16 citations
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June 2017 in “PLoS ONE” This small study reports that a 6-group geometric classification method is more reliable for classifying human hair curl, although a digital system could further reduce errors.
January 2016 in “Belarusian State Pedagogical University repository (Belarusian State Pedagogical University)” This research suggests that geometric classification of hair into fewer groups may be more reliable and useful for studying hair characteristics, rather than racial descriptions, especially in medical and forensic applications.
This study used quantitative methods to identify new geometric and mechanical parameters of curly and kinky/coily hair, aiming to improve classification and develop better personal care products for these hair types.
This study identified new geometric and mechanical parameters for curly and kinky/coily hair, which may inform more effective personal care products tailored to these hair types.
11 citations
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February 2019 in “Frontiers in Physiology” This review explores the complex interrelationships among different properties of natural hair fibers and underscores the need for a holistic taxonomy to improve data interpretation across disciplines, but it reports no new experimental results.