Dimensions of the Dynamic Hand: Implications for Glove Design, Fit, and Sizing

Griffin, Linsey; Kim, Nokeyon; Carufel, Robin; Sokolowski, Susan L.; Lee, Heajoo; Seifert, Emily

doi:10.1007/978-3-319-94601-6_6

Cited by 18 publications

(16 citation statements)

References 9 publications

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“…To develop better performing products for the hand, the researchers are interested in building a more accessible 3D women's hand scan database and improving the relationship of the 3D scan data to product design. To date, the researchers have investigated methodology to collecting 3D hand scan data, 3D hand scan technology assessment, hand proportions as it relates to designing gloves from a sketch, dynamic hand scanning and a performance glove design process [4][5][6][7][8][9][10][11][12].…”

Section: D Anthropometric Hand Data Of Womenmentioning

confidence: 99%

Comparison of Glove Specifications, 3D Hand Scans, and Sizing of Sports Gloves for Athletes

Griffin¹,

Sokolowski²,

Savvateev³

et al. 2019

Proceedings of 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Gloves are used in many sports as a form of protective gear and to enhance performance. Inadequately fit gloves can be detrimental to an athlete's ability to perform. As the population of female athletes grows and diversifies, it is important to ensure glove fit and performance across the plethora of sports. Despite improvements in the availability of anthropometric data, measurements of the hand remain limited. In recent years, 3D scanning has improved to capture complexities of the hand. 3D scan data of the hand offers potential to improve the sizing, fit and design of gloves for sports. There is a need to better understand anthropometric hand data in relation to female athletes and sports activities to improve future glove fit standards and performance. The purpose of this study was to collect, compare, and analyze 3D hand scans (30 subjects) versus actual glove specifications and sizing of commonly used sports gloves. A close fitting golf glove (FootJoy Women's StaSof) was selected for comparison. Scans were taken of each subject's dominant hand (landmarked in 30 locations for accuracy) with the Occiptial Structure Sensor and iPad, and measured with Anthroscan software. Detailed specifications of the gloves that related to measurements of the hand were recorded and compared to the population measurements to determine how well the selected glove model fit each subject. To better serve diverse users, results suggest that traditional glove sizing is inadequate and more anthropometric data of the hand are needed to inform better glove sizing and fit. Based upon the findings of this study, future studies will be conducted to evaluate various glove brands and activities.

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Section: D Anthropometric Hand Data Of Womenmentioning

confidence: 99%

Comparison of Glove Specifications, 3D Hand Scans, and Sizing of Sports Gloves for Athletes

Griffin¹,

Sokolowski²,

Savvateev³

et al. 2019

Proceedings of 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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“…This traditional measurement approach to understanding how and where dimension change is occurring on the body is inadequate. Recent research comparing the body in different positions using 3D technology has improved our understanding of how linear measurements change, but the analysis continues to rely on traditional 1D anthropometric methods [1,2,7,8]. When using traditional methods to measure circumferences, despite significant visual shape change of the body, the overall circumference change between positions has been shown to be minimal [1,9].…”

Section: Dynamic Anthropometry Body Measurements and Shape Changementioning

confidence: 99%

“…Traditional landmark locations from the waist to the knee include: waist at front, back, left and right, the tenth rib, iliospinale anterius, max prominence, crotch level, maximum thigh, mid thigh and suprapatellar [10]. Many landmark methods have been developed to capture the body in a standard A-frame and dynamic postures, including the use 3D markers [1], stickers and markers [2,7], stamps [11], and light projection [12]. Incremental landmark spacing [2,8] and body crease lines [7] have also been used to track movement of the body.…”

Section: Landmarking and 3d Scanningmentioning

confidence: 99%

“…Many landmark methods have been developed to capture the body in a standard A-frame and dynamic postures, including the use 3D markers [1], stickers and markers [2,7], stamps [11], and light projection [12]. Incremental landmark spacing [2,8] and body crease lines [7] have also been used to track movement of the body. Limitations of these studies include scan positions, obstructed views, and/or no color mapping, which make it difficult to accurately track skin deformation.…”

