UMN X Toyota Dynamic Hand Anthropometry Database
Team: Emily Seifert, Vanessa Segura, Tse-Hsun Kuo, Linsey Griffin, Peeyush Kumar and Kelsey Hitt of the Toyota Corporation
Program: Human Dimensioning Lab
Reliable 3D dynamic anthropometric data for the hands are needed to improve the fit and design of workspace for diverse populations of occupational workers throughout industrial manufacturing spaces. The purpose of this research and development was to create a multi-functional database of 3D hand scans in a variety of positions of industrial workers. The collaborative research included three research phases: procedure development, data collection and processing, and data analysis. Additionally, 3D hand scans were analyzed to understand advanced anthropometric measurements of the hand, understand measurement change in different positions, and to understand volume and space considerations for hand work.
The dataset is meant to be a resource to foster basic understanding of dynamic hand dimensions of an industrial workforce in North America, as well as a toolbox to apply the data into safe and efficient workspace solutions. The procedure included demographics, manual measurements, landmarking the hand and 3D scanning the hand in four positions: splayed, pinch, grasp, and thumb push. Analysis included traditional linear anthropometry, surface measurements, and space measurements. Data was collected from 336 workers across 2 manufacturing facilities in the United States and includes a database of 1344 scans (4 positions per worker).
Keywords: anthropometry, database creation, corporate partnerships
Funders: Toyota Corporation
