Human-machine posture prediction and working efficiency evaluation of virtual human using radial basis function neural network

摘要：

A method using radial basis function neural network (RBF-NN) to calculate the virtual human working posture and ergonomics efficiency in human-machine system is proposed. Two RBF-NNs with appropriate structures are respectively constructed and trained by taking advantage of practical data to quantificationally predict both work-related posture and its working efficiency at any moment during the riveting process in aircraft assembly. The results show that the proposed method provides a reference method in ergonomics simulation and assessment leading to a better design of work.

关键词： artificial neural network virtual human posture prediction ergonomics assessment

作者: Huangjin Zhao Guolei Zheng Wenbiao Wen

作者单位: School of Mechanical Engineering and Automation Beijing University of Aeronautics and Astronautics Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 406-410

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）