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International Journal of Advance Engineering and Research
Development
Volume 6, Issue 12, December -2019
@IJAERD-2019, All rights Reserved 66
Scientific Journal of Impact Factor (SJIF): 5.71
e-ISSN (O): 2348-4470
p-ISSN (P): 2348-6406
IK analysis for the Hip simulator using the OpenSim simulator
R Murasu1
, D.George Oliver2
and R Amudhan3
1,2&3
Assistant Professor, Department of Mechanical Engineering, CK College of Engineering and Technology
Abstract —The model of the project to create a detailed assembly of muscles spotting the hip joint. Additional muscles
and combinations were added to the baseline lower extremity assemblies currently available in OpenSim. The geometry
of the muscles was adjusted to pair moment arms reported here. The slack moment and the isometric were added to the
arithmetic value of the tanquntial assembly of joints
Keywords- Inverse Kinematics; skeleton; OpenSim; Inverse Dynamics; Marker Error
I. INTRODUCTION
The system of the OpenSim solves the inverse kinematics problems through the output of the data analysis. The values
are shown here to the movement disorders and the study of the bio mechanics frequently for the support of the
computational tools. The OpenSim computes the common qualities for the computing.
OpenSim has tools for computing these quantities:
1. Inverse kinematics is used to analyse joint angles.
2. Inverse dynamics is used to analysis net joint reaction forces and joint moments.
Inverse kinematics computes the joint angles for a musculoskeletal model that best reproduce the motion of a
mechanics. Inverse dynamics then use joint angles, angular velocities, the angular acceleration of the materials were
proposed to the withheld of the mechanics to be hand over the regular dynamics analysis to the concern of the inverse to
be analysis to manipulated and analysis.
II. EXPERIMENTAL INVESTIGATION
2.1 Generic Musco Skeleton Models
In this work, using a generic musculoskeletal model with 23 degrees of freedom and actuated by 54 muscles entitled
3DGaitModel2354.
To load the generic musculoskeletal model into OpenSim:
 Click the File menu and select Open Model. Find the Gait2354_Simbody folder default OpenSim resources
directory— DocumentsOpenSimModels for PC and Mac.
 Note: First launch OpenSim, prompted to provide a path to install the resources folder, the default is in the systems
Documents folders.
 Open the Gait2354_Simbody folder, select the file gait2354_simbody.osim, and open
The subject analysis of the OpenSim to evaluate the analysis involves (i) the properties of the scaling depends upon
the load ,physical dimensions and the properties of the load factor , simulation factors were upload in the format
as values (ii) The registering the value of the approach has been incorporated to the scalling and the module of the
subject were know to the concepts were the feedback and the analysis data were given to the scope of the index for the
valu occupying to demonstration and the simulation generic gait2354 skeletal model to the dimensions of a subject has
experimental data.
2.2 Model Scaling
Mass and Inertia center of the simulation were identically specified for the scaling through
(1) Manual Scaling: The auto analysis if the scaling sometimes will incomplete the format to run the analysis so
deviation of the points were measured to develop a entry of the data for the muscular scale.
(2) Measurement-based Scaling: the specified points of the measure and were scaled through the performance based and
the scaling based the specify points of the physical phenomenon were properties were identified
2.3 Inverse Kinematics
The marking performance of the IK are identified and specified for the particular mass moment of the physical
dimensions and the moment factor were the position of the kinemtic vector and the kinamtics vector will have the scope
to determine the marker for the further more movement of the coordinated from which the motion is initialized. The
mtion then captured for thee total force of the vector analysis for the momentum and the axis to balance the body with
respect for the position and the direction mode. The work done and the energy depends upon the minQ and the
genelerized vision of the function qualities and the marker identified the joint angles and the inverse kinematic analysis
International Journal of Advance Engineering and Research Development (IJAERD)
Volume 6, Issue12, December-2019, e-ISSN: 2348 - 4470, print-ISSN: 2348-6406
@IJAERD-2019, All rights Reserved 67
Where q is the vector coordinates (e.g., joint angles), xi
exp
is the position of experimental marker i, xi(q) is the position of
the corresponding model marker i (which depends on q), and wi is the weight associated with marker i.
