Anthropometrics and ergonomics assessment in the IMMA manikin
Kapitel i bok, 2010

Digital Human Modeling (DHM) tools are useful for simulating human work and proactively evaluating ergonomic conditions. IMMA (Intelligently Moving Manikin) is a project that aims to develop software that combines digital human modeling and path planning. The work in the IMMA project is divided into a number of work packages that gradually increases the complexity of the problem. This postcr paper regards both the functionality for crgonomics assessment and consideration of anthropometric diversity in the DHM tool bcing developed. Reviews of current DHM tools and interviews with DHM uscrs and ergonomics specialists were done to clarify problems, needs and opportunities when working with anthropometrics and ergonomics evaluations. Intcrviews showed that simulations and following cvaluations are almost solely bascd on static postures and with few human models. The main reason for this is claimed to be complex and time consuming processes when creating and evaluating simulations. Both the review of current DHM tools and the interviews confirmed that there is an evident need for more time-dependant evaluation methods and a better coverage of the intended users’ diversity. Attained knowledge from the analysis of cunent DHM tools and interviews are used to create work processes and two specific modules intended to be implemented in the new IMMA DHM tool. Key issues for the modules are ease of use and flexibility. The overall objective with the IMMA DHM system is to offer a tool that support faster and more conect ergonomics analyses.

Anthropometry

Digital human modeling

Evaluation

Ergonomics

Simulation

Work process

Författare

Erik Svensson

Högskolan i Skövde

Industri- och materialvetenskap

Erik Bertilsson

Högskolan i Skövde

Industri- och materialvetenskap

Dan Högberg

Högskolan i Skövde

Lars Hanson

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

Scania CV AB

Advances in Applied Digital Human Modeling

139-144

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Systemvetenskap

Datavetenskap (datalogi)

DOI

10.1201/EBK1439835111

Mer information

Senast uppdaterat

2020-04-01