Literature DB >> 26209087

An inertial sensor-based system for spatio-temporal analysis in classic cross-country skiing diagonal technique.

Benedikt Fasel1, Julien Favre2, Julien Chardonnens2, Gérald Gremion3, Kamiar Aminian2.   

Abstract

The present study proposes a method based on ski fixed inertial sensors to automatically compute spatio-temporal parameters (phase durations, cycle speed and cycle length) for the diagonal stride in classical cross-country skiing. The proposed system was validated against a marker-based motion capture system during indoor treadmill skiing. Skiing movement of 10 junior to world-cup athletes was measured for four different conditions. The accuracy (i.e. median error) and precision (i.e. interquartile range of error) of the system was below 6 ms for cycle duration and ski thrust duration and below 35 ms for pole push duration. Cycle speed precision (accuracy) was below 0.1m/s (0.00 5m/s) and cycle length precision (accuracy) was below 0.15m (0.005 m). The system was sensitive to changes of conditions and was accurate enough to detect significant differences reported in previous studies. Since capture volume is not limited and setup is simple, the system would be well suited for outdoor measurements on snow.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cross-country skiing; Diagonal stride; Inertial sensors; Phase detection; Spatio-temporal parameters

Mesh:

Year:  2015        PMID: 26209087     DOI: 10.1016/j.jbiomech.2015.07.001

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  11 in total

1.  Optimal slopes and speeds in uphill ski mountaineering: a field study.

Authors:  Caroline Praz; Benedikt Fasel; Philippe Vuistiner; Kamiar Aminian; Bengt Kayser
Journal:  Eur J Appl Physiol       Date:  2016-08-17       Impact factor: 3.078

2.  Optimal slopes and speeds in uphill ski mountaineering: a laboratory study.

Authors:  Caroline Praz; Benedikt Fasel; Philippe Vuistiner; Kamiar Aminian; Bengt Kayser
Journal:  Eur J Appl Physiol       Date:  2016-03-30       Impact factor: 3.078

Review 3.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

4.  Validation of functional calibration and strap-down joint drift correction for computing 3D joint angles of knee, hip, and trunk in alpine skiing.

Authors:  Benedikt Fasel; Jörg Spörri; Pascal Schütz; Silvio Lorenzetti; Kamiar Aminian
Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

5.  A Unified Deep-Learning Model for Classifying the Cross-Country Skiing Techniques Using Wearable Gyroscope Sensors.

Authors:  Jihyeok Jang; Ankit Ankit; Jinhyeok Kim; Young Jae Jang; Hye Young Kim; Jin Hae Kim; Shuping Xiong
Journal:  Sensors (Basel)       Date:  2018-11-07       Impact factor: 3.576

6.  Ski Position during the Flight and Landing Preparation Phases in Ski Jumping Detected with Inertial Sensors.

Authors:  Veronica Bessone; Johannes Petrat; Ansgar Schwirtz
Journal:  Sensors (Basel)       Date:  2019-06-06       Impact factor: 3.576

7.  Classification of Cross-Country Ski Skating Sub-Technique Can Be Automated Using Carrier-Phase Differential GNSS Measurements of the Head's Position.

Authors:  Øyvind Gløersen; Matthias Gilgien
Journal:  Sensors (Basel)       Date:  2021-04-12       Impact factor: 3.576

8.  Validation of temporal parameters within the skating sub-techniques when roller skiing on a treadmill, using inertial measurement units.

Authors:  Frédéric Meyer; Trine M Seeberg; Jan Kocbach; Jørgen Danielsen; Øyvind Sandbakk; Andreas Austeng
Journal:  PLoS One       Date:  2022-08-18       Impact factor: 3.752

9.  Automatic Identification of Subtechniques in Skating-Style Roller Skiing Using Inertial Sensors.

Authors:  Yoshihisa Sakurai; Zenya Fujita; Yusuke Ishige
Journal:  Sensors (Basel)       Date:  2016-04-02       Impact factor: 3.576

10.  In-Field Validation of an Inertial Sensor-Based System for Movement Analysis and Classification in Ski Mountaineering.

Authors:  Jules Gellaerts; Evgeny Bogdanov; Farzin Dadashi; Benoit Mariani
Journal:  Sensors (Basel)       Date:  2018-03-16       Impact factor: 3.576

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