基于智能手机传感器与触摸屏的手势交互技术  

Interactive technology of gesture based on smartphone sensor and touch screen

作　　者：崔梦天[1] 郭曌阳 

机构地区：[1]西南民族大学计算机科学与技术学院,成都610041

出　　处：《计算机应用研究》2018年第2期483-486,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(61379019);四川省科技计划资助项目(2015JY002);西南民族大学创新型科研项目(CX2017SP278)

摘　　要：由于以图像为手势信息载体的交互方式易受环境影响,设计实现了一种基于智能手机触摸屏与内置传感器的手势交互方案。首先通过手机内置MEMS传感器及触摸屏获取手势信息;然后分析手势的运动学特征,实时提取手势的信息(角速度、加速度、触摸屏数据),利用多变量决策树分类器完成对手势分类与识别;最后给出了一个原型系统。实验结果表明,该方案满足实时人机交互需求。This paper designed and implemented the novel interactive solutions based on the touch screen of the smartphone and the built-in sensor considering the interaction of images as an information carrier＇ s demanding to the environments. First, gesture information were acquired through smartphone built-in MEMS sensors and touch screens. Then the gestures information （angular velocity, acceleration, touch screen data） were extracted in real time. The kinetic feature of gestures were analyzed. Meanwhile, the multivariate decision trees classifier was used to classify and identify gestures. Finally, this paper provided a prototype system. The experimental results show that the proposed method can meet the requirements of real-time human-com- puter interaction.

关 键 词：手势识别 传感器 决策树 人机交互 特征提取 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]