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Jonathan Leo Ng, Chris Button, Dave Collins, Susan Giblin and Gavin Kennedy

Microsoft Kinect system (released commercially in 2010) which has been promoted as a practical means for tracking and assessing movement ( Clark et al., 2015 ; Sabel et al., 2016 ; van Diest et al., 2014 ). Such systems are being explored as practical tools to improve functional movement screening for

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Daniel Leightley, Moi Hoon Yap, Jessica Coulson, Mathew Piasecki, James Cameron, Yoann Barnouin, Jon Tobias and Jamie S. McPhee

.A. , Pua , Y.H. , Fortin , K. , Ritchie , C. , Webster , K.E. , Denehy , L. , & Bryant , A.L. ( 2012 ).  Validity of the Microsoft Kinect for assessment of postural control . Gait and Posture, 36 ( 3 ), 372 – 377 . PubMed doi: 10.1016/j.gaitpost.2012.03.033 10.1016/j.gaitpost.2012

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Moataz Eltoukhy, Christopher Kuenze, Jeonghoon Oh, Eryn Apanovitch, Lauren Butler and Joseph F. Signorile

technologies providing objective assessment of high-risk movement patterns by identifying individuals at risk for ACL injury. This study assessed the validity of the Microsoft® Kinect sensor v2 for the measurement of selected trunk and lower-extremity kinematics previously linked to increased ACL loading

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Trent M. Guess, Swithin Razu, Amirhossein Jahandar, Marjorie Skubic and Zhiyu Huo

The Microsoft Kinect is becoming a widely used tool for inexpensive, portable measurement of human motion, with the potential to support clinical assessments of performance and function. In this study, the relative osteokinematic Cardan joint angles of the hip and knee were calculated using the Kinect 2.0 skeletal tracker. The pelvis segments of the default skeletal model were reoriented and 3-dimensional joint angles were compared with a marker-based system during a drop vertical jump and a hip abduction motion. Good agreement between the Kinect and marker-based system were found for knee (correlation coefficient = 0.96, cycle RMS error = 11°, peak flexion difference = 3°) and hip (correlation coefficient = 0.97, cycle RMS = 12°, peak flexion difference = 12°) flexion during the landing phase of the drop vertical jump and for hip abduction/adduction (correlation coefficient = 0.99, cycle RMS error = 7°, peak flexion difference = 8°) during isolated hip motion. Nonsagittal hip and knee angles did not correlate well for the drop vertical jump. When limited to activities in the optimal capture volume and with simple modifications to the skeletal model, the Kinect 2.0 skeletal tracker can provide limited 3-dimensional kinematic information of the lower limbs that may be useful for functional movement assessment.

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Matthew D. Freke, Kay Crossley, Trevor Russell, Kevin J. Sims and Adam Semciw

verified using a universal goniometer applied to the lateral aspect of the test knee. SLSq performance was monitored with the Microsoft Kinect ™ (Redmond, WA) sensor that collected the movement of the participant’s trunk, hip, and knee during a SLSq. A synchronized video recorder was placed 2 m anteriorly

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Katherine L. Hsieh, Yaejin Moon, Vignesh Ramkrishnan, Rama Ratnam and Jacob J. Sosnoff

depth sensor used in this study was the Microsoft Kinect. As of January 2018, Microsoft no longer manufactures the Kinect camera, but there are still many commercially available depth sensors that use similar technology. Such devices can also be used to measure VTC, but further research should establish

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Gustavo Ramos Dalla Bernardina, Tony Monnet, Heber Teixeira Pinto, Ricardo Machado Leite de Barros, Pietro Cerveri and Amanda Piaia Silvatti

measurement in the workplace . Appl Ergon . 2012 ; 43 ( 4 ): 645 – 649 . PubMed ID: 22018839 doi:10.1016/j.apergo.2011.09.011 22018839 10.1016/j.apergo.2011.09.011 10. Clark RA , Pua YH , Fortin K , et al . Validity of the Microsoft Kinect for assessment of postural control . Gait Posture

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Stephen M. Glass, Alessandro Napoli, Elizabeth D. Thompson, Iyad Obeid and Carole A. Tucker

/moving of the feet, and (6) remaining out of the testing position for more than 5 seconds. 5 Instrumentation All testing was conducted in view of a Microsoft Kinect 2.0™ (Microsoft Corp., Redmond, WA) gaming device secured to a tripod and placed 1.37 m above the ground and facing the participant at a

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Brad W. Willis, Katie Hocker, Swithin Razu, Aaron D. Gray, Marjorie Skubic, Seth L. Sherman, Samantha Kurkowski and Trent M. Guess

collapse. Notably, investigations using infrared depth cameras have shown potential of translating such 2-dimensional surrogates from 3-dimensional skeletal models, such as the KASR, into clinically useful data with more portable and efficient systems. 6 Particularly, the markerless Microsoft Kinect V2

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Kelsey Lucca, David Gire, Rachel Horton and Jessica A. Sommerville

-dimensional human motion has been acquired and analyzed for decades ( Aggarwal & Cai, 1999 ), recent developments in low-cost depth cameras, such as the Intel RealSense and the Microsoft Kinect, extend high-precision 3D motion capture beyond relatively complex and expensive multi-camera tracking systems to