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A Gesture Controlled Music Playback System Using Convolutional Neural Network

机译:使用卷积神经网络的手势控制音乐播放系统

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In this paper, we propose an application of applying hand gesture recognition using Convolutional Neural Network(CNN) for music playback control. Our system begins with live image capturing from a USB camera; subsequently, followed by the initialization, calibration, and motion detection stages. To train the neural network, a set of segmented and tagged hand gesture images were used. According to our experimental results, our method has the advantages of low latency and high accuracy, which is capable of detecting a set of six gestures in real-time.
机译:在本文中,我们建议使用用于音乐播放控制的卷积神经网络(CNN)来应用手势识别。我们的系统从USB相机捕获实时图像;随后,接着是初始化,校准和运动检测阶段。为了训练神经网络,使用一组分段和标记的手势图像。根据我们的实验结果,我们的方法具有低延迟和高精度的优点,能够实时检测一组六个手势。

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