基于距离变化的手势数据提取技术研究  

Gesture data extraction technology based on distance change

作　　者：许舒晨 孙永荣[1] 赵科东[1] 赵伟[1] XU Shu-chen;SUN Yong-rong;ZHAO Ke-dong;ZHAO Wei(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《信息技术》2020年第6期1-4,9,共5页Information Technology

基　　金：江苏省产学研前瞻性联合研究基金(BY203003-02)。

摘　　要：随着人机交互技术的发展,用户操作渐渐脱离按键式外设的束缚,转而使用双手直接对屏幕进行操作。然而,触控手势数据量大,不同手势之间数据差异大,现有的手势数据提取方法无法高效还原复杂手势形状,手势识别成功率低。针对以上问题,研究了基于距离变化的手势数据提取技术,以极值点为骨架,距离变化程度为判断标准提取手势有效数据。测试结果表明,文中研究的方法合理有效,运行可靠,可以高效提取手势有效数据,具有较高的手势识别成功率。With the development of human-computer interaction technology,user’s operation gradually get rid of the shackles of buttons,to use the hands to directly operate the screen.However,the amount of touch gesture data is large,and the data difference between different gestures is large.The existing gesture data extraction method cannot efficiently restore complex gesture shapes,and the success rate of gesture recognition is low.For the above problems,the gesture based on distance change is studied.The data extraction technique takes the extreme point as the skeleton,and the degree of change of the distance is used as the criterion to extract the valid data of the gesture.The test results show that the method studied in this paper is reasonable and effective,runs reliably.It can efficiently extract effective data of gestures and has a high success rate of gesture recognition.

关 键 词：触控屏 折线距离 极值点 手势数据 手势形状 

分 类 号：V241[航空宇航科学与技术—飞行器设计]