| 摘要: |
| 目的：探讨利用矢量编码技术来分析竞走项目运动员动作协调模式的可行性，并在此基础上对竞走运动员的动作技术和协调模式进行分析。方法：以参加2010年北京竞走挑战赛、2010年广州亚运会竞走比赛以及2012年太仓国际竞走挑战赛男子、女子20 km项目前10名和后10名运动员技术资料作为数据来源。使用CASIO FH25高速摄像机，采用立体定机定焦拍摄方法进行拍摄。使用SIMI Motion运动技术分析系统对运动员的视频资料进行数字化处理，并得到髋关节和膝关节角度参数。在得到髋—膝关节角相图基础上，计算髋膝耦合角，并利用矢量编码技术对运动员下肢协调模式进行频次统计。结果：①高水平组运动员步频（361±018步/秒）显著高于普通组（343±012步/秒）；②在支撑期，两组运动员在HP+和H+K+协调模式的出现频次上存在显著性差异；③在摆动期，高水平组运动员的耦合角变异度（152±67°）值显著低于普通组（225±91°）。结论：矢量编码技术可以实现对竞走运动员下肢环节间协调模式的量化分析。在支撑期，普通组运动员以固定膝关节并伸髋的动作协调模式为主，而高水平组运动员的协调模式则更为多样。在摆动期，两组运动员的动作协调模式无显著性差异，但普通组运动员的动作协调变异度显著高于高水平组，动作稳定性有待提高。 |
| 关键词: 矢量编码 耦合角 竞走 协调 |
| DOI： |
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| 基金项目:山西省软科学研究项目“山西省竞技体育产学研协同创新的动力机制研究”（2016041037 3） |
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| Quantitative Analysis of Motion Technique of Race Walkers by Vector Coding Technique |
| JIA Yi |
| (School of Sport and Physical Education, North University of China) |
| Abstract: |
| Objective: To explore the feasibility of using vector coding technology to analyze the motion coordination mode of race walkers, and on this basis, to analyze the motion technology and coordination mode of race walkers. Method: Data is collected from the top 10 and the last 10 athletes who participated in the 20KM race walking of 2010 Beijing Walking Challenge, the 2010 Guangzhou Asian Games Walking Competition and the 2012 Taicang International Walking Challenge. By a CASIO FH25 high speed camera’s stereo fixedfocus and SIMI Motion analysis system, SIMI Motion analysis system is used to digitalize the video data of athletes, and the angle parameters of hip and knee joint are obtained. On the basis of the hipknee angle phase diagram, the hipknee coupling angle is calculated, and the frequency statistics of the lower limb coordination mode of athletes are carried out by using vector coding technology. Result: ①The stride frequency of highlevel athletes (361 ±018 paces/second) is significantly higher than that of normal athletes (343 ±012 paces/second); ②There is a significant difference in the frequency of HP + and H + K + coordination modes between the two groups during the support period; ③During the swing period, the variation of coupling angle of highlevel athletes (152 ±67°) is significantly lower than that of normal athletes (225 ±91°). Conclusion: Vector coding technology can quantitatively analyze the coordination mode of lower limb links of race walkers. During the support period, the coordination mode of fixing knee joint and extending hip is the main mode in the general group, while the coordination mode of the highlevel group is more diverse. During the swing period, there is no significant difference between the two groups in the mode of motion coordination, but the variation degree of motion coordination of the general group is significantly higher than that of the highlevel group, and the motion stability needs to be improved. |
| Key words: vector coding coupling angle race walking coordination |
