人体学输入设备轨迹识别与功能增强  

Enhancing Human Input Device Features Based on Orbit Recognition

作　　者：魏为民[1] 孙易[1] 孔志伟[1] 

机构地区：[1]上海电力学院计算机科学与技术学院,上海200090

出　　处：《上海电力学院学报》2016年第3期277-282,共6页Journal of Shanghai University of Electric Power

基　　金：上海市自然科学基金(11ZR1414300);上海市教育委员会科研创新项目(11YZ194)

摘　　要：随着机器学习技术在轨迹识别中的广泛应用,提出了一种基于人工神经网络的浏览器鼠标手势扩展算法.该算法通过对轨迹进行分类并与动作建立映射来实现鼠标手势功能,可有效地识别各种复杂的轨迹并准确执行相应的动作.实验结果表明,该方法明显提高了用户的操作体验.With machine learning technology widely used in the orbit recognition, a browser mouse gestures extension based on an artificial neural network is presented. The extension implements mouse gestures function by classifying and mapping orbits. Experimental results show that the extension can effectively identify a variety of complex orbits and execute the appropriate instructions, and can significantly improve the user experience.

关 键 词：鼠标手势 机器学习 BP神经网络 浏览器扩展程序 

分 类 号：TP391.412[自动化与计算机技术—计算机应用技术]