基于模糊推理的数据手套传感器建模方法  

A Modeling Method of Dataglove Sensors Based on Fuzzy Inference

作　　者：邹伟[1] 原魁[1] 杜清秀[1] 朱海兵[1] 

机构地区：[1]中国科学院自动化研究所高技术创新中心,北京100080

出　　处：《高技术通讯》2003年第10期75-78,共4页Chinese High Technology Letters

基　　金：国家自然科学基金 (6 0 2 730 2 8); 86 3计划 (2 0 0 1AA114 2 0 0 )资助项目

摘　　要：分析了应用于数据手套CASGlove上的传感器的性能和特点 ,提出了一种基于模糊推理的传感器建模方法 :首先利用模糊推理建立传感器的模型 ,然后利用采样数据进行离线学习确定模型中的参数。实验证明该方法在只获取传感器最小和最大两个标定值的情况下 。In this paper, the characteristics of sensors fixed on the CASGlove were analyzed and a novel method of sensor modeling was introduced, which was based on the fuzzy reasoning. First, the model of sensors was established by use of the fuzzy reasoning, then the parameters were obtained by the off line learning. The experiments showed that this method can reach the target which the piecewise linear interpolation can meet, but only needs two gauge points: the maximum value and the minimum value of the sensors.

关 键 词：模糊推理 数据手套 传感器 手语处理技术 建模 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]