Literature DB >> 33513728

Comfortable and Convenient Turning Skill Assessment for Alpine Skiers Using IMU and Plantar Pressure Distribution Sensors.

Seiji Matsumura1,2, Ken Ohta1, Shin-Ichiroh Yamamoto3, Yasuharu Koike4, Toshitaka Kimura1.   

Abstract

Improving ski-turn skills is of interest to both competitive and recreational skiers, but it is not easy to improve on one's own. Although studies have reported various methods of ski-turn skill evaluation, a simple method that can be used by oneself has not yet been established. In this study, we have proposed a comfortable method to assess ski-turn skills; this method enables skiers to easily understand the relationship between body control and ski motion. One expert skier and four intermediate skiers participated in this study. Small inertial measurement units (IMUs) and mobile plantar pressure distribution sensors were used to capture data while skiing, and three ski-turn features-ski motion, waist rotation, and how load is applied to the skis-as well as their symmetry, were assessed. The results showed that the motions of skiing and the waist in the expert skier were significantly larger than those in intermediate skiers. Additionally, we found that the expert skier only slightly used the heel to apply a load to the skis (heel load ratio: approximately 60%) and made more symmetrical turns than the intermediate skiers did. This study will provide a method for recreational skiers, in particular, to conveniently and quantitatively evaluate their ski-turn skills by themselves.

Entities:  

Keywords:  actual field evaluation; feature detection; inertial measurement units (IMU); plantar pressure distribution sensors; ski; skill assessment; sports performance

Year:  2021        PMID: 33513728     DOI: 10.3390/s21030834

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Proposal of an Alpine Skiing Kinematic Analysis with the Aid of Miniaturized Monitoring Sensors, a Pilot Study.

Authors:  Caterina Russo; Elena Puppo; Stefania Roati; Aurelio Somà
Journal:  Sensors (Basel)       Date:  2022-06-04       Impact factor: 3.847

2.  Development and Evaluation of a Low-Drift Inertial Sensor-Based System for Analysis of Alpine Skiing Performance.

Authors:  Isidoro Ruiz-García; Ismael Navarro-Marchal; Javier Ocaña-Wilhelmi; Alberto J Palma; Pablo J Gómez-López; Miguel A Carvajal
Journal:  Sensors (Basel)       Date:  2021-04-02       Impact factor: 3.576

3.  AI-enabled prediction of video game player performance using the data from heterogeneous sensors.

Authors:  Anton Smerdov; Andrey Somov; Evgeny Burnaev; Anton Stepanov
Journal:  Multimed Tools Appl       Date:  2022-08-23       Impact factor: 2.577

  3 in total

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