Skilled Trades Anthropometric Database (Personal Protective Equipment/Assistive Tech)
Skilled Trades Anthropometric Database (Personal Protective Equipment/Assistive Tech)
Built updated, occupation-specific body-specific body dimension data, filling critical gaps for inclusive design of exoskeletons, Personal Protective Equipment, and assistive technologies for Canada’s diverse workforce
Funding: Funded by National Science and Engineering Research Council.
What did this Project Set Out to Do?
Personal protective equipment (PPE), tools, and assistive technologies are essential for safety and productivity in the skilled trades. However, poor fit and mismatched design remain common issues, contributing to discomfort, reduced effectiveness, injury risk, and productivity losses. A key factor underlying these problems is the lack of anthropometric databases that accurately represent the physical diversity of the modern skilled trades workforce.
This project aimed to address that gap by examining how anthropometric databases are currently constructed and by developing evidence‑informed guidance for creating databases that are inclusive, representative, and suitable for application in PPE, tool, and assistive technology design. Rather than focusing on a single measurement method or population, the project sought to identify best practices that support the design of products and systems capable of accommodating the cultural, ethnic, occupational, and physical diversity present in contemporary workforces.
How was the Research Done?
This project was based on two complementary literature reviews that together examined both the current state of anthropometric data collection and the process required to build a high‑quality, representative database.
1. Review of Anthropometric Data Collection Methods
The first component reviewed peer‑reviewed literature to identify methods used to construct anthropometric databases and their implications for inclusive design. The review compared traditional manual measurement techniques with emerging technologies such as 3D and 4D body scanning. Manual measurements were found to be the most commonly used approach, largely due to their lower cost and long‑standing methodological traditions. However, recent studies point to growing interest in advanced scanning technologies for capturing more comprehensive and detailed body shape data.
This review also examined limitations in existing databases, particularly the lack of representation across key population characteristics.
2. Development of an Anthropometric Database Protocol
The second component synthesized international standards, guidelines, and common practices to develop a structured protocol for creating anthropometric databases. The protocol outlines stages before, during, and after data acquisition, including:
- Identification of critical population factors such as age, sex/gender, ethnicity, geographic location, and occupation
- Sample size calculation and recruitment strategies to ensure representativeness
- Selection of measurement approaches, including manual tools and 3D/4D scanning technologies
- Requirements for equipment, space, and trained personnel
- Standardized measurement procedures to maintain accuracy and consistency
- Data storage, processing, presentation, and privacy protections
Ethical considerations were embedded throughout each stage of the protocol.
What did the Project Discover?
Across both reviews, a consistent finding emerged: many existing anthropometric databases do not adequately represent the diversity of the populations they are intended to serve, and many do not fully adhere to available international standards.
Key issues identified included:
- Limited representation of different ethnic, cultural, and occupational groups
- Inconsistent data collection and reporting methods across sources
- Variable adherence to international measurement standards and protocols
- Underutilization of newer technologies that may improve accuracy and inclusivity
At the same time, the research highlighted practical opportunities. Manual measurement remains a viable and accessible method, while advances in 3D and 4D scanning technologies offer promising avenues for capturing more nuanced body shape data. Importantly, database quality depends less on a single technology and more on intentional design choices related to sampling, standardization, and ethics.
Key Applications
The outcomes of this project support several applied uses across skilled trades and related sectors:
- Informing the design and selection of PPE, tools, and assistive technologies that better fit diverse workers
- Supporting manufacturers and employers in adopting evidence‑informed design processes
- Providing a practical protocol for developing population‑specific anthropometric databases
- Enhancing safety, comfort, and productivity by reducing mismatch between workers and equipment
By emphasizing representativeness, standardization, and ethical data practices, the project helps bridge the gap between research and real‑world design applications.
Why Does This Matter?
As the skilled trades workforce becomes increasingly diverse, reliance on outdated or unrepresentative anthropometric data poses both safety and equity risks. Ill‑fitting PPE and poorly designed tools can undermine protection, increase injury risk, and disproportionately disadvantage segments of the workforce.
This project reframes anthropometric data as a foundational component of inclusive safety and productivity systems. By providing guidance on how to build high‑quality, representative databases, the research supports the development of PPE and assistive technologies that protect all workers, not just those who fit historical “average” assumptions. In doing so, it contributes to safer, more effective, and more inclusive skilled trades workplaces.
