应用于数字化博物馆虚拟展示的人机交互系统研究作者:冯婷婷 荣智健夫人
穆洁竹粉
来源:《现代电子技术》2019年第15期大功率激光发射器
摘 ;要: 为了提高数字化博物馆虚拟展示的有效性和准确性,采用手势识别方法完成人机交互系统研究。对用户手势进行三维空间坐标系建模,在卡尔曼滤波之后进行稀疏表示优化,去掉与手势库样本集合关联性弱的无效手动滤除,生成博物馆展品展示动作轨迹。实验证明,优化后的算法在展品动作轨迹生成方面性能更优,运动误差更小,无效路径更少。 关键词: 闫安书法数字化博物馆; 虚拟展示; 人机交互; 运动误差; 卡尔曼滤波; 手势识别
中图分类号: TN99⁃34; TP393 ; ; ; ; ; ; ; ; ; ;公司法第二十一条文献标识码: A ; ; ; ; ; ; ; ; ; ; ;文章编号: 1004⁃373X(2019)15⁃0154⁃03
Research on human⁃computer interactive system applied
to virtual presentation of digital museum
FENG Tingting, MU Jie
(Hebei institute of Communations, Shijiazhuang 050000, China)
Absrtact: In order to improve the effectiveness and accuracy of the virtual presentation in digital museum,基尼系数 gesture recognition method is used to complete the research on human⁃machine interactive system. The user′s gesture is modeled for three⁃dimensional space coordinate system, and the sparse representation is optimized for the user′s gesture after Kalman filtering. The invalid manual filtering that is weakly correlated with the sample set of the gesture database is removed, and the motion trajectory of museum exhibits presentation is generated. Experiment results show that the optimized algorithm had better performance in the generation of exhibit motion trajectories, smaller motion errors and fewer invalid routes.