A novel touch screen technology based on: Stochastic process theory and fuzzy logic approach

被引：0

作者：

Gianfelici, F ^{[1
]}

机构：

[1] Univ Politecn Marche, Dipartimento Elettron Intelligenza Artificiale &, I-60131 Ancona, Italy

来源：

Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications | 2005年

关键词：

touch screen technology; analogical resistive touch screen (ARTS); Stochastic process; fuzzy logic;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The growing interest for touch screen technologies is principally motivated by: the increasing use in electronic devices, and the demand of high interactivity in human-machine interfaces. The Analogical Resistive Touch Screens (ARTS) represent the actual best practices in this field: this aspect is principally imputable to their capabilities of nondeterminism regulation, and their accuracy. Nevertheless the increasing request of preciseness in the touched point identification, actually represents an open problem. In this paper a novel technique, based on joint use of stochastic process theory, and fuzzy-logic approach, is proposed. The effectiveness of this methodology is principally imputable to the coordination of information, data, and control parameters that derive by different levels of abstraction.

引用

页码：181 / 185

页数：5