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Craniometric Measurement Data for Caribbean Healthcare Workers

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ieee-dataport.org2025-01-15 收录
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A craniometry study was undertaken to obtain anthropometric measurements of three hundred and five (305) medical staff within Trinidad & Tobago which is a twin island republic situated in the Caribbean. A non-contact measurement method was used involving 3D scanning equipment to record the geometry of each subject’s head as a digital file. The digital files were then processed using CAD software to obtain measurements for twenty-two (22) facial points of interest. In addition, the gender of each staff member was recorded. The anthropometric data was required in order to design properly sized and safe head gear and related equipment for use by medical staff. The data set represents the repository of the craniometric measurements which included: head height; head breadth; head length; head circumference; face length; lower face length; sellion-bottom lip length; bottom lip-menton length; nasal bridge-menton length; nasal bridge-chin length; chin-menton length; nose length; nose protrusion; face width; chin width; nasal root breadth; maximum nasal bridge breadth; nose width; lip width; bitragion-menton arc; bitragion-subnasal arc; bizygomatic-menton arc.In executing the analysis of the facial measurements, several opportunities for further work became evident:Investigation of the twenty-one (21) facial feature measurements to create fit panels for the Caribbean population.Further research on the impact of other demographic factors such as age, gender or ethnicity on facial feature.

一项头围测量学研究被开展,旨在获取特立尼达和多巴哥三百零五(305)名医务人员的体测量数据。特立尼达和多巴哥是一个位于加勒比海的由两个岛屿组成的共和国。本研究采用非接触式测量方法,利用三维扫描设备记录每位受试者头部的几何形状,并将其作为数字文件保存。随后,通过计算机辅助设计(CAD)软件对这些数字文件进行处理,以获取二十二(22)个面部关键点的测量数据。此外,还记录了每位医务人员的性别。这些体测量数据的需求是为了设计适合尺寸且安全适用的头盔及相关设备,供医务人员使用。该数据集构成了头围测量数据的存储库,包括:头部高度、头部宽度、头部长度、头部周长、面部长度、下颌长度、顶骨底至下唇长度、下唇至颏长度、鼻梁至颏长度、鼻梁至下巴长度、下巴至颏长度、鼻长、鼻突起、面部宽度、下巴宽度、鼻根宽度、最大鼻梁宽度、鼻宽、唇宽、颧骨底至颏弧、颧骨底至鼻底弧、颧骨至颏弧。在执行面部测量分析的过程中,显现出进一步研究的几个机会:研究二十一(21)个面部特征测量以为加勒比地区人口创建适配面板,以及对年龄、性别或种族等其他人口统计学因素对面部特征的影响进行深入研究。
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