A human activity recognition method based on Vision Transformer Article Swipe
Huiyan Han
,
Hongwei Zeng
,
Liqun Kuang
,
Xie Han
,
Hongxin Xue
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-65850-3
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-65850-3
Human activity recognition has a wide range of applications in various fields, such as video surveillance, virtual reality and human–computer intelligent interaction. It has emerged as a significant research area in computer vision. GCN (Graph Convolutional networks) have recently been widely used in these fields and have made great performance. However, there are still some challenges including over-smoothing problem caused by stack graph convolutions and deficient semantics correlation to capture the large movements between time sequences. Vision Transformer (ViT) is utilized in many 2D and 3D image fields and has surprised results. In our work, we propose a novel human activity recognition method based on ViT (HAR-ViT). We integrate enhanced AGCL (eAGCL) in 2s-AGCN to ViT to make it process spatio-temporal data (3D skeleton) and make full use of spatial features. The position encoder module orders the non-sequenced information while the transformer encoder efficiently compresses sequence data features to enhance calculation speed. Human activity recognition is accomplished through multi-layer perceptron (MLP) classifier. Experimental results demonstrate that the proposed method achieves SOTA performance on three extensively used datasets, NTU RGB+D 60, NTU RGB+D 120 and Kinetics-Skeleton 400.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-65850-3
- https://www.nature.com/articles/s41598-024-65850-3.pdf
- OA Status
- gold
- Cited By
- 13
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400283653
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- OpenAlex ID
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https://openalex.org/W4400283653Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-024-65850-3Digital Object Identifier
- Title
-
A human activity recognition method based on Vision TransformerWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-03Full publication date if available
- Authors
-
Huiyan Han, Hongwei Zeng, Liqun Kuang, Xie Han, Hongxin XueList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-024-65850-3Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-024-65850-3.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41598-024-65850-3.pdfDirect OA link when available
- Concepts
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Computer science, Artificial intelligence, Activity recognition, RGB color model, Encoder, Pattern recognition (psychology), Transformer, Graph, Computer vision, Theoretical computer science, Voltage, Operating system, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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