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      Running patterns for male and female competitive and recreational runners based on accelerometer data

      1 , 1 , 1 , 2 , 1 , 1 , 2 , 3
      Journal of Sports Sciences
      Informa UK Limited

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          Abstract

          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.

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          Most cited references35

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          A survey on feature selection methods

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            The mechanics of running: How does stiffness couple with speed?

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              Relationship between distance running mechanics, running economy, and performance.

              The relationships between biocmechanical aspects of distance running, running economy (VO2 submax), and performance were investigated. A variety of biomechanical measures for 31 subjects running at 3.6 m/s was obtained, including three-dimensional angular and translational kinematics, ground reaction forces and center of pressure patterns, mechanical power, and anthropometric measures. Physiological measures obtained included maximal and submaximal O2 consumption, muscle fiber composition, and measures of the ability to store and return elastic energy during knee bends. A subset of 16 runners was also evaluated in relation to performance in a 10-km run. Biomechanical variables were identified which showed significant differences or consistent trends between groups separated on the basis of VO2 submax, establishing the importance of biomechanical influences on running economy. It appears that no single variable or small subset of variables can explain differences in economy between individuals but rather that economy is related to a weighted sum of the influences of many variables.
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                Author and article information

                Journal
                Journal of Sports Sciences
                Journal of Sports Sciences
                Informa UK Limited
                0264-0414
                1466-447X
                June 18 2018
                January 17 2019
                June 19 2018
                January 17 2019
                : 37
                : 2
                : 204-211
                Affiliations
                [1 ] Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
                [2 ] Running Injury Clinic, Calgary, AB, Canada
                [3 ] Faculty of Nursing, University of Calgary, Calgary, AB, Canada
                Article
                10.1080/02640414.2018.1488518
                29920155
                217f2825-b084-4785-947d-1a1997212c45
                © 2019
                History

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