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Brolin, E., Mahdavian, N., Högberg, D., Hanson, L. & Johansson, J. (2019). Possibilities and challenges for proactive manufacturing ergonomics. In: Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita (Ed.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining. Paper presented at 20th Congress of the International Ergonomics Association (IEA 2018), Florence, August 26-30, 2018 (pp. 11-20). Cham: Springer
Open this publication in new window or tab >>Possibilities and challenges for proactive manufacturing ergonomics
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2019 (English)In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining / [ed] Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita, Cham: Springer, 2019, p. 11-20Conference paper, Published paper (Refereed)
Abstract [en]

This paper identifies and describes product development activities where ergonomics issues could be considered and illustrates how that could be done through a number of different approaches. The study is divided into two parts where an interview study is done to identify where in a product development process consideration of ergonomics issues are or could be done. The second part of the study includes an observation, motion capture and simulation study of current manufacturing operations to evaluate and compare three different assessment approaches; observational based ergonomics evaluation, usages of motion capture data and DHM simulation and evaluation. The results shows the importance of consideration of ergonomics in early development phases and that the ergonomics assessment process is integrated in the overall product and production development process.

Place, publisher, year, edition, pages
Cham: Springer, 2019
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 825
Keywords
Proactive, Ergonomics, Manufacturing, digital human modelling, Process
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics
Identifiers
urn:nbn:se:his:diva-16205 (URN)10.1007/978-3-319-96068-5_2 (DOI)2-s2.0-85052059498 (Scopus ID)978-3-319-96067-8 (ISBN)978-3-319-96068-5 (ISBN)
Conference
20th Congress of the International Ergonomics Association (IEA 2018), Florence, August 26-30, 2018
Projects
Virtual Ergonomics Assessment Process (VEAP)
Funder
Knowledge Foundation, 20160292
Available from: 2018-09-14 Created: 2018-09-14 Last updated: 2018-09-17Bibliographically approved
Högberg, D., Brolin, E. & Hanson, L. (2018). Concept of Formalized Test Procedure for Proactive Assessment of Ergonomic Value by Digital Human Modelling Tools in Lean Product Development. In: Cassenti, Daniel N. (Ed.), Advances in Human Factors in Simulation and Modeling: Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling. Paper presented at 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), July 17–21, 2017, Los Angeles, California, USA (pp. 425-436). Cham, Switzerland: Springer, 591
Open this publication in new window or tab >>Concept of Formalized Test Procedure for Proactive Assessment of Ergonomic Value by Digital Human Modelling Tools in Lean Product Development
2018 (English)In: Advances in Human Factors in Simulation and Modeling: Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling / [ed] Cassenti, Daniel N., Cham, Switzerland: Springer, 2018, Vol. 591, p. 425-436Conference paper, Published paper (Refereed)
Abstract [en]

A concept of a formalized test procedure for proactive assessment of ergonomic value by digital human modelling (DHM) tools in lean product development (LPD) is proposed and described. The objective of the formalized procedure is to integrate the utilization of DHM tools in LPD and to support the delivery of ergonomic value and reduce waste in product and production development processes. A design process model is illustrated and described, and examples are given of how to specify and work with ergonomic value in the process.

Place, publisher, year, edition, pages
Cham, Switzerland: Springer, 2018
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 591
Keywords
Digital human modelling, DHM, Ergonomics, Lean product development, LPD, Design, Process, Assessment, Formalized, Test procedure
National Category
Other Engineering and Technologies
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-13993 (URN)10.1007/978-3-319-60591-3 (DOI)2-s2.0-85021403938 (Scopus ID)978-3-319-60590-6 (ISBN)978-3-319-60591-3 (ISBN)
Conference
8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), July 17–21, 2017, Los Angeles, California, USA
Projects
3D-SILVERVirtual Verification of Human-Robot CollaborationVirtual Driver Ergonomics
Funder
VINNOVA, 2015-01451VINNOVA, 2015-03719Knowledge Foundation, 20160296
Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-11-27Bibliographically approved
Högberg, D., Ruiz Castro, P., Mårdberg, P., Delfs, N., Nurbo, P., Fragoso, P., . . . Hanson, L. (2018). DHM Based Test Procedure Concept for Proactive Ergonomics Assessments in the Vehicle Interior Design Process. In: Sebastiano BagnaraRiccardo TartagliaSara AlbolinoThomas AlexanderYushi Fujita (Ed.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume V: Human Simulation and Virtual Environments. Paper presented at 20th Congress of the International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy (pp. 314-323). Cham, Switzerland: Springer
Open this publication in new window or tab >>DHM Based Test Procedure Concept for Proactive Ergonomics Assessments in the Vehicle Interior Design Process
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2018 (English)In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume V: Human Simulation and Virtual Environments / [ed] Sebastiano BagnaraRiccardo TartagliaSara AlbolinoThomas AlexanderYushi Fujita, Cham, Switzerland: Springer, 2018, p. 314-323Conference paper, Published paper (Refereed)
Abstract [en]

