IP Indian Journal of Anatomy and Surgery of Head, Neck and Brain

Print ISSN: 2581-5210

Online ISSN: 2581-5229

CODEN : IIJAAL

IP Indian Journal of Anatomy and Surgery of Head, Neck and Brain (IJASHNB) open access, peer-reviewed quarterly journal publishing since 2015 and is published under the Khyati Education and Research Foundation (KERF), is registered as a non-profit society (under the society registration act, 1860), Government of India with the vision of various accredited vocational courses in healthcare, education, paramedical, yoga, publication, teaching and research activity, with the aim of faster and better dissemination of knowledge, we will be publishing more...

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Review Article


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59-64


Authors Details

Mohammed Sheeba Kauser*, K Chenchu Kishore


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Using motion capture technology to assess gait patterns in runners and investigate injury risks: A short review


Review Article

Author Details : Mohammed Sheeba Kauser*, K Chenchu Kishore

Volume : 10, Issue : 3, Year : 2024

Article Page : 59-64

https://doi.org/10.18231/j.ijashnb.2024.014



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Abstract

Motion capture technology has become integral in studying gait patterns among runners to understand their implications for injury risks. This review synthesizes current literature to examine methodologies and findings related to using motion capture technology for gait analysis in runners. A systematic search was conducted across major academic databases to identify relevant studies published in peer-reviewed journals and conference proceedings. Inclusion criteria focused on studies utilizing motion capture technology to assess biomechanical factors associated with running-related injuries.The review highlights key biomechanical parameters analyzed through motion capture, including joint angles, forces, and muscle activations during running. Studies consistently report on the relationship between gait abnormalities and various injuries such as stress fractures, patellofemoral pain syndrome, and Achilles tendonitis. Practical implications for injury prevention strategies are discussed including personalized gait assessments, targeted interventions such as gait retraining, and advancements in footwear design aimed at optimizing running mechanics and reducing injury risks. Motion capture technology offers a robust platform for advancing our understanding of gait mechanics in runners and their impact on injury prevention. Future research directions should focus on standardizing methodologies, integrating multi-modal data, and applying findings to enhance clinical practice and athletic performance.


Keywords: Motion capture, Gait analysis, Injury risk, Stress fractures, IT band syndrome, Patellofemoral pain syndrome, Biomechanics, Runners


How to cite : Kauser M S, Kishore K C, Using motion capture technology to assess gait patterns in runners and investigate injury risks: A short review. IP Indian J Anat Surg Head Neck Brain 2024;10(3):59-64

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