Anthropometric characterisation of palm and finger shapes to complement current glove-sizing systems

Vergara, Margarita; Agost, María-Jesús; Bayarri, Vicente

doi:10.1016/j.ergon.2019.102836

Cited by 15 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The findings show the similarities between the hand types identified by Vergara et al (2019) 32 and the finger length types in our study, although there are noticeable differences in the frequencies of each type. PS1-HS1, PS2-HS2, and PS3-HS3 types account for 19.4%, 22.3%, and 11.5% of the total participants, respectively.…”

Section: Classification By Finger Length Typesupporting

confidence: 88%

“…This observation has been supported by previous studies. For instance, Vergara et al 32 conducted an analysis of the variability in the lengths of metacarpals and fingers, proposing nine combinations of three palm shapes (PS) and three hand shapes (HS). Among these combinations, the PS1-HS1 type, characterized by a thumb-index predominant pattern, shows similarities to the Downhill type in our study.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, relative to these studies, Vergara et al 32 developed a classification system more closely related to the characteristics of smart hand wearables. They analyzed the metacarpal lengths and the length from the wrist point to the fingertips of 139 Spanish adults.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of a hand classification system for smart hand wearables

Hong

Kim

Choi

2023

Journal of Industrial Textiles

View full text Add to dashboard Cite

Research purpose: This study aimed to lay a research foundation for smart hand wearable design by classifying the right-hand data of 4545 adults aged 20 to 69. Further, to increase the practical applicability of the hand classification system, a hand type discrimination method and regression equations for the hand dimensions of each type were presented. Methods: This study statistically analyzed eighth Size Korea data with IBM SPSS Ver.26.0. Cluster analysis was performed to classify both finger length and circumference type. Discriminant analysis was conducted, yielding discriminant functions to aid potential smart hand wearable wearers in self-diagnosing their hand types. Linear regression analysis yielded regression equations for the detailed finger dimensions for the pattern-making of smart hand wearables. Results: The finger length type was categorized into four types: the Uphill type, Downhill type, Mountain type, and Horizon type for both men’s and women’s hands. The finger circumference type was categorized into two types, the Cone and Cylinder types, for both men’s and women’s hands. The discriminant function showed a mean accuracy rate of 89.9% and the regression equations a mean explanatory power of 72.9%. Conclusion: The hand classification system proposed in this study aimed to improve the fingertip fit of smart hand wearable products by analyzing the configuration of motion tracking gloves or haptic gloves. In addition, considering the practical applicability for both wearers and designers of smart hand wearables, a discrimination method of finger types for wearers’ self-diagnosis and regression functions of finger dimensions for designers’ pattern making were provided.

show abstract

Section: Classification By Finger Length Typesupporting

confidence: 88%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Development of a hand classification system for smart hand wearables

Hong

Kim

Choi

2023

Journal of Industrial Textiles

View full text Add to dashboard Cite

show abstract

“…From human factors and ergonomics (HFE) standpoint, hand anthropometry is beneficial for determining various design parameters for items that protect the hands (e.g., gloves), products that are controlled with the hands (e.g., remote control, mouse), and tools that are operated with the hands (e.g., screwdriver, hammer) (Lee & Jung, 2015; Vergara et al, 2018). Vergara et al, for example, reported on the hand anthropometry of the Mediterranean population for glove sizing (Vergara et al, 2019). Shahira et al also measured the hand dimensions of Bangladeshi agricultural farm workers, which will be used to design agricultural hand tools, machinery, and equipment (Shahriar et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Hand anthropometric dimensions and strengths in workers: A comparison of three occupations

Hajaghazadeh

Taghizadeh

Mohebbi

et al. 2022

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

The purpose of this study was to measure and compare the hand anthropometric dimensions and strengths of three different occupations. A cross-sectional study was designed to measure 34 hand dimensions and 4 hand strengths of 558 participants consisted of office workers, vehicle mechanics, and farmers. A digital caliper, a hand dynamometer, and a pinch meter were used to collect data. Percentile values for each measurement were tabulated at the 5th, 50th, and 95th percentile levels. The analysis of variance, t test, and Cohen's d were performed to assess the differences in anthropometric variables between groups of workers. The findings demonstrated statistically significant differences in the mean size and strength of the hands across three occupations. Office workers' hands were significantly smaller than those of car mechanics and farmers, particularly in terms of hand depths and widths. Car mechanics' hand circumferences were bigger than those of farmers.Office workers produced the weakest hand strengths. Wrist breadth of workers showed the highest correlation with hand strengths. Compared to other studies, the hands of Iranian workers were wider and thicker, but the length of their hands was similar. Given the significant variances in hand anthropometry between occupational categories, these differences should be incorporated into the design and selection of hand-related products such as gloves and hand tools for each group of workers.

show abstract

“…Several applications of anthropometry are reflected in a variety of reports and applications such as school furniture (Castellucci et al, 2016;Castellucci et al, 2014, Castellucci et al, 2015aMokdad and Al-Ansari, 2009), agricultural tools (Dewangan et al, 2010;Syuaib, 2015bSyuaib, , 2015a, car assembly (Castellone et al, 2017), personal protective equipment (Choi et al, 2009;Coblentz et al, 1991;Hsiao, 2013;Laing et al, 1999;K. M. Robinette and Branch, 2008;Stirling, 2005;Vergara et al, 2019), public transport seats (Molenbroek et al, 2017;Porta et al, 2019), domestic settings (Dawal et al, 2015) and even space shuttles and suits (NASA, 1978).…”

Section: Introductionmentioning

confidence: 99%

Applied anthropometry for common industrial settings design: Working and ideal manual handling heights

Castellucci

Viviani

Arezes

et al. 2020

International Journal of Industrial Ergonomics

View full text Add to dashboard Cite

Anthropometry has been used extensively for designing safe and sustainable products and workplaces. However, it is common that designers need straightforward guidelines and dimensions, which they often lack, for specific design situations. Anthropometric data are usually presented in tables that summarize percentile values, separated by gender, of a specific population, which makes it difficult for designers to generate applications for mixed populations, such as industrial settings. Using a recently collected anthropometric database of Chilean workers (male and female), international standards of dimensions for working height, depth, and ideal manual handling height are tested with univariate and bivariate methods. Alternative dimensions are presented for both adjustable and non-adjustable designs. Additionally, procedures to combine samples, and for knowing how many users match with a particular design are explained using the sample data. As expected, adjustable designs proved to match with higher numbers of users, while non-adjustable dimensions recommended by ISO presented low levels of matching. Furthermore, the non-adjustable design achieved 83% of matching, which increased to the desired levels (90%) with the inclusion of a 50 mm increase platform. Finally, the Z-Score equation proved to be a useful tool to know the percentages of the population that are matched with a particular design dimension. Relevance for the industry: Dimensions for working height, depth, and ideal manual handling heights, which are currently not available, are provided for Chilean workers. A method to determine the matching percentage in a population is explained, in order to assess matching probabilities when having only summarized anthropometric tables and the dimensions for the design itself.

show abstract

Anthropometric characterisation of palm and finger shapes to complement current glove-sizing systems

Cited by 15 publications

References 38 publications

Development of a hand classification system for smart hand wearables

Development of a hand classification system for smart hand wearables

Hand anthropometric dimensions and strengths in workers: A comparison of three occupations

Applied anthropometry for common industrial settings design: Working and ideal manual handling heights

Contact Info

Product

Resources

About