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Etiquette Action Similarity Evaluation Based on Posture Recognition

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Knowledge Management in Organizations (KMO 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1438))

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Abstract

At present, more and more vocational colleges set up the etiquette course. In traditional etiquette education, due to the shortage of teachers, it is not practicable to effectively manage students. In order to address this problem, this paper proposes a method based on posture recognition technology and using fuzzy comprehensive evaluation method to evaluate the similarity of etiquette action. This method can be used in action video teaching, used for individual teaching. The student can carry out real-time learning or evaluation of the etiquette action, and be given guidance, thus his resources can be accumulated in the process, so that the teacher can scientifically manage students’ knowledge. The research found that the proposed method can automatically match standard and test keyframe, and can calculate similarity for skeletons of different body sizes. By comparing the similarity of different postures, the consequence shows that the method is more feasible than the European distance. This method can be used not only for etiquette action teaching, but also for the other field of action teaching.

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Acknowledgments

This research was supported in part by the National Key R&D Program of China under Grant No. 2020YFB1707700, and the Fundamental Research Funds for the Central Universities under Grant No. 20D111201.

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Yang, R., Tao, R., Wang, Z., Feng, X. (2021). Etiquette Action Similarity Evaluation Based on Posture Recognition. In: Uden, L., Ting, IH., Wang, K. (eds) Knowledge Management in Organizations. KMO 2021. Communications in Computer and Information Science, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-030-81635-3_33

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  • DOI: https://doi.org/10.1007/978-3-030-81635-3_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81634-6

  • Online ISBN: 978-3-030-81635-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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