ArticleSensors (Basel, Switzerland)2018
In-Field Validation of an Inertial Sensor-Based System for Movement Analysis and Classification in Ski Mountaineering.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed.
- Article
- Key transition technology of ski jumping based on inertial motion unit, kinematics and dynamics.Biomedical engineering online · 2023Article
- Exceptional Performance in Competitive Ski Mountaineering: An Inertial Sensor Case Study.Frontiers in sports and active living · 2022Article
- Physiological Responses and Predictors of Performance in a Simulated Competitive Ski Mountaineering Race.Journal of sports science & medicine · 2021Article
- Comfortable and Convenient Turning Skill Assessment for Alpine Skiers Using IMU and Plantar Pressure Distribution Sensors.Sensors (Basel, Switzerland) · 2021Article
- Ski Mountaineering: Perspectives on a Novel Sport to Be Introduced at the 2026 Winter Olympic Games.Frontiers in physiology · 2021Article
- Steeper or Faster? Tactical Dispositions to Minimize Oxygen Cost in Ski Mountaineering.Frontiers in sports and active living · 2021Article
- Ski Position during the Flight and Landing Preparation Phases in Ski Jumping Detected with Inertial Sensors.Sensors (Basel, Switzerland) · 2019Article
- NordicWalking Performance Analysis with an Integrated Monitoring System.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ski Mountaineering (SkiMo) is a fast growing sport requiring both endurance and technical skills. It involves different types of locomotion with and without the skis. The aim of this study is to develop and validate in the snowfield a novel inertial-based system for analysing cycle parameters and classifying movement in SkiMo in real-time. The study was divided into two parts, one focused on real-time parameters estimation (cadence, distance from strides, stride duration, stride length, number of strides, slope gradient, and power) and, second, on transition detection (kickturns, skin on, skin off, ski on and off backpack) in order to classify between the different types of locomotion. Experimental protocol involved 16 experienced subjects who performed different SkiMo trials with their own equipment instrumented with a ski-mounted inertial sensor. The results obtained by the algorithm showed precise results with a relative error near 5% on all parameters. The developed system can, therefore, be used by skiers to obtain quantitative training data analysis and real-time feedback in the field. Nevertheless, a deeper validation of this algorithm might be necessary in order to confirm the accuracy on a wider population of subjects with various skill levels.
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Registered trials
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.