The development of a digital human modelling (DHM) based test procedure concept for the assessment of physical ergonomics conditions in virtual phases of the vehicle interior design process is illustrated and discussed. The objective of the test procedure is to be a valuable tool for ergonomic evaluations and decision support along the design process, so that ergonomic issues can be dealt with in an efficient, objective and proactive manner. The test procedure is devised to support companies in having stable and objective processes, in accordance with lean product development (LPD) philosophies. The overall structure and fundamental functionality of the test procedure concept is explained by a simplified use case, utilizing the DHM tool IPS IMMA to: define manikin families and manikin tasks; predict manikin motions; and visualize simulations and ergonomics evaluation outcomes.

Place, publisher, year, edition, pages
Cham, Switzerland: Springer, 2018
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 822
Keywords
Digital human modelling, Ergonomics, Design, Vehicle Interior, Assessment, Test Procedure, Lean product development
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics
Identifiers
urn:nbn:se:his:diva-16141 (URN)10.1007/978-3-319-96077-7_33 (DOI)2-s2.0-85052082936 (Scopus ID)978-3-319-96076-0 (ISBN)978-3-319-96077-7 (ISBN)
Conference
20th Congress of the International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy
Projects
Virtual Driver Ergonomics
Funder
Knowledge Foundation, 20160296
Available from: 2018-09-04 Created: 2018-09-04 Last updated: 2018-09-05Bibliographically approved
Rhén, I.-M., Forsman, M., Örtengren, R., Högberg, D., Keyvani, A., Lämkull, D. & Hanson, L. (2018). Ergonomic risk assessment in DHM tools employing motion data: Exposure calculation and comparison to epidemiological reference data. International Journal of Human Factors Modelling and Simulation, 6(1), 31-64
Open this publication in new window or tab >>Ergonomic risk assessment in DHM tools employing motion data: Exposure calculation and comparison to epidemiological reference data
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2018 (English)In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 6, no 1, p. 31-64Article in journal (Refereed) Published
Abstract [en]

Digital human modelling (DHM) allows ergonomic risk assessment to be performed at early stages of design and development. Such assessment is typically based on observational methods, which do not take advantage of the potential of DHM tools to provide precise posture and motion data. This paper describes and illustrates an alternative assessment approach employing DHM tools, inspired by risk assessment based on direct measurements. A literature survey established a reference database of epidemiological associations between exposure and wrist-related disorders. This approach is illustrated by a DHM simulation of a car assembly task. Wrist posture and motion were simulated and compared to the database, predicting the prevalence of work-related musculoskeletal disorders on the basis of direct measurements.

