Human Activity Classification Based on Data Analysis and Feature Extraction

Author:

Liang Qiao1ORCID,Hu Cheng1ORCID,Huang Haiyan2ORCID

Affiliation:

1. Guangdong University of Foreign Studies, China

2. Guangzhou City University of Technology, China

Publisher

ACM

Reference16 articles.

1. Visual perception of biological motion and a model for its analysis

2. Fakhrulddin A H , Fei X , Li H. Convolutional neural networks (CNN) based human fall detection on Body Sensor Networks (BSN) sensor data [C]. ystems and Informatics (ICSAI) , 2017 4th. Fakhrulddin A H, Fei X, Li H. Convolutional neural networks (CNN) based human fall detection on Body Sensor Networks (BSN) sensor data [C]. ystems and Informatics (ICSAI), 2017 4th.

3. Chen W H , Baca C A B , Tou C H . LSTM-RNNs combined with scene information for human activity recognition [C]. IEEE , International Conference on E-Health Networking, Applications and Services. IEEE , 2017 . Chen W H, Baca C A B, Tou C H. LSTM-RNNs combined with scene information for human activity recognition [C]. IEEE, International Conference on E-Health Networking, Applications and Services. IEEE, 2017.

4. Zhao Y , Yang R , Chevalier G , Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors [J] . 2017 . Zhao Y, Yang R, Chevalier G, Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors [J]. 2017.

5. A convolutional neural network based deep learning method for human behavior recognition[J];Wang Z M;Computer Science,2016

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