Proposal of an Intuitive Interface Structure for Ergonomics Evaluation Software

Pascual, Aitor Iriondo; Högberg, Dan; Kolbeinsson, Ari; Castro, Pamela Ruiz; Mahdavian, Nafise; Hanson, Lars

doi:10.1007/978-3-319-96068-5_32

Cited by 1 publication

(1 citation statement)

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“…More accurate simulations with detailed data such as joint torque actuations enable more comprehensive evaluations of the biomechanical load regarding muscle activity and possible fatigue in DHM tools. In parallel to the development of DHM tools, able to produce more advanced simulations and evaluations, systems and sensors for direct measurement of motions and muscle activity, have become better, cheaper and easier to use [53], [54], [55]. These systems, with small sensors connected using the concept of IoT, gives possibilities of more advanced and detailed analysis on an individual level.…”

Section: Dhm With Diverse Anthropometric Data By Cluster Analysismentioning

confidence: 99%

Digital Human Modelling: Inclusive Design and the Ageing Population

Marshall

Brolin

Summerskill

et al. 2022

Internet of Things for Human-Centered Design

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Digital Human Modelling (DHM) is a tool that allows humans to be modelled in 3-dimensional CAD. An almost infinite variety of humans can be modelled and families of so-called manikins can be created to act as virtual user groups, evaluating the interactions between humans and products, workplaces and environments. This chapter introduces the concept of DHM, its use of, and reliance on, anthropometric data from national populations, and showcases two exemplar tools in SAMMIE and IPS IMMA. Case studies are presented that highlight the advantages DHM can bring to understanding the requirements of designing for the ageing population; covering designing for the ageing workforce, the exploration of transport accessibility, and how users can generate representative manikin families to properly represent the diversity of people. DHM is demonstrated to be a powerful tool for practitioners aiming to understand and design for people, including older people within society.

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Section: Dhm With Diverse Anthropometric Data By Cluster Analysismentioning

confidence: 99%