A novel head gesture recognition means in the human-wheelchair interaction

摘要：

As an intelligent human-wheelchair interaction ways, head gesture becomes one of the most pop research topics, and the head gesture recognition is an important aspect of the interactions. In this paper, kalman filter forecast the lips position detected by Adaboost algorithm may be appeared in the next frames first, and then detect the lips in the next frame. Compare the lips window position with a fixed point to confirm the head gesture correspondingly. Kalman filter overcome detect all the possible lips position by just use the Adaboost algorithm in every frame, greatly improve the lips detection precision and reduce the detection time, solve the wheelchairs time delay.

关键词： component: Kalman filter human-wheelchair interaction Adaboost algorithm

作者: Yuan Luo Zhang-fang Hu Lin li yizhang

作者单位: Chongqing University of Posts and Telecommunications Research Center of Intelligent System and Robot Chongqing University of Posts and Telecommunications Research Center of Intelligent System and Robe

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 555-559

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）