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HAND GESTURE RECOGNITION APPARATUS AND METHOD USING AN ARTIFICIAL NEURAL NETWORK LEARNING

机译:使用人工神经网络学习的手势识别装置和方法

摘要

Disclosed is a hand gesture recognition method and apparatus using artificial neural network learning. The hand gesture recognition method using artificial neural network learning includes starting a learning mode according to an external signal or a specific noise, performing motion-based labeling on a detection signal acquired through a sensor unit according to the start of the learning mode, motion Performing motion learning based on based labeling, performing motion section recognition according to the result of motion learning, ending motion section recognition according to external signal generation or specific noise occurrence, and hand gesture section according to motion section recognition And performing artificial neural network learning based on the recognition data.
机译:公开了一种使用人工神经网络学习的手势识别方法和设备。使用人工神经网络学习的手势识别方法包括:根据外部信号或特定噪声来启动学习模式;根据学习模式的开始,对通过传感器单元获取的检测信号进行基于运动的标记;基于标记的运动学习,根据运动学习的结果执行运动部分识别,根据外部信号生成或特定噪声发生结束运动部分识别,根据运动部分识别进行手势部分并基于以下内容进行人工神经网络学习识别数据。

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