Method on Human Activity Recognition Based on Convolutional Neural Network-Reference-Cited by-同舟云学术

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Method on Human Activity Recognition Based on Convolutional Neural Network

Published:2019 Issue: Volume: Page:63-71
ISSN:0302-9743
Container-title:Intelligent Robotics and Applications
language:
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Author:

Haibin Zhang,Kubota Naoyuki

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-27535-8_6

Reference4 articles.

1. Zeng, M., Nguyen, L.T.: Convolutional neural networks for human activity recognition using mobile sensors. In: Mobile SCASE, pp. 197–205 (2014)

2. Abdel-Hamid, O., Mohamed, A.R., Jiang, H., et al.: Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4277–4280. IEEE (2012)

3. Bagci, U., Bai, L.: A comparison of Daubechies and Gabor wavelets for classification of mr images. In: 2007 International Conference on Signal Processing and Communications, ICSPC 2007, pp. 676–679. IEEE (2007)

4. Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn. 2(1), 1–127 (2009)

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