Evidence map›Paper›PMID 33918498›Full record

ArticleSensors (Basel, Switzerland)2021

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

Isidoro Ruiz-García, Ismael Navarro-Marchal, Javier Ocaña-Wilhelmi, Alberto J Palma, Pablo J Gómez-López, Miguel A Carvajal

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Isidoro Ruiz-GarcíaECSens, iMUDS, Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.ORCID 0000-0002-2522-6108
Ismael Navarro-MarchalSkiingLab, iMUDS, Department of Physical and Sport Education, Sport and Health University Research Institute (iMUDS), University of Granada, 18007 Granada, Spain.
Javier Ocaña-WilhelmiSkiingLab, iMUDS, Department of Physical and Sport Education, Sport and Health University Research Institute (iMUDS), University of Granada, 18007 Granada, Spain.
Alberto J PalmaECSens, iMUDS, Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.ORCID 0000-0001-9050-5413
Pablo J Gómez-LópezSkiingLab, iMUDS, Department of Physical and Sport Education, Sport and Health University Research Institute (iMUDS), University of Granada, 18007 Granada, Spain.ORCID 0000-0001-7249-6541
Miguel A CarvajalECSens, iMUDS, Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain.ORCID 0000-0003-0234-4758
Universidad de Granada · ES

Funding

Agencia de Innovación y Desarrollo de Andalucía B-TIC-468-UGR18
6 · The paper itself

Abstract

In skiing it is important to know how the skier accelerates and inclines the skis during the turn to avoid injuries and improve technique. The purpose of this pilot study with three participants was to develop and evaluate a compact, wireless, and low-cost system for detecting the inclination and acceleration of skis in the field based on inertial measurement units (IMU). To that end, a commercial IMU board was placed on each ski behind the skier boot. With the use of an attitude and heading reference system algorithm included in the sensor board, the orientation and attitude data of the skis were obtained (roll, pitch, and yaw) by IMU sensor data fusion. Results demonstrate that the proposed IMU-based system can provide reliable low-drifted data up to 11 min of continuous usage in the worst case. Inertial angle data from the IMU-based system were compared with the data collected by a video-based 3D-kinematic reference system to evaluate its operation in terms of data correlation and system performance. Correlation coefficients between 0.889 (roll) and 0.991 (yaw) were obtained. Mean biases from -1.13° (roll) to 0.44° (yaw) and 95% limits of agreements from 2.87° (yaw) to 6.27° (roll) were calculated for the 1-min trials. Although low mean biases were achieved, some limitations arose in the system precision for pitch and roll estimations that could be due to the low sampling rate allowed by the sensor data fusion algorithm and the initial zeroing of the gyroscope.

Indexed as

SkiingAccelerationAlgorithmsBiomechanical PhenomenaHumansPilot Projectsaccelerometeralpine skiinginertial sensorkinematicskineticsphotogrammetry 3D

Identifiers

PMID33918498
PMCPMC8038258
OpenAlexW3147283420

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.