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Longitudinal Shoe Study: TekScan Mat Scanner Data

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DataCite Commons2020-08-27 更新2025-04-09 收录
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https://iastate.figshare.com/articles/Longitudinal_Shoe_Study_TekScan_Mat_Scanner_Data/8018612/1
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资源简介:
Images, CSV files, Video, and CSV-like video frame records of 160 participants on a pressure-sensing mat. Data were recorded with and without the participant wearing shoes (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each) in the study. The files also include associated measurements and data about shoe wear, surfaces, and wearers.<br><br><br>The pressure scan data is only available for the initial time-point, that is, for shoes that are brand new. <br> <br><br>The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the Method_Image_Replicate coding outlined in the README.<br><br><br>These files may be used to supplement analysis of the shoe print data over time; we expect that there will be some correspondance between wear pattern development and the distribution of pressure on the foot and shoe sole as the participant walks across the mat.

本数据集包含160名参与者在压力传感垫(pressure-sensing mat)上活动时采集的图像、逗号分隔值(Comma-Separated Values,CSV)文件、视频以及类CSV格式的视频帧记录。本研究采集了参与者穿鞋与不穿鞋两种状态下的数据,所使用鞋款为"Nike Winflo 4"与"Adidas Seeley",每种鞋款各提供4种尺码。 压力扫描数据仅可获取初始时间节点的数据,即全新未使用的鞋子对应的扫描数据。 本数据集附带3个与图像配套的CSV文件,分别用于记录鞋款信息、到访信息(即随鞋款收集的问卷调研数据)以及单张图像的相关信息。代码手册(codebooks)中包含了各CSV文件内变量的详细说明,同时还对README文件中提及的Method_Image_Replicate编码规则进行了更为详尽的阐释。 该数据集可用于补充鞋印数据的长期分析;我们推测,当参与者在传感垫上行走时,足部与鞋底的压力分布变化,与鞋印磨损模式的演变之间存在一定关联。
提供机构:
Iowa State University
创建时间:
2019-12-10
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