运动捕捉技术在步态分析中的研究进展

doi:10.3969/j.issn.1000-8535.2024.08.002

广州医药 ›› 2024, Vol. 55 ›› Issue (8): 826-835.DOI: 10.3969/j.issn.1000-8535.2024.08.002

运动捕捉技术在步态分析中的研究进展

邓铬¹, 史世龙¹, 关至远¹, 林爽欣¹, 杜健聪¹, 邱学军^1,2

1 广东药科大学健康学院（广东广州 510000）;
2 广东省光与健康工程技术研究中心（广东广州 510006）

收稿日期:2024-02-02 出版日期:2024-08-20 发布日期:2024-09-24
通讯作者: 邱学军,E-mail：qiuxuejun@gdpu.edu.cn
作者简介:邱学军 博士,硕士研究生导师,广东药科大学高层次引进人才,广东省工程中心常务负责人,工信部产业发展促进中心项目评审专家、教育部学位与研究生教育发展中心学位论文评审专家、广东省康复医学会智能康复技术与转化分会理事,广东省光学学会激光医学与美容分会专委会委员等; 长期从事光学器件与智能康复方面的研究; 主持广东省自然科学基金面上项目、广东省医学科学技术研究基金面上项目、广东省教育厅项目等课题多项,以通讯作者和第一作者在Ceramics International、IEEE T Electron Dev、IEEE Electr Device L、J Appl Phys、Int J Nanomedicine等杂志上发表原创性SCI论文20余篇、授权国家专利9项、获得计算机软件著作权3项。
基金资助:
广东省2023年度教育科学规划项目（2023GXJK331）; 广东药科大学创新创业项目基金2023年创新创业项目（202310573065,202310573033）

Research progress of motion capture technology in gait analysis

DENG Ge¹, SHI Shilong¹, GUAN Zhiyuan¹, LIN Shuangxin¹, DU Jiancong¹, QIU Xuejun^1,2

1 School of Health Science,Guangdong Pharmaceutical University,Guangzhou 510000,China;
2 Guangdong Engineering Research Center for Light and Health,Guangzhou 510006,China

Received:2024-02-02 Online:2024-08-20 Published:2024-09-24

摘要/Abstract

摘要： 运动捕捉技术已经广泛应用于步态分析、运动康复、动作对比、技战术分析、生物运动力学分析、损伤防护、运动装备设计研发等领域,实现了人机交互的全新体验。而步行是人类运动中最基础的动作,在生物力学研究上对异常步态进行分析能够有效改善患者治疗和康复的效果。本文总结了运动捕捉技术在各种异常步态分析中的应用,并对其优缺点进行了总结与展望。检索PubMed、Embase、EBSCO、Web of Science、中国知网,收集2018年1月至2023年12月公开发表的有关有标记运动捕捉及无标记运动捕捉在异常步态的相关研究,进行系统综述。最终纳入了22篇英文文献,这些文献主要集中在神经科学、生物医学工程和临床医学等领域,特别是在步态分析、运动捕捉技术、神经病理学和康复医学等方面的应用。这些研究为我们理解和改善各种神经系统疾病,如帕金森病、多发性硬化症和脑卒中以及骨关节炎等疾病的步态提供了宝贵的见解。利用运动捕捉来进行异常步态分析能有效地给患者提供准确的康复治疗,将结果用于临床诊断、康复规划或研究目的。异常步态分析在评估肌肉骨骼状况、神经系统疾病或干预措施的有效性方面具有重要价值。

关键词: 运动捕捉, 步态分析, 下肢, 研究

Abstract: Motion capture technology has been widely used in the fields of gait analysis,sports rehabilitation,action comparison,technical and tactical analysis,biomotor mechanics analysis,injury protection,sports equipment design and development,etc.,which realizes a brand-new experience of human-computer interaction．While walking is the most basic action in human movement,the analysis of abnormal gait on biomechanical research can effectively improve the effect of patient treatment and rehabilitation．This paper summarizes the application of motion capture technology in the analysis of various abnormal gaits,and summarizes and prospects its advantages and disadvantages．PubMed,Embase,EBSCO,Web of Science and China Knowledge Network were searched to collect related studies,openly published from January 2018 to December 2023,about labeled motion capture and unlabeled motion capture in abnormal gait for systematic review．Twenty-two English-language papers were finally included,which focused on the fields of neuroscience,biomedical engineering and clinical medicine,especially in the applications of gait analysis,motion capture technology,neuropathology and rehabilitation medicine．These studies provide valuable insights into understanding and improving gait in various neurological disorders such as Parkinson’s disease,multiple sclerosis and stroke and osteoarthritis．The use of motion capture for abnormal gait analysis can be effective in providing accurate rehabilitation to patients,using the results for clinical diagnosis,rehabilitation planning,or research purposes．Abnormal gait analysis is valuable in assessing musculoskeletal conditions,neurological disorders,or the effectiveness of interventions．

Key words: motion capture, gait analysis, the legs, research

邓铬, 史世龙, 关至远, 林爽欣, 杜健聪, 邱学军. 运动捕捉技术在步态分析中的研究进展[J]. 广州医药, 2024, 55(8): 826-835.

DENG Ge, SHI Shilong, GUAN Zhiyuan, LIN Shuangxin, DU Jiancong, QIU Xuejun. Research progress of motion capture technology in gait analysis[J]. Guangzhou Medical Journal, 2024, 55(8): 826-835.

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运动捕捉技术在步态分析中的研究进展

Research progress of motion capture technology in gait analysis

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