Pierola A, Epifanio I, Alemany S
Biomechanics Institute of Valencia, Universidad Politécnica de Valencia, Valencia 46022, Spain.
Dept. Matemàtiques and Institut de Matemàtiques i Aplicacions de Castelló, Universitat Jaume I, Castelló 12071, Spain.
Data Brief. 2017 Feb 16;11:311-315. doi: 10.1016/j.dib.2017.02.025. eCollection 2017 Apr.
A dataset of a fit assessment study in children is presented. Anthropometric measurements of 113 children were obtained using a 3D body scanner. Children tested a t-shirt of different sizes and a different model for boys and girls, and their fit was assessed by an expert. This expert labeled the fit as 0 (correct), -1 (if the garment was small for that child), or 1 (if the garment was large for that child) in an ordered factor called Size-fit. Moreover, the fit was numerically assessed from 1 (very poor fit) to 10 (perfect fit) in a variable called Expert evaluation. This data set contains the differences between the reference mannequin of the evaluated size and the child׳s anthropometric measurements for 27 variables. Besides these variables, in the data set, we can also find the gender, the size evaluated, and the size recommended by the expert, including if an intermediate, but nonexistent size between two consecutive sizes would have been the right size. In total, there are 232 observations. The analysis of these data can be found in Pierola et al. (2016) [2].
本文展示了一项针对儿童的合身性评估研究数据集。使用三维人体扫描仪获取了113名儿童的人体测量数据。儿童试穿了不同尺码以及不同款式的男女T恤，由一名专家对其合身性进行评估。该专家在一个名为“尺寸合身性”的有序因子中将合身性标记为0（合适）、-1（如果衣服对该儿童来说小了）或1（如果衣服对该儿童来说大了）。此外，在一个名为“专家评估”的变量中，合身性从1（非常不合身）到10（完美合身）进行数值评估。该数据集包含了所评估尺寸的参考人体模型与儿童27项人体测量数据之间的差异。除了这些变量，在数据集中，我们还能找到性别、所评估的尺寸以及专家推荐的尺寸，包括两个连续尺寸之间的中间但不存在的尺寸是否会是合适尺寸。总共有232条观测数据。这些数据的分析可见于皮耶罗拉等人（2016年）[2]的研究。
