Bourantanis Andreas, Nomikos Nikitas, Wang Weijie
Department of Orthopaedic and Trauma Surgery, School of Medicine, University of Dundee, Dundee DD1 9SY, UK.
Department of Health Sciences and Sports, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527 Athens, Greece.
Sports (Basel). 2024 Nov 26;12(12):317. doi: 10.3390/sports12120317.
Though ancient Greece preserves many pictures of combat sports, there is limited research in terms of biomechanical analysis of their sports. This research aimed to investigate the Pankration postures of ancient Greek athletics, expecting to bridge the gap between historical sports practices and contemporary biomechanical applications.
This study employed computer vision (OpenPose) to analyze two images, one as readiness and another as kicking postures, from ancient Greek Pankration by constructing a static multi-segmental model. Using Newton's Laws, the models simulated the postures as presented in historical depictions, estimated joint forces and moments, and calculated weight distribution and ground reaction forces for these postures.
For the readiness posture, it was found that the right hind leg experienced significant forces, with the highest moment at the knee joint, while the ankle and hip joints showed similar slightly lower moments. The front leg encountered lower forces and moments. For the kick posture, the supporting leg experienced the highest moment at the knee, while the kicking leg showed minimal moments at the ankle, knee, and hip.
The static analysis provided quantitative estimates of joint forces and moments in the depicted Pankration postures, suggesting that these postures were biomechanically effective for their intended functions in combat. While the analysis cannot confirm whether ancient athletes deliberately applied biomechanical principles, the results highlight the potential of biomechanical modeling to enhance our understanding of ancient sports practices. The research demonstrates the possible benefits of integrating static analysis with historical elements to study the physical demands and techniques of ancient combat sports.
尽管古希腊留存了许多格斗运动的图片,但对其运动进行生物力学分析的研究却很有限。本研究旨在探究古希腊竞技运动中的角力姿势,期望弥合历史体育实践与当代生物力学应用之间的差距。
本研究运用计算机视觉技术(OpenPose),通过构建静态多节段模型,分析古希腊角力的两张图片,一张为准备姿势,另一张为踢腿姿势。利用牛顿定律,这些模型模拟了历史描绘中的姿势,估计了关节力和力矩,并计算了这些姿势的重量分布和地面反作用力。
对于准备姿势,发现右后腿承受较大力量,膝关节处力矩最高,而踝关节和髋关节处力矩略低且相似。前腿承受的力量和力矩较小。对于踢腿姿势,支撑腿膝关节处力矩最高,而踢腿的踝关节、膝关节和髋关节处力矩最小。
静态分析提供了所描绘角力姿势中关节力和力矩的定量估计,表明这些姿势在战斗中的预期功能在生物力学上是有效的。虽然该分析无法确定古代运动员是否有意应用生物力学原理,但结果凸显了生物力学建模在增进我们对古代体育实践理解方面的潜力。该研究证明了将静态分析与历史元素相结合以研究古代格斗运动的身体需求和技术的可能益处。