Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 11
3509-3514

Arbitrary angle sitting posture recognition based on human skeleton

Ye Qilang
Li Daixin
Nan Hai
School of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400054, China
DOI: 10.19734/j.issn.1001-3695.2023.03.0070

Abstract

Aiming at the current sitting posture recognition technology's poor detection effect in a dynamic environment without the help of external tools, this paper put forward a sitting posture recognition method based on the human skeleton, which could recognize sitting posture at any angle environment. It represented the human skeleton by the interconnection of joints and bones, and not affected its skeleton information by a dynamic environment and complex background. The proposed method firstly performed human pose estimation on the sitting posture image at any angle to extract the human skeleton information and used the physical connection relationship of the skeleton to construct a skeleton graph for detecting the sitting posture in three-dimensional space. This paper proposed a Skeleton-GCN network to extract the spatial features of the skeleton graph, and aggregated the eigenvalues on average, then put it into the MLP layer to save the output prediction probability. In addition, it projected the human skeleton coordinates of any angle at different angles in the three-dimensional space to obtain the skeleton images at different angles. Using the contrasting network to estimate the frontal posture of the skeleton images to obtain the frontal skeleton image and put it into the CNN to output the prediction probability of the frontal skeleton image. In the final step, integrating two modal classifiers through weighted fusion to predict probability and output category results. This paper applied the proposed method to scenes such as offices and classrooms to achieve effective detection of sitting posture at any angle.

Foundation Support

国家自然科学基金资助项目(62141201)
重庆理工大学研究生教育高质量发展行动计划资助成果(gzlcx20223194)
重庆市教育委员会科学技术研究计划项目(KJQN201901133)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0070
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Technology of Graphic & Image
Pages: 3509-3514
Serial Number: 1001-3695(2023)11-048-3509-06

Publish History

[2023-05-06] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

叶启朗, 李戴薪, 南海. 一种基于人体骨架的任意角度坐姿识别方法 [J]. 计算机应用研究, 2023, 40 (11): 3509-3514. (Ye Qilang, Li Daixin, Nan Hai. Arbitrary angle sitting posture recognition based on human skeleton [J]. Application Research of Computers, 2023, 40 (11): 3509-3514. )

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  • 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.

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