Development of a simple algorithm to detect big air jumps and jumps during skiing

Jumping is an important task in skiing, snowboarding, ski jumping, figure skating, volleyball and many other sports. In these examples, jumping tasks are a performance criterion, and therefore detailed insight into them is important for athletes and coaches. Therefore, this paper aims to introduce a...

Full description

Saved in:
Bibliographic Details
Published in:PloS one Vol. 19; no. 7; p. e0307255
Main Authors: Kranzinger, Stefan, Kranzinger, Christina, Martinez Alvarez, Aaron, Stöggl, Thomas
Format: Journal Article
Language:English
Published: United States Public Library of Science 18.07.2024
Public Library of Science (PLoS)
Subjects:
Acceleration
Accelerometers
Algorithms
Analysis
Athletes
Athletic Performance - physiology
Biology and Life Sciences
Biomechanical Phenomena
Computer and Information Sciences
Data visualization
Engineering and Technology
Fuzzy logic
Humans
Inertial platforms
Jumping
Male
Physical Sciences
Research and Analysis Methods
Sensors
Skiing
Skiing - physiology
Snowboarding
Social Sciences
Winter sports
ISSN:1932-6203, 1932-6203
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Jumping is an important task in skiing, snowboarding, ski jumping, figure skating, volleyball and many other sports. In these examples, jumping tasks are a performance criterion, and therefore detailed insight into them is important for athletes and coaches. Therefore, this paper aims to introduce a simple and easy-to-implement jump detection algorithm for skiing using acceleration data from inertial measurement units attached to ski boots. The algorithm uses the average of the absolute vertical accelerations of the two boots. We provide results for different parameter settings of the algorithm and two types of jumps: Big Air jumps and jumps during skiing . The latter are divided into small (time of flight < 500 ms) and medium (time of flight ≥ 500 ms) jumps. The algorithm detects 100% of Big Air , 94% of medium and 44% of small jumps . In addition, the settings with the highest detection rates also have the highest number of overdetected jumps. To resolve this conflict, a penalty-adjusted score that considers the number of overdetected jumps in the final performance analysis is proposed.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0307255