Abstract

In this paper, we present an analysis to identify a sensor location for an inertial measurement unit (IMU) on the body of a skier and propose the best location to capture turn motions for training. We also validate the manner in which the data from the IMU sensor on the proposed location can characterize ski turns and performance with a series of statistical analyses, including a comparison with data collected from foot pressure sensors. The goal of the study is to logically identify the ideal location on the skier’s body to attach the IMU sensor and the best use of the data collected for the skier. The statistical analyses and the hierarchical clustering method indicate that the pelvis is the best location for attachment of an IMU, and numerical validation shows that the data collected from this location can effectively estimate the performance and characteristics of the skier. Moreover, placement of the sensor at this location does not distract the skier’s motion, and the sensor can be easily attached and detached. The findings of this study can be used for the development of a wearable device for the routine training of professional skiers.

Highlights

  • The sports organizations of today are embracing their roles as entertainment providers [1,2].Technology, in various forms, has been utilized in sports for many years and plays a vital role in elite sports

  • We propose a method based on an inertial measurement unit (IMU) sensor for the analysis of turn performance that can be conveniently and effectively used by professional skiers while training

  • Because the results are identical, it can be statistically inferred that the IMU sensor at the pelvis is as capable of analyzing the lateral asymmetric performance as the foot pressure sensors

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Summary

Introduction

Technology, in various forms, has been utilized in sports for many years and plays a vital role in elite sports. Technological advancements at the elite level may flow down to consumers and be used by the entertainment industry [3]. There are new types of gadgets to calculate the speed of a pitch, the strength of a putt, the arch of a basketball toss and the quality of a serve. These pro-level gadgets are coming to casual sports and eventually will create a new approach to improve performance, as well as a new way to entertain in sports [4]. The performance of turns greatly affects overall performance or a racer’s time; as a result, significant interest has been shown in the use of motion analysis of ski turns to improve

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