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基于卷积神经网络实现手语识别 被引量:1

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摘要 本文通过深度学习算法,使用Keras等构建卷积神经网络模型实现对手语图像的识别,手语识别就是通过不同的数学算法实现动作与语言的翻译,触觉与视觉的转化,可使聋人与机器间的交流的一项技术。实现手语的自动化识别能够使手语使用者更加便利地与外界进行沟通,亦可反向将他人口语的内容自动转化成手语图像。
作者 宫艺璇
机构地区 高新一中南校区
出处 《通讯世界》 2019年第4期49-50,共2页 Telecom World
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