基于手指几何特征的移动设备视觉手势识别研究

摘要

在以往的视觉手势识别技术的基础上,具体研究手势的几何特征,提出了一种能在移动设备上流畅运行的视觉手势识别方法。通过移动设备的摄像头提取手势原始图像,进而利用肤色识别得到手势的二值化图像。通过对手势的二值化图像进行几何特征分析,选取有价值的几何特征值,通过特征匹配得到手势含义。将手势信息作为控制移动设备的指令,操纵移动设备。本文选取 Android 作为试验平台,经测试表明,该方法在 Android 设备上的运行周期约为120ms,正确率接近90%,保证了手势识别的实时性和准确性。%This study,drawing on prior visual gesture recognition technologies,particularly focuses on the geometrical characteristics of gestures and there is proposed a visual gesture recognition method being able to run smoothly on mobile devices.The original gesture images are captured using a mobile device camera,the binarized gesture images being ob-tained by means of skin color recognition.Geometrical characterization analysis of binarized gesture images helps to deter-mine useful geometrical characteristic values so that the gesture meanings are found by characteristics matching.The ges-ture information is then interpreted as instructions that control and operate the device.The test platform used by this pa-per was Android and the testing made clear that with an Android device this method has an operation cycle of about 120ms and a correct rate close to 90%,guaranteeing the real-timeliness and accuracy of gesture recognition.