Daily Activity Feature Selection in Smart Homes Based on Pearson Correlation Coefficient-Reference-Cited by-同舟云学术

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Daily Activity Feature Selection in Smart Homes Based on Pearson Correlation Coefficient

Published:2020-01-07 Issue:2 Volume:51 Page:1771-1787
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Liu Yaqing,Mu Yong,Chen Keyu,Li Yiming,Guo Jinghuan

Funder

Fundamental Research Funds for the Central Universities

Open Project Program of Artificial Intelligence Key Laboratory of Sichuan Province

CERNET Innovation Project

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-019-10185-8.pdf

Reference46 articles.

1. Chan M, Campo E, Estève D, Fourniols JY (2008) A review of smart homes- present state and future challenges. Comput Methods Programs Biomed 91(1):55–81

2. Ruyter BD, Zwartkruispelgrim E, Aarts E (2010) Ambient assisted living research in the carelab. Interactions 14(4):30–33

3. Machot FA, Mosa AH, Ali M, Kyamakya K (2018) Activity recognition in sensor data streams for active and assisted living environments. IEEE Trans Circuits Syst Video Technol 28(10):2933

4. Feuz KD, Cook DJ (2017) Collegial activity learning between heterogeneous sensors. Knowl Inf Syst 53(2):337–364

5. Yala N, Fergani B, Fleury A (2017) Towards improving feature extraction and classification for activity recognition on streaming data. J Ambient Intell Humaniz Comput 8(2):177–189

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