Wrapper Filter Approach for Accelerometer-Based Human Activity Recognition
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1134/S1054661820040033.pdf
Reference37 articles.
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3. Y. Tian, X. Wang, Y. Geng, Z. Liuand, and L. Chen, “Inertial sensor-based human activity recognition via ensemble extreme learning machines optimized by quantum-behaved particle swarm,” J. Intell. Fuzzy Syst. 38, 1443–1453 (2020).
4. Performance evaluation of ensemble learners on smartphone sensor generated human activity data set;D. S. Sisodia,2019
5. P. Gupta and T. Dallas, “Feature selection and activity recognition system using a single triaxial accelerometer,” IEEE Trans. Biomed. Eng. 61, 1780–1786 (2014).
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