kwok, Y. Anthropometric measurement of premature infants. International Journal of Clothing Science and Technology, 2007, 19(5), 319–333.
[15] Laitala, K., Boks, C., & Klepp, I. G. Making clothing last: A design approach for reducing the environmental impacts. International Journal of Design, 2015, 9(2), 93–107.
[16] Qiu, C., & Hu, Y. The research and development of the future fashion design. American International Journal of Contemporary Research, 2014, 4(12), 126–130.
[17] Takebira, U., Mohibullah, A., & Samana, S. M. Standardization of standard size chart ( female size 6 to size 18 ) with secondary sizes. Journal of Fashion Technology & Textile Engineering, 2018.
[18] Winifred Aldrich. Metric pattern cutting for women’s wear (fifth edit). Blackwell Publishing, 2008.
[19] Zhao, C., Wong, L., Zhu, Q., & Yang, H. Prevalence and correlates of chronic diseases in an elderly population: A community-based survey in Haikou. Plos One, 2018, 13(6), 1–11.
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