Novel Dynamic Segmentation for Human-Posture Learning System Using Hidden Logistic Regression-Reference-Cited by-同舟云学术

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Novel Dynamic Segmentation for Human-Posture Learning System Using Hidden Logistic Regression

Published:2022 Issue: Volume:29 Page:1487-1491
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Cao Yu¹^ORCID,Xie Rende²,Yan Kun¹^ORCID,Fang Shih-Hau²^ORCID,Wu Hsiao-Chun³^ORCID

Affiliation:

1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, China

2. Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan

3. School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA, USA

Funder

National Natural Science Foundation of China

Research Enhancement Award from Guangxi Province

State Key Laboratory of Integrated Service Networks

GUET Graduate Student Innovation Program

Louisiana Board of Regents Research Competitiveness Subprogram

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9686799/09806164.pdf?arnumber=9806164

Reference16 articles.

1. Segmentation of Time Series in Improving Dynamic Time Warping

2. A regression model with a hidden logistic process for feature extraction from time series

3. A Markov-Switching Model Approach to Heart Sound Segmentation and Classification

4. Simple algorithms for peak detection in time-series;palshikar;Proc 1st Int Conf Adv Data Anal Bus Analytics Intell,0

5. Segmental dynamic factor analysis for time series of curves

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Indoor Human Action Recognition Based on Dual Kinect V2 and Improved Ensemble Learning Method;Sensors;2023-11-02

2. Robust Abnormal Human-Posture Recognition Using OpenPose and Multiview Cross-Information;IEEE Sensors Journal;2023-06-01

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