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The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications.
Mündermann L, Corazza S, Andriacchi TP.
J Neuroeng Rehabil. 2006 Mar 15;3:6.PMID: 16539701 [PubMed]Related articlesFree article
A framework for the functional identification of joint centers using markerless motion capture, validation for the hip joint.
Corazza S, Mündermann L, Andriacchi T.
J Biomech. 2007;40(15):3510-5. Epub 2007 Aug 13.PMID: 17697684 [PubMed - indexed for MEDLINE]Related articles
Automatic Generation of a Subject Specific Model for Accurate Markerless Motion Capture and Biomechanical Applications.
Corazza S, Gambaretto E, Mundermann L, Andriacchi T.
IEEE Trans Biomed Eng. 2008 Nov 18. [Epub ahead of print]PMID: 19272951 [PubMed - as supplied by publisher]Related articles
A markerless motion capture system to study musculoskeletal biomechanics: visual hull and simulated annealing approach.
Corazza S, Mündermann L, Chaudhari AM, Demattio T, Cobelli C, Andriacchi TP.
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A neural tracking and motor control approach to improve rehabilitation of upper limb movements.
Goffredo M, Bernabucci I, Schmid M, Conforto S.
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Nearly automatic motion capture system for tracking octopus arm movements in 3D space.
Zelman I, Galun M, Akselrod-Ballin A, Yekutieli Y, Hochner B, Flash T.
J Neurosci Methods. 2009 Aug 30;182(1):97-109. Epub 2009 Jun 6.PMID: 19505502 [PubMed - indexed for MEDLINE]Related articles
Tracking the motion of hidden segments using kinematic constraints and Kalman filtering.
Halvorsen K, Johnston C, Back W, Stokes V, Lanshammar H.
J Biomech Eng. 2008 Feb;130(1):011012.PMID: 18298188 [PubMed - indexed for MEDLINE]Related articles
Posturographic analysis through markerless motion capture without ground reaction forces measurement.
Corazza S, Andriacchi TP.
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A neural network approach to markerless measurement of human motion.
Taha Z, Brown R, Wright D.
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Validation of a single camera three-dimensional motion tracking system.
Weinhandl JT, Armstrong BS, Kusik TP, Barrows RT, O'Connor KM.
J Biomech. 2010 Mar 5. [Epub ahead of print]PMID: 20207358 [PubMed - as supplied by publisher]Related articles
A 3-D marker-free system for the analysis of movement disabilities--an application to the legs.
Marzani F, Calais E, Legrand L.
IEEE Trans Inf Technol Biomed. 2001 Mar;5(1):18-26.PMID: 11300212 [PubMed - indexed for MEDLINE]Related articles
Integrating modelling, motion capture and x-ray fluoroscopy to investigate patellofemoral function during dynamic activity.
Fernandez JW, Akbarshahi M, Kim HJ, Pandy MG.
Comput Methods Biomech Biomed Engin. 2008 Feb;11(1):41-53. Epub 2007 Oct 15.PMID: 17943487 [PubMed - indexed for MEDLINE]Related articles
Motion capture based identification of the human body inertial parameters.
Venture G, Ayusawa K, Nakamura Y.
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The biomechanics of upper extremity kinematic and kinetic modeling: applications to rehabilitation engineering.
Slavens BA, Harris GF.
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Effects of camera switching on fine accuracy in a motion capture system.
Kuxhaus L, Schimoler PJ, Vipperman JS, Miller MC.
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A review of vision-based motion analysis in sport.
Barris S, Button C.
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Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation.
Leardini A, Chiari L, Della Croce U, Cappozzo A.
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Arthrodial joint markerless cross-parameterization and biomechanical visualization.
Marai GE, Grimm CM, Laidlaw DH.
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Novel lung IMRT planning algorithms with nonuniform dose delivery strategy to account for respiratory motion.
Li X, Zhang P, Mah D, Gewanter R, Kutcher G.
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Representing and identifying alternative movement techniques for goal-directed manual tasks.
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