Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM-Reference-Cited by-同舟云学术

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Robust Human Activity Recognition Using Smartphone Sensors via CT-PCA and Online SVM

Published:2017-12 Issue:6 Volume:13 Page:3070-3080
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Chen Zhenghua^ORCID,Zhu Qingchang^ORCID,Soh Yeng Chai,Zhang Le^ORCID

Funder

Building Efficiency and Sustainability in the Tropics (SinBerBEST)

Singapore's National Research Foundation

University of California, Berkeley (UCB)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/8167035/07942041.pdf?arnumber=7942041

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1. Survey on Objective Measurement and Sensor-Based Detection of Physical and Social Activities;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. A Human Activity Recognition Scheme Using Mobile Smartphones Based on Varying Orientations and Positions;IEEE Sensors Journal;2024-05-15

3. Novel hybrid optimization based adaptive deep convolution neural network approach for human activity recognition system;Multimedia Tools and Applications;2024-04-19

4. Automated Improved Human Activity Recognition using Ensemble Modeling;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17

5. A bilateral assessment of human activity recognition using grid search based nonlinear multi-task least squares twin support vector machine;Multimedia Tools and Applications;2024-04-06

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