Body Models of Law Enforcement Officers for Cruiser Cab Accommodation Simulation
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2024/05/01
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Description:Objectives: This study developed multivariate law enforcement officer (LEO) body models for digital simulation of LEO accommodation in police cruiser cabs. Background: Anthropometrically accurate digital LEO body models, representing the United States LEOs, for computerized LEO cruiser interface simulations are lacking. Methods: 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. Results: 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. Conclusions: 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. Application: 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. [Description provided by NIOSH]
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ISSN:0018-7208
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Volume:66
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Issue:5
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NIOSHTIC Number:nn:20066380
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Citation:Hum Factors 2024 May; 66(5):1350-1386
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Contact Point Address:Hongwei Hsiao, Texas A&M University - Corpus Christi, 6300 Ocean Dr, Corpus Christi, TX 78412, USA
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Email:hongwei.hsiao@tamucc.edu
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Federal Fiscal Year:2024
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Peer Reviewed:True
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Source Full Name:Human Factors
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Main Document Checksum:urn:sha-512:e84efb1abdf53563414ced8a5b8dd6a1e44ae46d8d9c4ec753b524d9c0cb259155b616da85dc27c3f20d0ed092230bb6592e49d2afb1ab5053ab76c6fac56df7
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