Place, publisher, year, edition, pages
Olney: InderScience Publishers, 2018
Keywords
biomechanical load, digital human modelling, wrist, repetitive strain injuries, direct measurements, exposure-response relationship, physical workload, work-related musculoskeletal disorders, risk assessment
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-15108 (URN)10.1504/IJHFMS.2018.10012500 (DOI)
Projects
CROMMVirtual Verification of Human-Robot Collaboration3D-SILVER
Funder
VINNOVA, 2012-04584, 2015-03719, 2015-01451
Available from: 2018-04-29 Created: 2018-04-29 Last updated: 2018-05-16Bibliographically approved
Iriondo Pascual, A., Högberg, D., Kolbeinsson, A., Ruiz Castro, P., Mahdavian, N. & Hanson, L. (2018). Proposal of an Intuitive Interface Structure for Ergonomics Evaluation Software. In: Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita (Ed.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining. Paper presented at International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy (pp. 289-300). Cham: Springer, 825
Open this publication in new window or tab >>Proposal of an Intuitive Interface Structure for Ergonomics Evaluation Software
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2018 (English)In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VIII: Ergonomics and Human Factors in Manufacturing, Agriculture, Building and Construction, Sustainable Development and Mining / [ed] Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita, Cham: Springer, 2018, Vol. 825, p. 289-300Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, different technologies and software for ergonomics evaluations are gaining greater relevance in the field of ergonomics and production development. The tools allow users such as ergonomists and engineers to perform assessments of ergonomic conditions of work, both related to work simulated in digital human modelling (DHM) tools or based on recordings of work performed by real operators. Regardless of approach, there are many dimensions of data that needs to be processed and presented to the users.

The users may have a range of different expectations and purposes from reading the data. Examples of situations are to: judge and compare different design solutions; analyse data in relation to anthropometric differences among subjects; investigate different body regions; assess data based on different time perspectives; and to perform assessments according to different types of ergonomics evaluation methods. The range of different expectations and purposes from reading the data increases the complexity of creating an interface that considers all the necessary tools and functions that the users require, while at the same time offer high usability.

This paper focuses on the structural design of a flexible and intuitive interface for an ergonomics evaluation software that possesses the required tools and functions to analyse work situations from different perspectives, where the data input can be either from DHM tools or from real operators while performing work. 

Place, publisher, year, edition, pages
Cham: Springer, 2018
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 825
Keywords
Ergonomics, Interface, Data Management
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-16185 (URN)10.1007/978-3-319-96068-5_32 (DOI)2-s2.0-85052146989 (Scopus ID)978-3-319-96067-8 (ISBN)978-3-319-96068-5 (ISBN)
Conference
International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy
Projects
Smart Textiles for a Sustainable Work Life
Note

This work has been made possible with the support from Vinnova/UDI in Sweden, in the project Smart Textiles for a Sustainable Work Life, and by the participating organizations. This support is gratefully acknowledged.

Available from: 2018-09-11 Created: 2018-09-11 Last updated: 2018-09-24Bibliographically approved
Brolin, A., Brolin, E. & Högberg, D. (2018). Second cycle education program in virtual ergonomics and design. In: Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita (Ed.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VII: Ergonomics in Design. Paper presented at 20th Congress of the International Ergonomics Association (IEA 2018), Florence, August 26-30, 2018 (pp. 1058-1065). Cham: Springer
Open this publication in new window or tab >>Second cycle education program in virtual ergonomics and design
2018 (English)In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume VII: Ergonomics in Design / [ed] Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita, Cham: Springer, 2018, p. 1058-1065Conference paper, Published paper (Refereed)
Abstract [en]

Current product and production development tends to become more complex where principal design decisions are made in very early development phases when product data only exist in virtual formats. To support this virtual product realisation process there exist a number of tools and technologies. Considering ergonomics and human factors in an increasingly complex process with often complex tools requires competent people able to handle multidisciplinary development challenges in a proactive manner. To answer the need for educational programs to cover these issues the School of Engineering Science at University of Skövde has developed a new master (second cycle) program Virtual Ergonomics and Design. The aim with the program is to give students and future product and production developers, necessary knowledge and skills to effectively use virtual tools for analysis, development, and verification of ergonomics and integrate ergonomics and user aspects into the product realisation process. This is achieved through a number of courses that partly forms a core within the subject Virtual product realisation but also provides in-depth knowledge in ergonomics. Students will in a possible future role as design or production engineers have a great influence on ergonomics in manufacturing departments but also better perception of ergonomics, higher motivation and knowledge of support tools and methods for ergonomics integration.

