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开发一种视频相机式皮艇运动捕捉系统,用于测量皮划艇运动。

Development of a video camera-type kayak motion capture system to measure water kayaking.

机构信息

Rehabilitation Unit, University of Miyazaki Hospital, Miyazaki, Japan.

Department of Mechanical Engineering, Faculty of Engineering, University of Miyazaki, Miyazaki, Japan.

出版信息

PeerJ. 2023 Jul 21;11:e15227. doi: 10.7717/peerj.15227. eCollection 2023.

Abstract

BACKGROUND

In kayaking, trunk motion is one of the important factors that prevent injury and improve performance. Kinematic studies in kayaking have been reported in laboratory settings using paddling simulators and ergometers. However, such studies do not reflect kayaking on water, the actual competitive environment. Therefore, we developed a video camera-type kayak motion capture system (KMCS) wherein action cameras were fixed to a kayak to capture images of markers attached to an athlete's body. This study aimed to compare the kinematic data between KMCS and an optical motion capture system (OMCS) in kayaking and to determine the accuracy of the KMCS analysis.

METHODS

In a competition, five elite junior female kayak athletes performed kayak paddling under the unloaded condition using a kayak. The kayak was secured using a tri-folding bench and a towel, and twenty strokes were recorded during maximal paddling. One stroke was defined as the period from right catch to left catch, and the first six strokes were used to evaluate the accuracy. Trunk angles (tilting, turning, and rotation) were examined with the simultaneous use of KMCS and OMCS, and the differences between these systems were evaluated. To ensure reliability, intraclass correlation coefficient (ICC; a two-way mixed model for absolute agreement) was calculated for each angle. Furthermore, Bland-Altman analysis was performed to understand the agreement between the two systems.

RESULTS

Root mean square errors (RMSEs) were 1.42° and 3.94° for turning and rotation, respectively, and mean absolute errors (MAEs) were 1.08° and 3.00° for turning and rotation, respectively. The RMSE and MAE for tilting were 2.43° and 1.76°, respectively, which indicated that the validity was comparable to that of other angles. However, the range of motion in tilting was lower than that in turning and rotation. Bland-Altman analysis showed good agreement in the total range of motion, with mean bias values of -0.84°, -0.07°, and -0.41° for tilting, turning, and rotation, respectively. The ICCs for tilting, turning, and rotation were 0.966, 0.985, and 0.973, respectively, and showed excellent reliability.

CONCLUSIONS

The newly developed KMCS effectively measured the trunk motion with good accuracy in kayaking. In future studies, we intend to use KMCS to measure kayaking on water and collect data for performance improvement and injury prevention.

摘要

背景

在皮划艇运动中,躯干运动是防止受伤和提高成绩的重要因素之一。皮划艇运动的运动学研究已经在实验室环境中使用划桨模拟器和测力计进行了报道。然而,这些研究并没有反映出在水上进行的皮划艇运动,即实际的竞技环境。因此,我们开发了一种视频相机式皮划艇运动捕捉系统(KMCS),其中动作相机固定在皮划艇上,以捕捉附着在运动员身体上的标记的图像。本研究旨在比较 KMCS 和光学运动捕捉系统(OMCS)在皮划艇中的运动学数据,并确定 KMCS 分析的准确性。

方法

在一项比赛中,五名优秀的初级女皮划艇运动员在无负载条件下使用皮划艇进行皮划艇划桨。使用三折凳和毛巾将皮划艇固定,在最大划桨时记录二十下。一划被定义为从右抓水到左抓水的周期,前六下用于评估准确性。同时使用 KMCS 和 OMCS 检查躯干角度(倾斜、转动和旋转),并评估这两个系统之间的差异。为了确保可靠性,计算了每个角度的组内相关系数(ICC;双向混合模型用于绝对一致性)。此外,还进行了 Bland-Altman 分析,以了解两个系统之间的一致性。

结果

转动和旋转的均方根误差(RMSE)分别为 1.42°和 3.94°,平均绝对误差(MAE)分别为 1.08°和 3.00°。倾斜的 RMSE 和 MAE 分别为 2.43°和 1.76°,这表明其有效性与其他角度相当。然而,倾斜的运动范围低于转动和旋转。Bland-Altman 分析表明,在总运动范围内具有良好的一致性,倾斜、转动和旋转的平均偏差值分别为-0.84°、-0.07°和-0.41°。倾斜、转动和旋转的 ICC 分别为 0.966、0.985 和 0.973,具有极好的可靠性。

结论

新开发的 KMCS 可有效测量皮划艇中的躯干运动,具有较高的准确性。在未来的研究中,我们打算使用 KMCS 测量水上皮划艇运动,并收集数据以提高成绩和预防受伤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8f1/10364805/89c6509850a2/peerj-11-15227-g001.jpg

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