Journal of Applied Biomechanics · 2014 · 14 citations · 23 references
EducationKinesiologyRehabilitation MedicineFalls PreventionFunctional Movement AssessmentMovement AnalysisBalance AssessmentKinematic AnalysisKinematicsMotion CaptureMovement KinematicsPostural AssessmentExercisingHip KinematicsJoint Angle AnalysisJoint KinematicsKinematic MeasurementLower Extremity KinematicsMotion Capture AnalysisParticle Filters
The new generation of videogame interfaces such as Microsoft's Kinect opens the possibility of implementing exercise programs for physical training, and of evaluating and reducing the risks of elderly people falling. However, applications such as these might require measurements of joint kinematics that are more robust and accurate than the standard output given by the available middleware. This article presents a method based on particle filters for calculating joint angles from the positions of the anatomical points detected by PrimeSense's NITE software. The application of this method to the measurement of lower limb kinematics reduced the error by one order of magnitude, to less than 10°, except for hip axial rotation, and it was advantageous over inverse kinematic analysis, in ensuring a robust and smooth solution without singularities, when the limbs are out-stretched and anatomical landmarks are aligned.
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Real-time human pose recognition in parts from single depth images
Jamie Shotton, Andrew Fitzgibbon, Mat Cook et al. · 2011 · 3.5K citations
Real-time human pose recognition in parts from single depth images
Jamie Shotton, Toby Sharp, Alex Kipman et al. · Communications of the ACM · 2013 · 2.1K citations
Validity of the Microsoft Kinect for assessment of postural control
Ross A. Clark, Yong‐Hao Pua, Karine Fortin et al. · Gait & Posture · 2012 · 687 citations