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Correction to Electronics 2024, 13(23), 4733.
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Correction

Correction: Zhao et al. A Review of State-of-the-Art Methodologies and Applications in Action Recognition. Electronics 2024, 13, 4733

by
Lanfei Zhao
1,
Zixiang Lin
1,
Ruiyang Sun
2,* and
Aili Wang
1
1
Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China
2
Chinese Martial Arts Department, Harbin Sport University, Harbin 150008, China
*
Author to whom correspondence should be addressed.
Electronics 2026, 15(16), 3494; https://doi.org/10.3390/electronics15163494
Submission received: 22 July 2026 / Accepted: 3 August 2026 / Published: 7 August 2026
Versions Notes
In the original publication [1], reference [178] was found to be not reliable and references [180–182] were retracted after the original publication was published. Concerns were raised regarding the following references and they were removed from the reference list:
[178] Liu, L. Objects detection toward complicated high remote basketball sports by leveraging deep CNN architecture. Futur. Gener. Comp. Syst. 2021, 119, 31–36.
[180] Li, X.; Ullah, R. An image classification algorithm for football players’ activities using deep neural network. Soft Comput. 2023, 27, 19317–19337.
[181] Ren, W. A novel approach for automatic detection and identification of inappropriate postures and movements of table tennis players. Soft Comput. 2024, 28, 2245–2269.
[182] Chen, G. An interpretable composite CNN and GRU for fine-grained martial arts motion modeling using big data analytics and machine learning. Soft Comput. 2024, 28, 2223–2243.
Additionally, Figure 22 from Section 4.4 Application of Skeleton-Based Neural Network Methods should have Figure 22c removed since it references the removed reference [180].
In Section 4.4 paragraph 3, the sentences “In the field of basketball [177,178], it can identify professional basketball skill moves, including the crotch dribble, turn jump shot, step back, and so on, as indicated in Figure 22a. For the coach team video analysis, tactics formulation has very precise pertinence, for the players can improve standardization according to the recognition of the action and increase accuracy. Similarly, in other sports like volleyball [179], football [180], table tennis [181], martial arts [182], and swimming [183], the recognition of movements can help guide sports enthusiasts, and in their own free time, help them train more conveniently to improve their abilities, as shown in Figure 22c.” were merged and changed to “In the field of basketball [177], it can identify professional basketball skill moves, including the crotch dribble, turn jump shot, step back, and so on, as indicated in Figure 22a. For the coach team video analysis, tactics formulation has very precise pertinence, for the players can improve standardization according to the recognition of the action and increase accuracy. Similarly, in other sports like volleyball [178], and swimming [179], the recognition of movements can help guide sports enthusiasts, and in their own free time, help them train more conveniently to improve their abilities.”
With this correction, the order of some references has been adjusted accordingly. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Zhao, L.; Lin, Z.; Sun, R.; Wang, A. A Review of State-of-the-Art Methodologies and Applications in Action Recognition. Electronics 2024, 13, 4733. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Zhao, L.; Lin, Z.; Sun, R.; Wang, A. Correction: Zhao et al. A Review of State-of-the-Art Methodologies and Applications in Action Recognition. Electronics 2024, 13, 4733. Electronics 2026, 15, 3494. https://doi.org/10.3390/electronics15163494

AMA Style

Zhao L, Lin Z, Sun R, Wang A. Correction: Zhao et al. A Review of State-of-the-Art Methodologies and Applications in Action Recognition. Electronics 2024, 13, 4733. Electronics. 2026; 15(16):3494. https://doi.org/10.3390/electronics15163494

Chicago/Turabian Style

Zhao, Lanfei, Zixiang Lin, Ruiyang Sun, and Aili Wang. 2026. "Correction: Zhao et al. A Review of State-of-the-Art Methodologies and Applications in Action Recognition. Electronics 2024, 13, 4733" Electronics 15, no. 16: 3494. https://doi.org/10.3390/electronics15163494

APA Style

Zhao, L., Lin, Z., Sun, R., & Wang, A. (2026). Correction: Zhao et al. A Review of State-of-the-Art Methodologies and Applications in Action Recognition. Electronics 2024, 13, 4733. Electronics, 15(16), 3494. https://doi.org/10.3390/electronics15163494

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