基于青少年在线学习的特定动作识别

Specific Motion Recognition Method Based on Learning of Youth Online

鉴于青少年在线学习的不断普及,本文提出使用计算机深度学习技术进行在线学习时特定动作识别研究的方法。该方法应用卷积神经网络,基于帧间差分法提取视频关键帧,融合了空间和时间特征,用于识别青少年在线学习时不同类型的动作。经实验证实,该方法能有效识别出躺卧、站立、移动等特定动作,验证了该方法的有效性。

In view of the growing popularity of online learning among teenagers,This paper presents a research method about specific motion recognition method based on learning of youth online using computer in-depth learning technology.In this method,convolution neural network combing spatial and time features is used to identify different types of actions of teenagers in online learning extracting video key frames by the frame difference method.Experiments show that the method can effectively recognize the specific actions such as lying,standing and moving,and the effectiveness of the method was verified.