Reddy, Sarath and Sen, Dibakar (2008) Task Dependent Boundary Mannequins in Statistical DHM. In: SAE 11th Annual Digital Human Modeling for Design and Engineering Conference.Full text not available from this repository.
The primary objective of the paper is to make use of statistical digital human model to better understand the nature of reach probability of points in the taskspace. The concept of task-dependent boundary manikin is introduced to geometrically characterize the extreme individuals in the given population who would accomplish the task. For a given point of interest and task, the map of the acceptable variation in anthropometric parameters is superimposed with the distribution of the same parameters in the given population to identify the extreme individuals. To illustrate the concept, the task space mapping is done for the reach probability of human arms. Unlike the boundary manikins, who are completely defined by the population, the dimensions of these manikins will vary with task, say, a point to be reached, as in the present case. Hence they are referred to here as the task-dependent boundary manikins. Simulations with these manikins would help designers to visualize how differently the extreme individuals would perform the task. Reach probability at the points in a 3D grid in the operational space is computed; for objects overlaid in this grid, approximate probabilities are derived from the grid for rendering them with colors indicating the reach probability. The method may also help in providing a rational basis for selection of personnel for a given task.
|Item Type:||Conference Paper|
|Department/Centre:||Division of Mechanical Sciences > Centre for Product Design & Manufacturing|
|Date Deposited:||29 Sep 2011 10:21|
|Last Modified:||29 Sep 2011 10:21|
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