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投稿时间：2015-05-16
投稿时间：2015-05-16
中文摘要: 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.
Abstract: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.
文章编号：20160315 中图分类号： 文献标志码：
基金项目: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).
引用文本：
魏为民,孙易,孔志伟.人体学输入设备轨迹识别与功能增强[J].上海电力大学学报,2016,32(3):277-282.
WEI Weimin,SUN Yi,KONG Zhiwei.Enhancing Human Input Device Features Based on Orbit Recognition[J].Journal of Shanghai University of Electric Power,2016,32(3):277-282.
魏为民,孙易,孔志伟.人体学输入设备轨迹识别与功能增强[J].上海电力大学学报,2016,32(3):277-282.
WEI Weimin,SUN Yi,KONG Zhiwei.Enhancing Human Input Device Features Based on Orbit Recognition[J].Journal of Shanghai University of Electric Power,2016,32(3):277-282.