Application of a Two-Dimensional Regression Network Algorithm Model Based on Local Constraints in Human Motion Recognition-Reference-Cited by-同舟云学术

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Application of a Two-Dimensional Regression Network Algorithm Model Based on Local Constraints in Human Motion Recognition

Published:2024 Issue: Volume:12 Page:32253-32265
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Lijun¹,Wang Zixu²,Zhou Lijuan³^ORCID

Affiliation:

1. School of Computer Application Technology, Changchun University of Technology, Changchun, China

2. School of Computer Science and Engineering, Changchun University of Technology, Changchun, China

3. School of Journalism and Communication, Changchun University of Technology, Changchun, China

Funder

Education Department of Jilin Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10443385.pdf?arnumber=10443385

Reference20 articles.

1. RFID-based 3D human pose tracking: A subject generalization approach

2. FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT

3. LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

4. Patient activity recognition using radar sensors and machine learning

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