首页> 外文会议>2010 20th International Conference on Pattern Recognition >Prototype-Based Methodology for the Statistical Analysis of Local Features in Stereotypical Handwriting Tasks
【24h】

Prototype-Based Methodology for the Statistical Analysis of Local Features in Stereotypical Handwriting Tasks

机译:基于原型的定型手写任务局部特征统计分析方法

获取原文

摘要

A three steps methodology is proposed to derive consistent sets of local features which may be easily compared between the different samples of a stereotypical human handwriting movement, allowing the statistical analysis its local variability. This technique is illustrated using the Sigma-Lognormal modeling of on-line triangular trajectory patterns obtained from a standardized neuromuscular task. The overall approach can be adapted and generalized to the analysis of the end-effector kinematics of many planar upper limb movements.
机译:提出了一种三步方法来导出局部特征的一致集合,这些局部特征可以很容易地在定型人类笔迹运动的不同样本之间进行比较,从而可以对其局部变异性进行统计分析。使用从标准化神经肌肉任务获得的在线三角轨迹模式的Sigma-Lognormal建模来说明此技术。整个方法可以适应和推广到许多平面上肢运动的末端执行器运动学分析中。

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