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Computer Vision Based Human-Computer Interaction Using Color Detection Techniques

机译:使用颜色检测技术的基于计算机视觉的人机交互

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A gesture-based human computer interaction allows people to control the application on windows by moving their hands through the air and make computers and devices easier to use. Existing solutions have relied on gesture recognition algorithms they needs different hard wares, often involving complicated setups limited to the research lab. Algorithms which are used so far for gesture recognition are not practical or responsive enough for real-world use, might be due to the inadequate data on which the image processing is done. As existing methods are based on gesture recognition algorithms. It needs 'ANN training' which makes whole process slow and reduces accuracy. Method we proposed is based on real time controlling the motion of mouse in windows according to the motion of hand and fingers by calculating the change in pixels values of RBG colors from a video, 'without using any ANN training' to get exact sequence of motion of hands and fingers.
机译:基于手势的人机交互使人们可以通过在空中移动手来控制Windows上的应用程序,并使计算机和设备更易于使用。现有解决方案依赖于手势识别算法,它们需要不同的硬件,通常涉及仅限于研究实验室的复杂设置。迄今为止,用于手势识别的算法对于实际使用而言并不实用或响应速度不够,这可能是由于在其上进行图像处理的数据不足所致。由于现有方法都是基于手势识别算法的。它需要“人工神经网络训练”,这会使整个过程变慢并降低准确性。我们提出的方法基于“不使用任何ANN训练”即可通过计算视频中RBG颜色的像素值变化来根据手和手指的运动实时控制鼠标在窗口中的运动,从而获得精确的运动顺序和手指的手。

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