deletions | additions       diff --git a/Assessment_body_sway_is_useful__.tex b/Assessment_body_sway_is_useful__.tex  index 52d908e..a318040 100644  --- a/Assessment_body_sway_is_useful__.tex  +++ b/Assessment_body_sway_is_useful__.tex 
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Assessment In assessment  body sway is useful for rehabilitation as well as clinical research on balance control. It provides a clinical measurement for the qualification of posture, the evaluation of balance disorder, and the prediction of fall risk \citet{rubenstein2002epidemiology}. The researchers have shown that body sway can also be quantified by measuring motion of the total body centre of mass (TBCM) \citet{benda1994biomechanical}. This relevant for postural studies as a large sway in TBCM has been associated with increased fall risk \citet{horak2006postural}. Motion capture systems or force plates may be used to assess TBCM sway during upright stance. Motion capture systems record kinematic data of body segments and can determine TBCM using a segmental method. Conventional motion capture systems are marker-based. They often require precise, tedious and time-consuming marker preparation, which may not be suitable for assessing children, the elderly, or patients. AUTHOR’S study was evaluate Kinect as a clinical assessment tool of TBCM sway. Using TBCM measurement from a Vicon system as a reference, they compared the performance of Kinect and force plate in terms of reliability and accuracy. The force plate was included because it is currently the common posturography tool for body sway assessment. Specifically, the zero-point to-zero-point integration technique was implemented to estimate the gravity line projection (GLP) from force plate data, which was the vertical projection of the TBCM \citet{zatsiorsky1997algorithm}. The Kinect system was placed 3 m away from subjects. 30 Hz video data were acquired using the official Microsoft software development kit (SDK) Beta2 version (Microsoft, USA) and customized software (Microsoft Visual Studio 2010, Microsoft, USA). All major body segments were located, including head, shoulders, elbows, wrists, hands, hips, knees, ankles, and feet as shown in Fig. 18. Also an eight-camera motion capture system (MX F40, Vicon, Oxford Metrics, USA) was used for 3-D motion analysis. Reflective markers were placed on numerous anatomical landmarks of the subjects’ body (Fig. 18) \cite{yeung2014evaluation}.