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Posture Prediction Based on Orthogonal Interactive Genetic Algorithm

Authors :
Ning Zou
Zhanxun Dong
Juanfang Xu
Chunlei Chai
Source :
ICNC (1)
Publication Year :
2008
Publisher :
IEEE, 2008.

Abstract

The posture prediction is important in ergonomics evaluation system and virtual human animation. The posture choosing phase by human is a non-logical evolutionary approach, so we adapt orthogonal interactive genetic algorithm (OIGA) to calculate the weights of different factors which affect posture choosing. The case analysis of driving posture prediction and the application of the Ergonomics Driving Simulation System proves that OIGA can use a less interactive algebra to reach a higher value. So it is a feasibility and practicability algorithm.

Details

Database :
OpenAIRE
Journal :
2008 Fourth International Conference on Natural Computation
Accession number :
edsair.doi...........8ad129bf5aebde76ac9ba7d57cd0d0c0
Full Text :
https://doi.org/10.1109/icnc.2008.561