Comparing Microsoft Kinect and Observational Gait Analysis in Assessing Gait Parameters of Apparently Healthy Adults

Chidozie Emmanuel Mbada, Emmanuel Oluwatosin Abata, Omoniyi Ayokunle Ojapinwa, Saturday Nicholas Oghumu, Adekola Ademogoyegun, Francis Fatoye
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Abstract

Objectives: Although the Microsoft Kinect has compelling potential for gait analysis in medicine, data available to compare it with observational gait analysis (OGA) is scarce. This study compared the Microsoft Kinect and the OGA in assessing the gait parameters of apparently healthy adults. Methods: Ninety-seven apparently healthy young male adults participated in this comparative study. First, the participant’s age, height, weight, and body mass index were obtained. Afterward, gait parameters involving the number of steps, cadence, stride length, and step length were assessed concurrently following OGA standard procedures and the Microsoft Kinect during a 6-m walk down the hallway. The obtained data were analyzed using descriptive and inferential statistics. The significance level was set at P<0.05. Results: The Mean±SD walk time, steps, cadence, velocity, and stride length were 8.07±1.39 s, 14.0±2.96 counts, 72.9±11.9 steps/min, 0.8±0.13 m/s, and 0.77±0.13m, respectively. Step length was significantly higher (P<0.05) with Microsoft Kinect than OGA, whereas stride length and walk speed values were significantly (P<0.05) lower with Microsoft Kinect. A moderate but significant (P=0.001) positive correlation existed between Microsoft Kinect and OGA regarding walk speed. In contrast, regarding the step length, a weak but significant (P<0.05) positive correlation was found between Microsoft Kinect and OGA. Discussion: Step length values of Microsoft Kinect were significantly higher than OGA values, whereas stride length and walk speed values of Microsoft Kinect were significantly lower than OGA values. Walk speed and step length measured by Microsoft Kinect and OGA were positively correlated.
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比较微软Kinect和观察步态分析评估步态参数的表面健康成人
目的:尽管微软Kinect在医学步态分析方面具有令人信服的潜力,但将其与观察性步态分析(OGA)进行比较的数据很少。这项研究比较了微软Kinect和OGA在评估明显健康成年人的步态参数方面的差异。方法:97名表面健康的年轻成年男性参与了这项比较研究。首先,获得参与者的年龄、身高、体重和身体质量指数。随后,步态参数包括步数、节奏、步幅和步长,同时按照OGA标准程序和微软Kinect在走廊上走6米时进行评估。所得数据采用描述性统计和推理统计进行分析。显著性水平设为P<0.05。结果:平均±SD步行时间、步数、步速、步幅分别为8.07±1.39 s、14.0±2.96次、72.9±11.9步/min、0.8±0.13 m/s、0.77±0.13m。Microsoft Kinect组的步长显著高于OGA组(P<0.05),而步长和步行速度显著低于OGA组(P<0.05)。微软Kinect与OGA在行走速度方面存在中度但显著的正相关(P=0.001)。相比之下,在步长方面,微软Kinect与OGA之间存在微弱但显著的正相关(P<0.05)。讨论:Microsoft Kinect的步长值显著高于OGA值,而Microsoft Kinect的步长和步行速度值显著低于OGA值。由微软Kinect测量的步行速度和步长与OGA呈正相关。
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来源期刊
Iranian Rehabilitation Journal
Iranian Rehabilitation Journal Medicine-Rehabilitation
CiteScore
0.60
自引率
0.00%
发文量
12
审稿时长
6 weeks
期刊介绍: Iranian Rehabilitation Journal aims to provide the readers with a variety of topics, including: original articles, hypothesis formation, editorials, literature reviews, case reports, short communications, special reports, letters to the editor, discussions of public policy issues and book reviews, and methodology articles in the fields of rehabilitation and social welfare, including (but not limited to): -Clinical and basic research in various special needs groups -Physical and mental rehabilitation -Epidemiological studies on disabling conditions -Biostatistics -Vocational and socio-medical aspects of rehabilitation IRJ also welcomes papers focusing on the genetic basis of common disabling disorders across human populations. Those studies may include (but not limited to): -The genetic basis of common single gene and complex disorders. -Bioinformatics tools to investigate and to model biological phenomena -Novel computational tools and databases -Sequence analysis -Population analysis -Databases and text mining
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