Study on Joint Injury of Taijiquan Movement Based on Computer Image Analysis

Q4 Engineering

International Journal of High Speed Electronics and Systems Pub Date : 2024-06-10 DOI:10.1142/s0129156424400317

Bingwu Pang

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引用次数: 0

Abstract

As a traditional Chinese martial art, Taijiquan has a remarkable effect on the rehabilitation of joint injury with its unique movement. In this paper, the influence of Taijiquan on joint injury is analyzed by using the local depth feature representation method of image sampling. Then, the local feature coding algorithm is introduced, and the problems existing in the rehabilitation of joint injury are analyzed. An analysis algorithm of the influence of Taijiquan on joint injury based on CV model was proposed, and the effectiveness of the algorithm was verified. The results show that the proposed algorithm improves the MS-COCO dataset by 0.2%, 0.88%, 1.86% and 3.18%, respectively, compared with Hash Net. On the 15Scene dataset, CNN-VLAD’s classification results were 4.1% higher than those of the TNNCV model. On the Caltech 256 data set, the classification accuracy of SMVLADC algorithm is 7.7% higher than CNN-VLAD algorithm. This shows that the proposed algorithm is effective, and the local depth features extracted by CNN are more effective than the traditional artificial features. At the same time, the superiority of CV model based on improved significant regional features is further verified. This study provides a new theoretical basis and practical method for the rehabilitation treatment of joint injury by Taijiquan.

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基于计算机图像分析的太极拳运动关节损伤研究

作为中国传统武术，太极拳以其独特的运动方式对关节损伤的康复具有显著效果。本文利用图像采样的局部深度特征表示方法，分析了太极拳对关节损伤的影响。然后，介绍了局部特征编码算法，并分析了关节损伤康复中存在的问题。提出了基于 CV 模型的太极拳对关节损伤影响的分析算法，并验证了算法的有效性。结果表明，在 MS-COCO 数据集上，与 Hash Net 相比，提出的算法分别提高了 0.2%、0.88%、1.86% 和 3.18%。在 15Scene 数据集上，CNN-VLAD 的分类结果比 TNNCV 模型高出 4.1%。在 Caltech 256 数据集上，SMVLADC 算法的分类准确率比 CNN-VLAD 算法高 7.7%。这表明所提出的算法是有效的，CNN 提取的局部深度特征比传统的人工特征更有效。同时，基于改进的重要区域特征的 CV 模型的优越性也得到了进一步验证。本研究为太极拳关节损伤的康复治疗提供了新的理论依据和实践方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of High Speed Electronics and Systems Engineering-Electrical and Electronic Engineering

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： Launched in 1990, the International Journal of High Speed Electronics and Systems (IJHSES) has served graduate students and those in R&D, managerial and marketing positions by giving state-of-the-art data, and the latest research trends. Its main charter is to promote engineering education by advancing interdisciplinary science between electronics and systems and to explore high speed technology in photonics and electronics. IJHSES, a quarterly journal, continues to feature a broad coverage of topics relating to high speed or high performance devices, circuits and systems.