Place, publisher, year, edition, pages
Cham: Springer, 2018
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 824
Keywords
Master program, Virtual Ergonomics, Design, Product realisation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics
Identifiers
urn:nbn:se:his:diva-16206 (URN)10.1007/978-3-319-96071-5_108 (DOI)2-s2.0-85052304263 (Scopus ID)978-3-319-96070-8 (ISBN)978-3-319-96071-5 (ISBN)
Conference
20th Congress of the International Ergonomics Association (IEA 2018), Florence, August 26-30, 2018
Available from: 2018-09-14 Created: 2018-09-14 Last updated: 2018-09-17Bibliographically approved
Ruiz Castro, P., Högberg, D., Ramsen, H., Bjursten, J. & Hanson, L. (2018). Virtual Simulation of Human-Robot Collaboration Workstations. In: Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita (Ed.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control. Paper presented at International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy (pp. 250-261). Springer, 822
Open this publication in new window or tab >>Virtual Simulation of Human-Robot Collaboration Workstations
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2018 (English)In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume V: Human Simulation and Virtual Environments, Work With Computing Systems (WWCS), Process Control / [ed] Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita, Springer, 2018, Vol. 822, p. 250-261Conference paper, Published paper (Refereed)
Abstract [en]

The constant call in manufacturing for higher quality, efficiency, flexibility and cost effective solutions has been supported by technology developments and revised legislations in the area of collaborative robots. This allows for new types of workstations in industry where robots and humans co-operate in performing tasks. In addition to safety, the design of such collaborative workstations needs to consider the areas of ergonomics and task allocation to ensure appropriate work conditions for the operators, while providing overall system efficiency. The aim of this study is to illustrate the development and use of an integrated robot simulation and digital human modelling (DHM) tool, which is aimed to be a tool for engineers to create and confirm successful collaborative workstations. An assembly scenario from the vehicle industry was selected for its redesign into a collaborative workstation. The existing scenario as well as potential collaborative concepts are simulated and assessed using a version of the simulation tool IPS IMMA. The assembly use case illustrates the capabilities of the tool to represent and evaluate collaborative workstations in terms of ergonomics and efficiency assessments.

Place, publisher, year, edition, pages
Springer, 2018
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 822
Keywords
Human-robot collaboration, Digital human modelling, Ergonomics, Virtual simulation, Collaborative workstations
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-16149 (URN)10.1007/978-3-319-96077-7_26 (DOI)2-s2.0-85052130622 (Scopus ID)978-3-319-96076-0 (ISBN)978-3-319-96077-7 (ISBN)
Conference
International Ergonomics Association (IEA 2018), August 26-30, 2018, Florence, Italy
Projects
Virtual Verification of Human-Robot Collaboration
Note

Acknowledgment

This work has been carried out within the Virtual Verification of Human-Robot Collaboration project, supported by VINNOVA/FFI and by the participating organizations. This support is gratefully acknowledged. Special thanks goes to Victoria Gonzalez, Volvo Trucks and FCC (Fraunhofer-Chalmers Centre).

Available from: 2018-09-06 Created: 2018-09-06 Last updated: 2018-09-06Bibliographically approved
Björkenstam, S., Nyström, J., Carlson, J. S., Roller, M., Linn, J., Hanson, L., . . . Leyendecker, S. (2017). A framework for motion planning of digital humans using discrete mechanics and optimal control. In: Sascha Wischniewski & Thomas Alexander (Ed.), Proceedings of the 5th International Digital Human Modeling Symposium: . Paper presented at 5th International Digital Human Modeling Symposium, Bonn Germany, June 26-28, 2017 (pp. 64-71). Federal Institute for Occupational Safety and Health
Open this publication in new window or tab >>A framework for motion planning of digital humans using discrete mechanics and optimal control
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2017 (English)In: Proceedings of the 5th International Digital Human Modeling Symposium / [ed] Sascha Wischniewski & Thomas Alexander, Federal Institute for Occupational Safety and Health , 2017, p. 64-71Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present a framework for digital human modelling using discrete mechanics and optimal control. Discrete mechanics is particularly well suited for modelling the dynamics of constrained mechanical systems, which is almost always the case when considering complex human models interacting with the environment. We demonstrate that, by using recently developed recursive dynamics algorithms, we are able to efficiently use discrete mechanics in direct optimal control methods to plan for complex motions. Besides a proper mechanical model, an appropriate objective function is paramount to achieve realistic motions as a solution to an optimal control problem. Hence, several different objective functions, such as for example minimum time or minimum applied torque over the joints, are compared, and the resulting motions are analyzed and evaluated. To further improve the model, we include basic muscular models for the muscles of the shoulder, arm and wrist, and examine how this affects the motions.

