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- Keyvani, Ali, 1978, et al.
(författare)
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Motion synthesizer platform for moving manikins
- 2012
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Ingår i: Advances in Applied Human Modeling and Simulation. - : CRC Press. - 9781439870327 - 9780979643552 ; , s. 545-554
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Digital Human Models are getting more applicable in simulation of the human postures/actions during different product development stages. Despite the existence of various modeling techniques, simulated motions are still looking unrealistic. It was identified that one promising way of generating more realistic motions is to use real human motion data as a source. A synthesizer platform is presented in this study which is able to store motions taken from real human in a database and synthesize new motions using already existing motions. The platform is also able to search the database, analyze the data, and feed the data to DHM tools. The platform functionality was tested within two areas: a) by composing new motions by combining the arm motions and walking motions from different subjects and b) by using analysis tools to compare generated motion in a commercial software against captured motions from real human. The obtained results show promising applications of the platform as it can be used to generate new motions and/or analyzing the motions.
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| 2. |
- Bertilsson, Erik, et al.
(författare)
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Assessment of manikin motions in IMMA
- 2012
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Ingår i: Advances in applied human modeling and simulation. - Boca Raton : CRC Press. - 9781439870310 - 9781439870327 - 9780429061943 ; , s. 235-244
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Bokkapitel (refereegranskat)abstract
- When evaluating human-machine interaction in a virtual environment using Digital human modelling (DHM) it is important to ensure that the predicted motions lie within the range of behavioural diversity for different people within a population. This paper presents a study in which a comparison is made between motions predicted by the DHM tool IMMA (Intelligently Moving Manikin) and motions from real humans stored in a motion database. Results show similar motions but the predicted motions were in total statistically significantly different compared to the motions performed by real persons. The differences are most likely due to the balance function and joint constraints that the IMMA tool uses for predicting motions. Differences can also be due to other factors, aside of body size, such as age, gender or strength that affects the movement behaviour.
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| 3. |
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| 4. |
- Keyvani, Ali, 1978-, et al.
(författare)
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Motion synthesizer platform for moving manikins
- 2012
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Ingår i: 2012 AHFE International Conference 21-25 July 2012 Hilton San Francisco, Union Square, California. - : AHFE. - 9780979643552 ; , s. 545-554
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Konferensbidrag (refereegranskat)
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| 5. |
- Mårdberg, Peter, et al.
(författare)
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Using ergonomic criteria to adaptively define test manikins for design problems
- 2012
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Ingår i: Advances in applied human modeling and simulation. - Boca Raton : CRC Press. - 9781439870310 - 9781439870327 ; , s. 265-274
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Bokkapitel (refereegranskat)abstract
- Digital manikins give a powerful aid in evaluating assembly station ergonomics. A proper verification of an assembly station can avoid costly changes that might occur later on due to injuries and discomfort among the workers.However, how to select relevant test manikins for an evaluation is a non-trivial task, since the work of identifying which anthropometric variables that are critical is a tedious and time consuming process.Usually only a few variables are selected as a base for building the test manikins. Even if there exist Digital Human Modeling (DHM) software which allow the user to evaluate batches of manikins, the designer still have to select the anthropometric variables of those batches. When several dimensions are considered, the designer have to either use a set of predefined manikins, or determine which anthropometric variables to test and generate manikins based on the confidence intervals of these variables.When considering more complex assembly tasks, is it then true that these predetermined test manikins cover all the cases, or does there exist manikins that suffer from bad ergonomics even though all the test manikins turned out well?In this paper, we propose a new algorithm for automatically building a set of test manikins. The set is iteratively constructed from the ergonomics results obtained by simulating the assembly operation. Different manikins perform the assembly operation and the ergonomics is evaluated. The anthropometric variables which affect the ergonomics are identified and used to iteratively build up the next manikin. In this way the test manikins are always selected throughout the whole set instead of only considering the boundary manikins, or assuming that the same set of predetermined manikins represents the entire set in every assembly operation.The algorithm has been compared with a boundary method, and the results shows that the algorithm can find manikins with worse ergonomics than those tested by the boundary method.
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