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

التفاصيل البيبلوغرافية
العنوان: Development of a simple algorithm to detect big air jumps and jumps during skiing.
المؤلفون: Stefan Kranzinger, Christina Kranzinger, Aaron Martinez Alvarez, Thomas Stöggl
المصدر: PLoS ONE, Vol 19, Iss 7, p e0307255 (2024)
بيانات النشر: Public Library of Science (PLoS), 2024.
سنة النشر: 2024
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0307255
URL الوصول: https://doaj.org/article/d14724f655a742f195f2c1ed000c207d
رقم الأكسشن: edsdoj.14724f655a742f195f2c1ed000c207d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0307255