机译:使用RNN AutoEncoder进行基于骨架的异常步态识别的特征提取
Gwangju Inst Sci & Technol Sch Integrated Technol Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol Sch Integrated Technol Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol Sch Integrated Technol Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol Sch Integrated Technol Gwangju 61005 South Korea;
Gwangju Inst Sci & Technol Sch Integrated Technol Gwangju 61005 South Korea;
Abnormal gait recognition; skeleton-based recognition; RNN Autoencoder; feature extraction; hybrid model; deep learning;
机译:提取身体特征以进行步态识别和步态吸引力评估
机译:具有特征性的区分自动编码器:在字符识别中的应用
机译:特征提取的识别性AutoEncoder:对字符识别的应用
机译:使用多种Kinects系统的3D联合信息和RNN-LSTM进行异常步态识别
机译:AutoEncoder改进了时间序列数据集的特征
机译:结合短期空间/频率特征提取和长期IndrnN进行活动识别的框架
机译:使用RNN AutoEncoder进行基于骨架的异常步态识别的特征提取