Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions.

ABSTRACT: Running-related overuse injuries can result from a combination of various intrinsic (e.g., gait biomechanics) and extrinsic (e.g., running surface) risk factors. However, it is unknown how changes in environmental weather conditions affect running gait biomechanical patterns since these data cannot be collected in a laboratory setting. Therefore, the purpose of this study was to develop a classification model based on subject-specific changes in biomechanical running patterns across two different environmental weather conditions using data obtained from wearable sensors in real-world environments. Running gait data were recorded during winter and spring sessions, with recorded average air temperatures of -10° C and +6° C, respectively. Classification was performed based on measurements of

SUBMITTER: Ahamed NU 

PROVIDER: S-EPMC6143236 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature