In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 7

Skeleton-based action recognition through fusion of spatial-temporal and motion information

Wei Wei
zheng Cheng
Tang Yuan
Li Chen
School of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0483

Abstract

Aiming at the problem of insufficient utilization of spatio-temporal dependent features and motion information in existing skeletal behavior recognition methods, we propose an improved model that combines motion features and spatio-temporal attention based on PoseConv3D. Firstly, we use the limb heat map composed of limbs, head, and trunk as input to actively enhance the spatial correlation of adjacent key points. Secondly, we enhance the use of key spatio-temporal features in the backbone network by introducing spatio-temporal, channel, and motion excitation modules. Finally, we replace the cross-entropy loss function with the label smoothing loss function to improve the model's generalization ability. The model achieves recognition accuracies of 94.4% (X-Sub) and 97.5% (X-View) on the NTU RGB+D dataset, and 90.5% (X-Sub) and 91.4% (X-Set) on the NTU RGB+D 120 dataset. Experiments prove that combining motion features and spatio-temporal attention with skeletal heat maps as input effectively improves the accuracy of behavior recognition.

Foundation Support

四川省科技创新苗子项目(MZGC20230105)
科技厅重点研发(2021YFG0299)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0483
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 7

Publish History

[2025-03-13] Accepted Paper

Cite This Article

魏维, 郑程, 唐櫞, 等. 融合时空信息与运动信息的骨架行为识别 [J]. 计算机应用研究, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0483. (Wei Wei, zheng Cheng, Tang Yuan, et al. Skeleton-based action recognition through fusion of spatial-temporal and motion information [J]. Application Research of Computers, 2025, 42 (7). (2025-03-14). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0483. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)