首页> 外文会议>International conference on industrial and engineering applications of artificial intelligence and expert systems >The trajectory determination and the kinematic problem solving for a human arm movement: a neural network approach
【24h】

The trajectory determination and the kinematic problem solving for a human arm movement: a neural network approach

机译:轨迹确定与人臂运动的运动问题:神经网络方法

获取原文

摘要

The article is the result of a preliminary study concerning the possibility of simulating human arm movements. The research work will be continued on a larger scale in the frame of an European project -ANNIE: Artificial Neural Networks forIntegrated Ergonomics. The objective of the work was to implement a neural network based methodology for simulating human movements in order to check and ensure ergonomical properties in different environments like work cells, car and spacecraft interiors etc. If most of the studies are concerned with robot like movements, only a few have dealt with human movements. The neural networks potentiality is proved in this case, too: feed-forward nets are employed and the resilient propagation is used as training algorithm.
机译:本文是关于模拟人臂运动的可能性初步研究的结果。在欧洲项目 - annie的框架中继续进行研究工作:人工神经网络被融化的人体工程学。该工作的目的是实施基于神经网络的方法,用于模拟人类运动,以检查和确保不同环境中的符合人体工程学性质,如工作单元,汽车和航天器内饰等,如果大多数研究都与机器人相似,那么只有少数人处理人类运动。在这种情况下,证明了神经网络潜力:采用前馈网,并使用弹性传播作为训练算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号