self-developed code matlab r2017b Search Results


matlab scripts r2017a  (MathWorks Inc)
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matlab r2017b  (MathWorks Inc)
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Matlab R2017b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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software application matlab r2018b  (MathWorks Inc)
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self-developed software  (MathWorks Inc)
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self-developed application implemented in matlab r2017b  (MathWorks Inc)
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Procedure of the <t>multibody</t> kinematics model fitted to the skin markers. The multibody model is composed of pelvic, thigh and crus segments with hip and stifle joint centres connecting the adjacent segments (left). The multibody kinematics optimization was carried out to best fit the local markers on the model construct to the measured skin markers (middle and right) by finding the optimal set of model pose parameters
Self Developed Application Implemented In Matlab R2017b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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programming environment r2013b  (MathWorks Inc)
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Procedure of the <t>multibody</t> kinematics model fitted to the skin markers. The multibody model is composed of pelvic, thigh and crus segments with hip and stifle joint centres connecting the adjacent segments (left). The multibody kinematics optimization was carried out to best fit the local markers on the model construct to the measured skin markers (middle and right) by finding the optimal set of model pose parameters
Programming Environment R2013b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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self written matlab r2017b  (MathWorks Inc)
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Procedure of the <t>multibody</t> kinematics model fitted to the skin markers. The multibody model is composed of pelvic, thigh and crus segments with hip and stifle joint centres connecting the adjacent segments (left). The multibody kinematics optimization was carried out to best fit the local markers on the model construct to the measured skin markers (middle and right) by finding the optimal set of model pose parameters
Self Written Matlab R2017b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab 8.6 r2015b  (MathWorks Inc)
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MathWorks Inc matlab 8.6 r2015b
Procedure of the <t>multibody</t> kinematics model fitted to the skin markers. The multibody model is composed of pelvic, thigh and crus segments with hip and stifle joint centres connecting the adjacent segments (left). The multibody kinematics optimization was carried out to best fit the local markers on the model construct to the measured skin markers (middle and right) by finding the optimal set of model pose parameters
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Procedure of the multibody kinematics model fitted to the skin markers. The multibody model is composed of pelvic, thigh and crus segments with hip and stifle joint centres connecting the adjacent segments (left). The multibody kinematics optimization was carried out to best fit the local markers on the model construct to the measured skin markers (middle and right) by finding the optimal set of model pose parameters

Journal: BMC Veterinary Research

Article Title: Evaluation of a multibody kinematics optimization method for three-dimensional canine pelvic limb gait analysis

doi: 10.1186/s12917-020-02323-5

Figure Lengend Snippet: Procedure of the multibody kinematics model fitted to the skin markers. The multibody model is composed of pelvic, thigh and crus segments with hip and stifle joint centres connecting the adjacent segments (left). The multibody kinematics optimization was carried out to best fit the local markers on the model construct to the measured skin markers (middle and right) by finding the optimal set of model pose parameters

Article Snippet: The setup and customization of the multibody model, the prediction of joint centres and the kinematics estimation via the MKO were carried out using a self-developed application implemented in MATLAB (MATLAB R2017b, The Mathworks Inc., Natick, Massachusetts, USA).

Techniques: Construct