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一种用于花样滑冰跳跃检测的可穿戴系统。

A Wearable System for Jump Detection in Inline Figure Skating.

机构信息

Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia, 30172 Venice, Italy.

出版信息

Sensors (Basel). 2022 Feb 20;22(4):1650. doi: 10.3390/s22041650.

DOI:10.3390/s22041650
PMID:35214552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8876048/
Abstract

This article presents the design and experimental evaluation of a non-invasive wearable sensor system that can be used to acquire crucial information about athletes' performance during inline figure skating training. By combining distance and time-of-flight sensors and gyroscopes, the system is able to detect when jumps are performed and provides a live view of the data (e.g., the number and height of jumps) through a graphical user interface. The main novelty of our approach lies in the way in which the optical sensors are orientated. Typically, the sensors are orientated horizontally and positioned in pairs on the ground, where they measure the time interval between the moment the athlete leaves the ground and the moment they land. In our system, an optical sensor is placed under each foot and is vertically orientated so as to constantly measure the distance from the ground. In addition, a gyroscope sensor is placed on the athlete's back, which provides information on the direction and angular momentum of the movement. By combining this data, the system provides the accurate detection of various jumps and technical elements without any constraints on the training ground. In this paper, the system is also compared to similar platforms in the literature, although there are no other specific systems that are available for inline figure skating. The results of the experimental evaluation, which was performed by high profile athletes, confirm its effectiveness in correctly detecting jumps, especially considering its compromise between precision and the overall cost of the equipment.

摘要

本文提出了一种非侵入式可穿戴传感器系统的设计和实验评估,该系统可用于获取直排轮滑训练中运动员表现的关键信息。通过结合距离和飞行时间传感器以及陀螺仪,该系统能够检测跳跃的发生,并通过图形用户界面实时显示数据(例如,跳跃的次数和高度)。我们方法的主要新颖之处在于光学传感器的定向方式。通常,传感器水平定向,并成对放置在地面上,用于测量运动员离地和落地之间的时间间隔。在我们的系统中,每个脚下方都放置一个垂直定向的光学传感器,以便持续测量与地面的距离。此外,运动员背部还放置了一个陀螺仪传感器,用于提供运动方向和角动量的信息。通过结合这些数据,系统能够在不受训练场限制的情况下准确检测各种跳跃和技术动作。本文还将该系统与文献中的类似平台进行了比较,尽管没有专门针对直排轮滑的其他特定系统。通过由知名运动员进行的实验评估结果证实了该系统在正确检测跳跃方面的有效性,特别是考虑到其在精度和设备总成本之间的折衷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/d93a12a6e29f/sensors-22-01650-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/84cd31ebb192/sensors-22-01650-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/d5b59fb83a3a/sensors-22-01650-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/20017ebaec09/sensors-22-01650-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/d93a12a6e29f/sensors-22-01650-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/f142f0567248/sensors-22-01650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/50b773cf409b/sensors-22-01650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/085563649f10/sensors-22-01650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/7a931437b742/sensors-22-01650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/11722cf3284e/sensors-22-01650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/30c01fb5362d/sensors-22-01650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/84cd31ebb192/sensors-22-01650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/d1e0b754fd65/sensors-22-01650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/d5b59fb83a3a/sensors-22-01650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/2740e2987923/sensors-22-01650-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/dd51a26c5810/sensors-22-01650-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/20017ebaec09/sensors-22-01650-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba67/8876048/d93a12a6e29f/sensors-22-01650-g013.jpg

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本文引用的文献

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PLoS One. 2018 Nov 21;13(11):e0206162. doi: 10.1371/journal.pone.0206162. eCollection 2018.
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Wearable Hardware Design for the Internet of Medical Things (IoMT).可穿戴硬件设计在医疗物联网(IoMT)中的应用。
Sensors (Basel). 2018 Nov 7;18(11):3812. doi: 10.3390/s18113812.
3
Traditional vs. Sport-Specific Vertical Jump Tests: Reliability, Validity, and Relationship With the Legs Strength and Sprint Performance in Adult and Teen Soccer and Basketball Players.
传统垂直纵跳测试与专项运动垂直纵跳测试的比较:成年及青少年足球和篮球运动员的可靠性、有效性及其与腿部力量和短跑成绩的关系
J Strength Cond Res. 2017 Jan;31(1):196-206. doi: 10.1519/JSC.0000000000001476.
4
Online decoding of hidden Markov models for gait event detection using foot-mounted gyroscopes.使用足部安装的陀螺仪在线解码隐马尔可夫模型以检测步态事件。
IEEE J Biomed Health Inform. 2014 Jul;18(4):1122-30. doi: 10.1109/JBHI.2013.2293887.
5
The type of mat (Contact vs. Photocell) affects vertical jump height estimated from flight time.垫子的类型(接触式与光电式)会影响根据飞行时间估算的垂直跳跃高度。
J Strength Cond Res. 2013 Apr;27(4):1162-7. doi: 10.1519/JSC.0b013e31826520d7.
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Video analysis of falls experienced by paediatric iceskaters and roller/inline skaters.对儿童滑冰运动员和轮滑/直排轮滑运动员摔倒情况的视频分析。
Br J Sports Med. 2006 Mar;40(3):268-71. doi: 10.1136/bjsm.2005.022855.
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The validation of a new method that measures contact and flight times during vertical jump.一种测量垂直跳跃过程中接触时间和飞行时间的新方法的验证。
Int J Sports Med. 2005 May;26(4):294-302. doi: 10.1055/s-2004-820962.