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微软Kinect在测量跑步机行走时步态参数方面的准确性。

Accuracy of the Microsoft Kinect for measuring gait parameters during treadmill walking.

作者信息

Xu Xu, McGorry Raymond W, Chou Li-Shan, Lin Jia-Hua, Chang Chien-Chi

机构信息

Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA.

Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA.

出版信息

Gait Posture. 2015 Jul;42(2):145-51. doi: 10.1016/j.gaitpost.2015.05.002. Epub 2015 May 14.

Abstract

The measurement of gait parameters normally requires motion tracking systems combined with force plates, which limits the measurement to laboratory settings. In some recent studies, the possibility of using the portable, low cost, and marker-less Microsoft Kinect sensor to measure gait parameters on over-ground walking has been examined. The current study further examined the accuracy level of the Kinect sensor for assessment of various gait parameters during treadmill walking under different walking speeds. Twenty healthy participants walked on the treadmill and their full body kinematics data were measured by a Kinect sensor and a motion tracking system, concurrently. Spatiotemporal gait parameters and knee and hip joint angles were extracted from the two devices and were compared. The results showed that the accuracy levels when using the Kinect sensor varied across the gait parameters. Average heel strike frame errors were 0.18 and 0.30 frames for the right and left foot, respectively, while average toe off frame errors were -2.25 and -2.61 frames, respectively, across all participants and all walking speeds. The temporal gait parameters based purely on heel strike have less error than the temporal gait parameters based on toe off. The Kinect sensor can follow the trend of the joint trajectories for the knee and hip joints, though there was substantial error in magnitudes. The walking speed was also found to significantly affect the identified timing of toe off. The results of the study suggest that the Kinect sensor may be used as an alternative device to measure some gait parameters for treadmill walking, depending on the desired accuracy level.

摘要

步态参数的测量通常需要将运动跟踪系统与测力板相结合,这使得测量只能在实验室环境中进行。在最近的一些研究中,已经探讨了使用便携式、低成本且无需标记的微软Kinect传感器来测量地面行走时步态参数的可能性。本研究进一步考察了Kinect传感器在不同步行速度下对跑步机行走过程中各种步态参数评估的准确程度。20名健康参与者在跑步机上行走,同时通过Kinect传感器和运动跟踪系统测量他们的全身运动学数据。从这两种设备中提取时空步态参数以及膝关节和髋关节角度,并进行比较。结果表明,使用Kinect传感器时的准确程度因步态参数而异。在所有参与者和所有步行速度下,右脚和左脚的平均足跟触地帧数误差分别为0.18帧和0.30帧,而平均足尖离地帧数误差分别为-2.25帧和-2.61帧。纯粹基于足跟触地得出的时间步态参数比基于足尖离地得出的时间步态参数误差更小。Kinect传感器能够跟踪膝关节和髋关节的关节轨迹趋势,尽管在幅度上存在较大误差。研究还发现步行速度对识别出的足尖离地时间有显著影响。研究结果表明,根据所需的准确程度,Kinect传感器可作为测量跑步机行走某些步态参数的替代设备。

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