RAMSIS kognitiv als Instrument zur Analyse und Auslegung von Sichtbedingungen

Remlinger, Wolfram; Bengler, Klaus

doi:10.1007/978-3-662-50459-8_13

Cited by 4 publications

(2 citation statements)

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“…Digital human models are no exception to this. Current models used for vehicle design focus on ingress/egress (Björkenstam et al, 2020;Lu et al, 2013;Reed et al, 2010;Robert et al, 2013) , sight (Marshall et al, 2020;Remlinger & Bengler, 2016) or the driving task (Bubb et al, 2006;Bubb et al, 2021;Reed et al, 2006). To predict the take-over, a method is needed for predicting directed grasping movements.…”

Section: Introductionmentioning

confidence: 99%

Improved modeling approach for the usage of mixed linear effects models in empirical digital human models

Fleischer

2022

Proceedings of the 7th International Digital Human Modeling Symposium -

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When designing the interior of automated cars, it is necessary to take the non-driving related tasks and the take-over maneuver into account. These take-overs are critical moments since the driver needs to take back control of the vehicle as fast as possible. To facilitate this, interior designers need to design the cabin with enough space to carry out this movement. This paper presents a revised modelling approach using mixed linear effects models to predict the grasping movement of the hand during take-over scenarios. A study with 52 participants doing grasping movements was carried out to model the data obtained via motion capture. The participants were instructed to carry out movements from predefined grasping elements mounted in front of them. The trajectory of the hand was recorded using a marker-based motion capturing system. It is observed that the trajectories can be assumed as a two-dimensional phenomenon, since they seem to lie on one plane. Thus, the trajectories were modeled as a 1+2-dimensional problem. A onedimensional model for the plane and a second two-dimensional model for the trajectory. The model of grasping trajectory described in this paper was modeled using 4 th degree polynomials. In older approaches, the trajectory was modeled in four different models for each constant of the polynomial. In this paper a new modeling approach is used to merge the polynomial into one model. This increased the R²m and R²c drastically and led to three major discoveries on the nature of human grasping movements: Task factors, such as grasping handle and handle position, play the major role in the grasping trajectory. Body height plays a role in the modelling of hand trajectories. Gender, age, and dominant hand show only negligible influence on the trajectory. Other individual human factors not evaluated in this study do not seem to heavily influence the hand movement.

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Section: Introductionmentioning

confidence: 99%

Improved modeling approach for the usage of mixed linear effects models in empirical digital human models

Fleischer

2022

Proceedings of the 7th International Digital Human Modeling Symposium -

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“…Non-driving related activities human models are no exception to this. Current models used for vehicle design focus on ingress/egress (Björkenstam et al, 2020;Lu et al, 2013;Reed et al, 2010;Robert et al, 2013) , sight (Marshall et al, 2020;Remlinger & Bengler, 2016) or the driving task (Bubb et al, 2006;Bubb et al, 2021;Reed et al, 2006). To predict the take-over, a method is needed for predicting directed grasping movements.…”

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 -

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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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Tool Development for Ergonomic Design of Automated Vehicles

Wirsching

Fleischer

2021

Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)

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RAMSIS kognitiv als Instrument zur Analyse und Auslegung von Sichtbedingungen

Cited by 4 publications

References 4 publications

Improved modeling approach for the usage of mixed linear effects models in empirical digital human models

Improved modeling approach for the usage of mixed linear effects models in empirical digital human models

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

Tool Development for Ergonomic Design of Automated Vehicles

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