TY - JOUR
T1 - Workspace zone differentiation and visualization for virtual humans
AU - Yang, J.
AU - Sinokrot, T.
AU - Abdel-Malek, K.
AU - Beck, S.
AU - Nebel, K.
N1 - Funding Information:
This research is funded by the US Army TACOM project: Digital Humans and Virtual Reality for Future Combat Systems (FCS), and Caterpillar Inc project: Digital Human Modeling and Simulation for Safety and Serviceability. We would like to thank Dr. Tim Marler for finalizing posture prediction code and graduate students Amos Patrick and Jason Olmstead-Muhs for helping the visualization code.
PY - 2008/3
Y1 - 2008/3
N2 - Human performance measures such as discomfort and joint displacement play an important role in product design. The virtual human Santos™, a new generation of virtual humans developed at the University of Iowa, goes directly to the computer-aided design model to evaluate a design, saving time and money. This paper presents an optimization-based workspace zone differentiation and visualization. Around the workspace of virtual humans, a volume is discretized to small zones and the posture prediction on each central point of the zone will determine whether the points are outside the workspace as well as the values of different objective functions. Visualization of zone differentiation is accomplished by showing different colours based on values of human performance measures on points that are located inside the workspace. The proposed method can subsequently help ergonomic design. For example, in a vehicle's interior, the controls should not only lie inside the workspace, but also in the zone that encloses the most comfortable points. Using the palette of colours inside the workspace as a visual guide, a designer can obtain a reading of the discomfort level of product users.
AB - Human performance measures such as discomfort and joint displacement play an important role in product design. The virtual human Santos™, a new generation of virtual humans developed at the University of Iowa, goes directly to the computer-aided design model to evaluate a design, saving time and money. This paper presents an optimization-based workspace zone differentiation and visualization. Around the workspace of virtual humans, a volume is discretized to small zones and the posture prediction on each central point of the zone will determine whether the points are outside the workspace as well as the values of different objective functions. Visualization of zone differentiation is accomplished by showing different colours based on values of human performance measures on points that are located inside the workspace. The proposed method can subsequently help ergonomic design. For example, in a vehicle's interior, the controls should not only lie inside the workspace, but also in the zone that encloses the most comfortable points. Using the palette of colours inside the workspace as a visual guide, a designer can obtain a reading of the discomfort level of product users.
KW - Human performance measures
KW - Optimization-based method
KW - Virtual humans
KW - Workspace
KW - Zone differentiation
UR - http://www.scopus.com/inward/record.url?scp=47349127617&partnerID=8YFLogxK
U2 - 10.1080/00140130701685642
DO - 10.1080/00140130701685642
M3 - Article
C2 - 18311614
AN - SCOPUS:47349127617
SN - 0014-0139
VL - 51
SP - 395
EP - 413
JO - Ergonomics
JF - Ergonomics
IS - 3
ER -