Abstract
This research aims to set the size of a customer who doesn’t have knowledge of clothing easily by the input of height and weight and recommend clothing while shopping. The method is simply calculating the minimum deviation by comparing the precise measurements of the customer with the measurements of ready-made products. Most clothing shopping malls indicate size of clothing, but it is not sufficient to be used by customers who don’t have much knowledge of clothing. Therefore, the seller of clothing at a shopping mall can enter the tags in the shopping mall size coding system immediately and recommend the most appropriate size of ready-made clothing product to the customer through automatic comparison by the system. The 3 length scales and 3 girth scales have been selected for the comparison of clothing measurements: shoulder width, sleeve length and slacks length for length scales and chest girth, waist line and hip girth for girth scales. The length values are calculated automatically by the height value put in by the customer, and the girth values can be calculated by the clothing size made with the proportion of height and weight. The length and girth data per size and the data of appropriate size per height and weight are saved in advance, and then the data of the least deviance from the values entered by the customer is brought out. Such data entered by customers is expected to be used for the study of classification of human body by converting it into saved data regularly. It can be also used for production of clothing by showing precise measurements when personal customization service is attempted.
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Yuan, Y., Huh, JH. (2019). Cloth Size Coding and Size Recommendation System Applicable for Personal Size Automatic Extraction and Cloth Shopping Mall. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_94
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DOI: https://doi.org/10.1007/978-981-13-1328-8_94
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