Abstract
Methods to conduct large-scale anthropometric studies to capture civilian measurements are inefficient and expensive. Industrial engineering principles were applied to improve the data capture process to build comprehensive datasets. The goal was to transform the raw materials (the participant) into a tangible product (anthropometric data) with minimal waste (time, equipment, and space). Traditional elements of an anthropometric study were evaluated based on how the study was conducted. Developed methods were applied to a study capturing scans of 398 participants over 7 days. Participants continually flowed through the study stations and completed it in 23.09 min on average. The study cost $34.18 per participant, compared to a traditional anthropometric study cost of $46.95 per participant. The results present the value of applying industrial engineering principles to anthropometric study design to improve the quality and accessibility of data used for human factors analyses and product design.
Research was supported by the Minnesota Agricultural Experiment Station, and the National Institute of Food and Agriculture, U.S. Department of Agriculture, Hatch under MIN-53-088.
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Juhnke, B., Pokorny, C., Griffin, L., Sokolowski, S. (2020). Lend a Hand for 3D Scans: Scanning Methodology and Data Collection for Tool and Glove Design. In: Di Bucchianico, G., Shin, C., Shim, S., Fukuda, S., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1202. Springer, Cham. https://doi.org/10.1007/978-3-030-51194-4_74
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