Posture Prediction Based on Orthogonal Interactive Genetic Algorithm

Authors:
Zhanxun Dong;Juanfang Xu;Ning Zou;Chunlei Chai
Affiliations:
-;-;-;-
Venue:
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 01
Year:
2008

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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.