Abstract
Gait analysis may enhance clinical practice. However, its use is limited due to the need for expensive equipment which is not always available in clinical settings. Recent evidence suggests that Microsoft Kinect may provide a low cost gait analysis method. The purpose of this report is to critically evaluate the literature describing the concurrent validity of using the Kinect as a gait analysis instrument. An online search of PubMed, CINAHL, and ProQuest databases was performed. Included were studies in which walking was assessed with the Kinect and another gold standard device, and consisted of at least one numerical finding of spatiotemporal or kinematic measures. Our search identified 366 papers, from which 12 relevant studies were retrieved. The results demonstrate that the Kinect is valid only for some spatiotemporal gait parameters. Although the kinematic parameters measured by the Kinect followed the trend of the joint trajectories, they showed poor validity and large errors. In conclusion, the Kinect may have the potential to be used as a tool for measuring spatiotemporal aspects of gait, yet standardized methods should be established, and future examinations with both healthy subjects and clinical participants are required in order to integrate the Kinect as a clinical gait analysis tool.
Highlights
IntroductionRestoration of independent and functional community ambulation is a major rehabilitation goal.A comprehensive gait analysis can detect deviations and impairments underlying reduced function, and may assist in clinical decision making as well as in quantifying rehabilitation effectiveness.Clinical gait analysis may be a useful tool to distinguish between disease entities and to assess general health and risk of disease or injury such as fall detection and prediction among the elderly population [1,2,3].Basic clinical gait assessments are mainly observational or based on gait speed, and are appropriate for evaluating and monitoring functional status and overall health in a wide range of populations [4].Yet, they lack the precision and data richness of instrumented methods that provide the kinematic and spatiotemporal aspects of the gait cycle that are crucial for comprehensive gait analysis [2,3].instrumented gait analysis requires expensive equipment which is not always available in clinical settings
Clinical gait analysis may be a useful tool to distinguish between disease entities and to assess general health and risk of disease or injury such as fall detection and prediction among the elderly population [1,2,3]
The purpose of this work is to identify and critically evaluate the literature describing the concurrent validity of using Kinect as an instrument for gait analysis
Summary
Restoration of independent and functional community ambulation is a major rehabilitation goal.A comprehensive gait analysis can detect deviations and impairments underlying reduced function, and may assist in clinical decision making as well as in quantifying rehabilitation effectiveness.Clinical gait analysis may be a useful tool to distinguish between disease entities and to assess general health and risk of disease or injury such as fall detection and prediction among the elderly population [1,2,3].Basic clinical gait assessments are mainly observational or based on gait speed, and are appropriate for evaluating and monitoring functional status and overall health in a wide range of populations [4].Yet, they lack the precision and data richness of instrumented methods that provide the kinematic and spatiotemporal aspects of the gait cycle that are crucial for comprehensive gait analysis [2,3].instrumented gait analysis requires expensive equipment which is not always available in clinical settings. A comprehensive gait analysis can detect deviations and impairments underlying reduced function, and may assist in clinical decision making as well as in quantifying rehabilitation effectiveness. Basic clinical gait assessments are mainly observational or based on gait speed, and are appropriate for evaluating and monitoring functional status and overall health in a wide range of populations [4]. They lack the precision and data richness of instrumented methods that provide the kinematic and spatiotemporal aspects of the gait cycle that are crucial for comprehensive gait analysis [2,3].
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