标题：Human behavior recognition using continuous time-varying autoencoder
作者：Wang, Lukun ;Tang, Gongyou ;Zhang, Jian ;Tian, Chunpeng
作者机构：[Wang, Lukun ] Department of Information Engineering, Shandong University of Science and Technology, Tai'an; Shandong; 271021, China;[Wang, Lukun ;Tan 更多
来源：Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
摘要：This paper proposed a model of continuous time-varying autoencoder (CTAE) to solve the problem of human behavior recognition and classification. The stochastic unit following the Gaussian distribution was added to the activation function of CTAE, which could change the direction of gradient and prevent over-fitting. In the experiment of human behavior recognition, the ten-dimensional frequency domain feature and four-dimensional time domain feature were extracted from the raw signal. Then, the principle component analysis (PCA) was adopted to reduce the dimension of the feature. After data preprocessing, the deep belief network (DBN) composed of multiple layers of CTAE was trained to realize the nonlinear classification and recognize the human behavior. The effectiveness of the CTAE model was validated by simulation.
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