Human-machine interaction intention recognition technology based on D-S evidence theory

摘要：

　　Human intention recognition plays an important role in human-machine collaboration.In this paper,the intention recognition method for target capture is studied,a vision based method is used in the human-computer interaction,and the trajectory of the bodys upper extremity is taken as the main criterion.The user interaction intention model is established by using the multi-dimension judging factor.Then the target fast judging algorithm is optimised by adopted the D-S theory to realize the intention factor fusion.Experiment results show that the intention-identification method proposed in this paper can quickly and accurately identify the operators grasping intentions and serve human-computer collaboration.The comparison experiments show that the multi-dimensional factor intention identification method is more accurate and more effective than the single factor method.

关键词： Intention recognition D-S theory machine vision human-robot collaboration

作者: Xueyuan ZHANG Liping YU Ge LIU Di ZHAO

作者单位: School of Mechanical Engineering,HBUT,Wuhan

会议类型: 国际会议

会议名称: The 17th International Conference on Sustainable Energy Technologies(SET2018)(第17届可持续能源技术国际会议暨2018世界著名科学家来鄂讲学武汉论坛)

会议地点: 武汉

会议语种:英文

页码: 276-284

在线出版日期: 2018-08-21（万方平台首次上网日期，不代表论文的发表时间）