Place, publisher, year, edition, pages
Federal Institute for Occupational Safety and Health, 2017
Keywords
Optimal control, discrete mechanics, human motion planning
National Category
Other Engineering and Technologies
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-14054 (URN)
Conference
5th International Digital Human Modeling Symposium, Bonn Germany, June 26-28, 2017
Projects
CROMM
Funder
VINNOVA, 2012-04584
Available from: 2017-08-30 Created: 2017-08-30 Last updated: 2017-11-27Bibliographically approved
Brolin, E., Högberg, D., Hanson, L. & Örtengren, R. (2017). Adaptive regression model for prediction of anthropometric data. International Journal of Human Factors Modelling and Simulation, 5(4), 285-305
Open this publication in new window or tab >>Adaptive regression model for prediction of anthropometric data
2017 (English)In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 5, no 4, p. 285-305Article in journal (Refereed) Published
Abstract [en]

This paper presents and evaluates an adaptive linear regression model for the prediction of unknown anthropometric data based on a flexible set of known predictive data. The method is based on conditional regression and includes use of principal component analysis to reduce effects of multicollinearity between the predictive variables. Results from the study show that the proposed adaptive regression model produces more accurate predictions compared to a flat regression model based on stature and weight, and also compared to a hierarchical regression model, that uses geometric and statistical relationships between body measurements to create specific linear regression equations in a hierarchical structure. An additional evaluation shows that the accuracy of the adaptive regression model increases logarithmically with the sample size. Apart from the sample size, the accuracy of the regression model is affected by the number of, and on which measurements that are, variables in the predictive dataset.

Place, publisher, year, edition, pages
InderScience Publishers, 2017
Keywords
anthropometry, multivariate, regression, conditional, PCA, capability, digital human modelling, DHM
National Category
Other Engineering and Technologies
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-14201 (URN)10.1504/IJHFMS.2017.10008080 (DOI)
Projects
CROMMVirtual Driver Ergonomics
Available from: 2017-10-05 Created: 2017-10-05 Last updated: 2018-02-01Bibliographically approved
Brolin, E., Högberg, D., Hanson, L. & Örtengren, R. (2017). Adaptive regression model for synthesizing anthropometric population data. International Journal of Industrial Ergonomics, 59, 46-53
Open this publication in new window or tab >>Adaptive regression model for synthesizing anthropometric population data
2017 (English)In: International Journal of Industrial Ergonomics, ISSN 0169-8141, E-ISSN 1872-8219, Vol. 59, p. 46-53Article in journal (Refereed) Published
Abstract [en]

This paper presents the development of an adaptive linear regression model for synthesizing of missing anthropometric population data based on a flexible set of known predictive data. The method is based on a conditional regression model and includes use of principal component analysis, to reduce effects of multicollinearity between selected predictive measurements, and incorporation of a stochastic component, using the partial correlation coefficients between predicted measurements. In addition, skewness of the distributions of the dependent variables is considered when incorporating the stochastic components. Results from the study show that the proposed regression models for synthesizing population data give valid results with small errors of the compared percentile values. However, higher accuracy was not achieved when the number of measurements used as independent variables was increased compared to using only stature and weight as independent variables. This indicates problems with multicollinearity that principal component regression were not able to overcome. Descriptive statistics such as mean and standard deviation values together with correlation coefficients is sufficient to perform the conditional regression procedure. However, to incorporate a stochastic component when using principal component regression requires raw data on an individual level.

Relevance to industry

When developing products, workplaces or systems, it is of great importance to consider the anthropometric diversity of the intended users. The proposed regression model offers a procedure that gives valid results, maintains the correlation between the measurements that are predicted and is adaptable regarding which, and number of, predictive measurements that are selected.

Keywords
Anthropometry, Regression, Multivariate, Conditional, PCA, Variance
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-13505 (URN)10.1016/j.ergon.2017.03.008 (DOI)000401600600005 ()2-s2.0-85015082844 (Scopus ID)
Funder
VINNOVA, 2012-04584
Available from: 2017-04-19 Created: 2017-04-19 Last updated: 2017-11-27Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4596-3815

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