Section: Landmarking and 3d Scanningmentioning

confidence: 99%

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Method to Capture and Analyze the Waist-Hip-Thigh Body Region of Seated-Standing 3D Scans

Griffin¹,

Juhnke²,

Seifert

et al. 2019

Proceedings of 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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The purpose of this research was to explore new methods of 3D scanning, body postures, and landmarking techniques to complete in-depth analyses of skin deformation, measurement change, and shape change of the waist-hip-thigh region of the body. There is a need to develop and test new integrated measurement analyses using 1D, 2D, and 3D data to quantify how and where the body is changing in different postures. An integrated approach was taken to select the appropriate 3D scanning technology, develop a landmarking method, and position the body to analyze the waist-hip-thigh region. A convenience sample of 11 women participated in the pilot study, ranging in age from 41-73. Using a quadrant landmarking technique, the body was divided into sections to locally analyze 1D and 2D measurements, while conducting volume and curve analysis to aid our understanding of shape change. Local percent change of each circumference was significant, and the data across the various measurements captured the expansion and shrinking of the body. Additionally, the 1D, 2D, and 3D analysis of the models shows the body deforming differently based on participant size, indicating this type of data could be critical for improved size system creation. The results from the extraction of curves represents exciting frontiers in 3D shape research and in the future will enable shape to be more easily incorporated into wearable garments. This data can improve the development of materials, trims, pattern design, and sizing systems. New 3D scanning methods to quantify diverse bodies can improve a company's competitive advantage through enhanced product fit and inclusive, quality design for all.

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“…New developments provide researchers with hand-held and portable capabilities that are affordable, and can accurately capture the form and dimensions of the hands [2]. New technology advancements also lend to the examination of the hand across a range of postures [3,4]. As the market and application for 3D hand scanning has improved, there is a need to develop methodology that produces a repeatable process and reliability data for product creation.…”

Section: Introductionmentioning

confidence: 99%

Process Considerations in 3D Hand Anthropometric Data Collection

Griffin¹,

Sokolowski²

2018

Proceedings of 3DBODY.TECH 2018 - 9th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Traditional hand anthropometric studies are missing several key measurements that are important to designing products and tools for the hand. Specific anthropometric hand data important for hand product design such as gloves include finger lengths, crotch depths, palm and padding, back of hand, and wrist opening; these measurements can improve dexterity, gripping, hand entry, adduction, abduction, squeezing, etc. in the design. The purpose of this paper was to develop a process and special considerations for 3D hand scanning that could help guide future researchers when conducting more robust 3D anthropometric studies for the hand, as related to product design. Over the course of two years, the authors of this paper have developed and refined a process considerations model for 3D hand scanning. The model was developed based on three previous 3D hand scanning studies and over 200 subjects' hand scans. The process considers the subject and population, the 3D technology, landmark methods, hand scanning positions, the scanning research design, scan analysis, and methods of hand-product visualization using 3D hand data. As technology improves, our processes for collecting data need to adapt. New 3D scanning technology enables a more robust collection of anthropometric, ergonomic, and design data for the hand. Future 3D hand anthropometric data and design research will have a profound impact on future glove and tool design for a range of fields and consumers. The application of the 3D hand scanning process considerations model will enable innovative anthropometric and ergonomic research for the hand to occur, and will ensure the collection of accurate and reliable 3D hand data.

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Dimensions of the Dynamic Hand: Implications for Glove Design, Fit, and Sizing

Cited by 18 publications

References 9 publications

Comparison of Glove Specifications, 3D Hand Scans, and Sizing of Sports Gloves for Athletes

Comparison of Glove Specifications, 3D Hand Scans, and Sizing of Sports Gloves for Athletes

Method to Capture and Analyze the Waist-Hip-Thigh Body Region of Seated-Standing 3D Scans

Process Considerations in 3D Hand Anthropometric Data Collection

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