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首页> 外文期刊>Gait & posture >Validity of the Microsoft Kinect for providing lateral trunk lean feedback during gait retraining
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Validity of the Microsoft Kinect for providing lateral trunk lean feedback during gait retraining

机译：Microsoft Kinect在步态再训练过程中提供侧向躯干倾斜反馈的有效性

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Gait retraining programs are prescribed to assist in the rehabilitation process of many clinical conditions. Using lateral trunk lean modification as the model, the aim of this study was to assess the concurrent validity of kinematic data recorded using a marker-based 3D motion analysis (3DMA) system and a low-cost alternative, the Microsoft Kinect? (Kinect), during a gait retraining session. Twenty healthy adults were trained to modify their gait to obtain a lateral trunk lean angle of 10°. Real-time biofeedback of the lateral trunk lean angle was provided on a computer screen in front of the subject using data extracted from the Kinect skeletal tracking algorithm. Marker coordinate data were concurrently recorded using the 3DMA system, and the similarity and equivalency of the trunk lean angle data from each system were compared. The lateral trunk lean angle data obtained from the Kinect system without any form of calibration resulted in errors of a high (>2°) magnitude (mean error = 3.2 ± 2.2°). Performing global and individualized calibration significantly ( P<. 0.001) improved this error to 1.7 ± 1.5° and 0.8 ± 0.8° respectively. With the addition of a simple calibration the anatomical position coordinates of the Kinect can be used to create a real-time biofeedback system for gait retraining. Given that this system is low-cost, portable and does not require any sensors to be attached to the body, it could provide numerous advantages when compared to laboratory-based gait retraining systems.
机译：规定了步态再训练计划，以帮助许多临床状况的康复过程。以侧向躯干瘦身修改为模型，本研究的目的是评估使用基于标记的3D运动分析（3DMA）系统和低成本替代产品Microsoft Kinect记录的运动数据的并发有效性。 （Kinect），在步态再训练期间。对20名健康成年人进行了训练，以改变他们的步态，以获得10°的侧躯干倾斜角。使用从Kinect骨骼跟踪算法中提取的数据，在受检者面前的计算机屏幕上提供了侧躯干倾斜角的实时生物反馈。使用3DMA系统同时记录标记坐标数据，并比较每个系统的行李箱倾斜角数据的相似性和等效性。从Kinect系统获得的横向躯干倾斜角数据，未经任何形式的校准，都会导致高（> 2°）量级的误差（平均误差= 3.2±2.2°）。进行全局和个性化校准显着（P <.0.001）可以将该误差分别提高到1.7±1.5°和0.8±0.8°。通过添加简单的校准，可以将Kinect的解剖位置坐标用于创建用于步态再训练的实时生物反馈系统。鉴于该系统是低成本，便携式的，并且不需要将任何传感器连接到身体，因此与基于实验室的步态再训练系统相比，它可以提供许多优势。

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