A Comparison of Machine Learning Models with Data Augmentation Techniques for Skeleton-based Human Action Recognition-Reference-Cited by-同舟云学术

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A Comparison of Machine Learning Models with Data Augmentation Techniques for Skeleton-based Human Action Recognition

Published:2023-09-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
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Author:

Xin Chu¹^ORCID,Kim Seokhwan²^ORCID,Park Kyoung Shin³^ORCID

Affiliation:

1. Department of Artificial Intelligence Convergence, Dankook University, Yongin-si, Gyeonggi-do, Republic of Korea

2. Farmkit R&D Center, Yongin-si, Gyeonggi-do, Republic of Korea

3. Department of Computer Engineering, Dankook University, Yongin-si, Gyeonggi-do, Republic of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584371.3612999

Reference23 articles.

1. A Comprehensive Survey of Vision-Based Human Action Recognition Methods

2. Human Action Recognition From Various Data Modalities: A Review

3. Feature learning for Human Activity Recognition using Convolutional Neural Networks

4. Inertial-Measurement-Unit-Based Novel Human Activity Recognition Algorithm Using Conformer

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. Enhancing Human Action Recognition with 3D Skeleton Data: A Comprehensive Study of Deep Learning and Data Augmentation;Electronics;2024-02-13

2. Action Recognition for Privacy-Preserving Ambient Assisted Living;Lecture Notes in Computer Science;2024

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