Hsiao Hongwei, Kau Tsui Ying, Whisler Richard, Zwiener Joyce
Texas A&M University, Corpus Christi, Texas, USA.
National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia, USA.
Hum Factors. 2024 May;66(5):1350-1386. doi: 10.1177/00187208221140220. Epub 2022 Nov 14.
This study developed multivariate law enforcement officer (LEO) body models for digital simulation of LEO accommodation in police cruiser cabs.
Anthropometrically accurate digital LEO body models, representing the United States LEOs, for computerized LEO cruiser interface simulations are lacking.
Twenty body dimensions (with and without gear combined) of 756 male and 218 female LEOs were collected through a stratified national survey using a data collection trailer that traveled across the US. A multivariate Principal Component Analysis (PCA) approach was used to develop digital LEO body models.
Fifteen men and 15 women representing unique body size and shape composition of the LEO population were identified. A combined set of 24 male and female models (removal of 6 redundant models for which female and male models overlapped) is suggested.
A set of 24 digital LEO body models in 3-dimensional form, along with their anthropometric measurements, were developed to facilitate LEO cruiser cab design.
Digital modeling software developers can use the models and their anthropometric data to build digital avatars for simulated evaluation of LEO cruiser cab configuration, console communication-equipment fitting, and cruiser ingress/egress access arrangement. LEO vehicle and equipment designers also can use eight key body dimensions (i.e., stature, buttock-popliteal length, eye height sitting, knee height sitting, shoulder-grip length, popliteal height, sitting height, and body weight) of the body models to recruit 24 human subjects to physically evaluate their vehicle prototypes for improved vehicle and equipment design.
本研究开发了多变量执法人员（LEO）身体模型，用于对执法人员在警车驾驶室中的适应性进行数字模拟。
目前缺乏能够代表美国执法人员、在计算机化的执法人员与警车界面模拟中使用的、人体测量学精确的数字执法人员身体模型。
通过一项分层全国性调查，使用一辆在美国各地行驶的数据收集拖车，收集了756名男性和218名女性执法人员的20项身体尺寸（包括着装和不着装）。采用多变量主成分分析（PCA）方法开发数字执法人员身体模型。
确定了15名男性和15名女性，他们代表了执法人员群体独特的身体尺寸和形状构成。建议使用一组24个男性和女性模型（去除6个女性和男性模型重叠的冗余模型）。
开发了一组24个三维数字执法人员身体模型及其人体测量数据，以促进警车驾驶室设计。
数字建模软件开发人员可以使用这些模型及其人体测量数据来构建数字替身，用于对执法人员警车驾驶室配置、控制台通信设备安装以及警车进出通道布置进行模拟评估。执法人员车辆和设备设计师也可以使用身体模型的八个关键身体尺寸（即身高、臀-腘长度、坐姿眼高、坐姿膝高、肩-握长度、腘高、坐姿高度和体重）来招募24名受试者，对他们的车辆原型进行实际评估，以改进车辆和设备设计。
