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77 Mendeley
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Article details
Title
Validity of the Microsoft Kinect™ in assessing spatiotemporal and lower extremity kinematics during stair ascent and descent in healthy young individuals
Published in
Medical Engineering & Physics, August 2018
DOI 10.1016/j.medengphy.2018.07.011
Pubmed ID
Authors
Abstract

Stair negotiation is one of the most challenging, yet frequently encountered, locomotor tasks in daily life. This study is the first attempt to investigate the capacity of the Kinect™ sensor to assess stair negotiation spatiotemporal and sagittal plane kinematic variables. The goal of this study was to examine the validity of the Kinect™ v2 sensor in assessing lower extremity kinematics and spatiotemporal parameters in healthy young individuals; and to demonstrate its potential as a low-cost stair gait analysis tool. Twelve healthy participants ascended and descended a 3-step custom-built staircase at their preferred speed, as spatiotemporal parameters and kinematics were extracted simultaneously using the Kinect™ and a three-dimensional motion analysis. Spatiotemporal measures included gait speed, swing phase time, and double stance time. Kinematic outcomes included hip, knee, and ankle joint angles in the sagittal plane. Consistency (ICC2,1) and absolute agreement (ICC3,1) between the two systems were assessed using separate interclass correlations coefficients. In addition, ensemble curves and associated 90% confidence intervals (CI90) were generated for the hip, knee, and ankle kinematics to enable between system comparisons throughout the gait cycle. Results showed that the Kinect™ has the potential to be an effective clinical assessment device for sagittal plane hip and knee joint kinematics and for some spatiotemporal parameters during the stair gait negotiation.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 14%
Student > Ph. D. Student 10 13%
Researcher 7 9%
Lecturer 5 6%
Student > Bachelor 5 6%
Other 13 17%
Unknown 26 34%
Readers by discipline
Readers by discipline Count As %
Engineering 14 18%
Medicine and Dentistry 11 14%
Nursing and Health Professions 6 8%
Computer Science 5 6%
Sports and Recreations 2 3%
Other 5 6%
Unknown 34 44%