Statistical Posture Prediction of Vehicle Occupants in Digital Human Modelling Tools

Brolin, Erik; Högberg, Dan; Nurbo, Pernilla

doi:10.1007/978-3-030-49904-4_1

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…Thus, even with possibly accurate predictions of where the mid-7th International Digital Human Modeling Symposium (DHM 2022) 5 hip should be placed, ergonomics designers may modify the manikin's position and posture until the manikin body shape looks appropriately aligned to the automotive seat and realistically represents a humanvehicle interaction. Brolin et al (2020) introduced DHM functionality which uses the mid-hip to H-point relationship from Park et al (2016) together with constraints and adjustment ranges of vehicle components to statistically predict seated driving postures. Even though the results were promising, initial comparisons of such predictions with data from user tests showed some differences, which indicates that further research is needed.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…However, these tools still present some limitations for this application. Current human posture and motion predictions in DHM tools are not accurate enough for the precise nature of vehicle interior design, hence typically requiring manual adjustments from DHM users to get more accurate driving and passenger simulations (Bhise, 2016;Brolin et al, 2020). Manual adjustment processes can be time-consuming, tedious, and subjective, easily causing non-repeatable simulation results.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of hip joint location for occupant packaging design

Luque

Brolin

Lamb

et al. 2022

Proceedings of the 7th International Digital Human Modeling Symposium -

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DHM tools have been widely used to analyze and improve vehicle occupant packaging and interior design in the automotive industry. However, these tools still present some limitations for this application.Accurately characterizing seated posture is crucial for ergonomic and safety evaluations. Current human posture and motion predictions in DHM tools are not accurate enough for the precise nature of vehicle interior design, typically requiring manual adjustments from DHM users to get more accurate driving and passenger simulations. Manual adjustment processes can be time-consuming, tedious, and subjective, easily causing non-repeatable simulation results. These limitations create the need to validate the simulation results with real-world studies, which increases the cost and time in the vehicle development process.Working with multiple Swedish automotive companies, we have begun to identify and specify the limitations of DHM tools relating to driver and passenger posture predictions given predefined vehicle geometry points/coordinates and specific human body parts relationships. Two general issues frame the core limitations. First, human kinematic models used in DHM tools are based on biomechanics models that do not provide definitions of these models in relation to vehicle geometries. Second, vehicle designers follow standards and regulations to obtain key human reference points in seated occupant locations.However, these reference points can fail to capture the range of human variability. This paper describes the relationship between a seated reference point and a biomechanical hip joint for driving simulations. The lack of standardized connection between occupant packaging guidelines and the biomechanical knowledge of humans creates a limitation for ergonomics designers and DHM users. We assess previous studies addressing hip joint estimation from different fields to establish the key aspects that might affect the relationship between standard vehicle geometry points and the hip joint. Then we suggest a procedure for standardizing points in human models within DHM tools. A better understanding of this problem may contribute to achieving closer to reality driving posture simulations and facilitating communication of ergonomics requirements to the design team within the product development process.

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Section: Problem Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of hip joint location for occupant packaging design

Luque

Brolin

Lamb

et al. 2022

Proceedings of the 7th International Digital Human Modeling Symposium -

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, even with possibly accurate predictions of where the mid-hip should be placed, ergonomics designers may modify the manikin's position and posture until the manikin body shape looks appropriately aligned to the automotive seat and realistically represents a humanvehicle interaction. Brolin et al (2020) introduced DHM functionality which uses the mid-hip to H-point relationship from Park et al (2016) together with constraints and adjustment ranges of vehicle components to statistically predict seated driving postures. Even though the results were promising, initial comparisons of such predictions with data from user tests showed some differences, which indicates that further research is needed.…”

Section: Problem Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Proceedings of the 7th International Digital Human Modeling Symposium, Aug. 29-31, 2022, Iowa City, Iowa, USA

2022

Proceedings of the 7th International Digital Human Modeling Symposium -

View full text Add to dashboard Cite

Digital human models are usually constructed to study the human anatomical or topological features and its variance and to optimize the size and shape of various products and tasks. Therefore, most of the researchers focussed on developing accurate three-dimensional digital human models based on surface mesh using various methods and techniques. However, such models do not allow biomechanical and ergonomic analyses of product interface materials that are in direct contact with the user. Based on manual testing using various materials and analysing the subjective response of users, researchers have shown that product interface material has an important impact on the overall product safety, comfort and even performance. Basic ergonomic and biomechanical guidelines regarding the material choice were provided based on the findings, however detailed material choice and even material parameter determination has not been studied, evaluated, and discussed due to the complex biomechanical systems and lack of appropriate digital human models.To overcome these limitations, numerical methods, especially the finite element method has been already used in the past by several authors. Finite element method allows calculating of various results in terms of internal stresses and contact pressure, deformations, and displacements, however it requires accurate development of numerical digital human models that accurately represent the anatomical, topological, material properties and boundary conditions.In this paper we present theoretical background and provide methodology for successful development of numerical digital human models that can be used for biomechanical analyses and product material ergonomic improvement. This is presented with a case study of the development of a numerical digital human finger model for ergonomic improvement of the biomechanical response of a product handle deformable interface material. Based on the developed numerical model, a novel deformable interface material is analysed that reduces the resulting contact pressure during grasping and provides more uniform pressure distribution while still providing sufficient stability.

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Statistical Posture Prediction of Vehicle Occupants in Digital Human Modelling Tools

Cited by 2 publications

References 15 publications

Simulation of hip joint location for occupant packaging design

Simulation of hip joint location for occupant packaging design

Proceedings of the 7th International Digital Human Modeling Symposium, Aug. 29-31, 2022, Iowa City, Iowa, USA

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