A Gesture Controlled Music Playback System Using Convolutional Neural Network

Hung-Kuang Chen, Che-Chia Chuang
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引用次数: 1

Abstract

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.
基于卷积神经网络的手势控制音乐播放系统
本文提出了一种基于卷积神经网络(CNN)的手势识别在音乐播放控制中的应用。我们的系统从USB相机的实时图像捕获开始;随后是初始化、校准和运动检测阶段。为了训练神经网络,使用了一组分割和标记的手势图像。实验结果表明,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种手势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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