Gaussian mixture modeling of acceleration-derived signal for monitoring external physical load of tennis player.

ABSTRACT: Introduction: With the widespread use of wearable sensors, various methods to evaluate external physical loads using acceleration signals measured by inertial sensors in sporting activities have been proposed. Acceleration-derived external physical loads have been evaluated as a simple indicator, such as the mean or cumulative values of the target interval. However, such a conventional simplified indicator may not adequately represent the features of the external physical load in sporting activities involving various movement intensities. Therefore, we propose a method to evaluate the external physical load of tennis player based on the histogram of acceleration-derived signal obtained from wearable inertial sensors. Methods: Twenty-eight matches of 14 male collegiate players

SUBMITTER: Marutani Y 

PROVIDER: S-EPMC10079886 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature