a Faculty of Kinesiology , University of Calgary , Calgary , AB , Canada.
b Running Injury Clinic , Calgary , AB , Canada.
J Sports Sci. 2019 Jan;37(2):204-211. doi: 10.1080/02640414.2018.1488518. Epub 2018 Jun 19.
The purpose of this study was to classify runners in sex-specific groups as either competitive or recreational based on center of mass (CoM) accelerations. Forty-one runners participated in the study (25 male and 16 female), and were labeled as competitive or recreational based on age, sex, and race performance. Three-dimensional acceleration data were collected during a 5-minute treadmill run, and 24 features were extracted. Support vector machine classification models were used to examine the utility of the features in discriminating between competitive and recreational runners within each sex-specific subgroup. Competitive and recreational runners could be classified with 82.63 % and 80.4 % in the male and female models, respectively. Dominant features in both models were related to regularity and variability, with competitive runners exhibiting more consistent running gait patterns, but the specific features were slightly different in each sex-specific model. Therefore, it is important to separate runners into sex-specific competitive and recreational subgroups for future running biomechanical studies. In conclusion, we have demonstrated the ability to analyze running biomechanics in competitive and recreational runners using only CoM acceleration patterns. A runner, clinician, or coach may use this information to monitor how running patterns change as a result of training.
本研究旨在根据质心（CoM）加速度将跑步者分为竞技性或娱乐性组别。41 名跑步者参与了这项研究（25 名男性和 16 名女性），并根据年龄、性别和种族表现被标记为竞技性或娱乐性。在 5 分钟的跑步机跑步过程中收集了三维加速度数据，并提取了 24 个特征。支持向量机分类模型用于检查特征在每个性别亚组中区分竞技性和娱乐性跑步者的能力。在男性和女性模型中，竞技性和娱乐性跑步者的分类准确率分别为 82.63%和 80.4%。两个模型中的主要特征都与规律性和可变性有关，竞技性跑步者表现出更一致的跑步步态模式，但在每个性别特定的模型中，具体特征略有不同。因此，对于未来的跑步生物力学研究，将跑步者分为性别特异性的竞技性和娱乐性亚组非常重要。总之，我们已经证明了仅使用 CoM 加速度模式分析竞技性和娱乐性跑步者的跑步生物力学的能力。跑步者、临床医生或教练可以使用这些信息来监测训练导致的跑步模式变化。