2.4 Inverse Kinematics Motion
.The force and the momentum of the body requires the mass and the acceleration of the body to be on the experimental
analysis on the residual motion. Due to errors in the experimental motion data and inaccuracies in the musculoskeletal
model, it turns out that Newton's second law is violated, or . One method to handle this inconsistency
is to compute and apply residual forces and moments to a particular body segment in the model, such that Newton's
second law becomes:
An analogous equation relates the ground reaction moment, to the residual moment, . In this
musculoskeletal model, the residuals are applied to the pelvis segment.
To see the residuals from the inverse dynamics solution, in a new plot window, Plot pelvis_tx_force, pelvis_ty_force,
and pelvis_tz_force versus time. While applying residual forces and moments makes the model's motion dynamically
consistent with the external forces , The strageties form the analysis of the square to the arithmetic
and logrethemic analysis to cooperating the vectors to lie on the same systems on the residual of the data on the
following additional information on the axis deformation and angulatior affirmation of the x,y,z -squares optimization
the Residual Elimination Algorithm (REA) and the Residual Reduction Algorithm (RRA). OpenSim implements a
Residual Reduction Algorithm as part of its workflow for generating muscle-actuated simulations. A detailed
explanation of the Residual Reduction Algorithm (RRA) can be found on the Residual Reduction Algorithm page of the
documentation. For additional information on these strategies, The figure shows a data accrued between the tangential
force of the x,y,z where the load acting is lenient and propagate through the angle of the prospects to the body to balance
the weight while the body is in motion and shows to constraints points activated to balance the dynamic properties to
with the balance.
Figure 1. Kinematic Tools
International Journal of Advance Engineering and Research Development (IJAERD)
Volume 6, Issue12, December-2019, e-ISSN: 2348 - 4470, print-ISSN: 2348-6406
@IJAERD-2019, All rights Reserved 68
2.5 Motion analysis
Figure 2. Dynamatic Tools
Structural balance is some important on analysis the data on the point of the gesture of the physical experiments and the
value analysis for the function of the kinematics and the reverse kinematics to maintain the balance in the axis the
physical momentum to balance the entire structure on the axis of the load and the moments applied
III. ACKNOWLEDGMENTS
Fig. 3 shows the experimental gait data were collected on OPenSim. The data include marker trajectories and ground
reaction forces for an adult male walking at a self-selected speed on an instrumented split-belt treadmill.
Figure 3. Kinematics plotting Figure 4. Pelvis inverse kinematic simulation
Fig.4 pelvis simulators shows a absolute and relevant data plotting in the point where the loads vary with the point
constraints the pink and the blue colour conserves the preservatives of the modified and the colour red forms the
difference of the load factor
IV. CONCLUSION
The curvature of the path determines the appends of the pelvic and the curve (i.e., left leg and right leg). The toe-off
coordinated slide over the axis to make the structure stable It may be useful to use the Coordinate sliders to understand
the angle convention for the ankle. The maximum magnitudes of the residual forces using the mass of the subject from
fraction of body weight are the maximum residual moments acting on the entire force acting on the structure to balance
the body mechanics.
International Journal of Advance Engineering and Research Development (IJAERD)
Volume 6, Issue12, December-2019, e-ISSN: 2348 - 4470, print-ISSN: 2348-6406
@IJAERD-2019, All rights Reserved 69
REFERENCES
1. Delp, S.L., Loan, J.P., Hoy, M.G., Zajac, F.E., Topp E.L., Rosen, J.M. An interactive graphics-based model of the
lower extremity to study orthopaedic surgical procedures. IEEE Transactions on Biomedical Engineering, vol. 37, pp.
757-767, 1990.
2. Anderson, F.C., Pandy, M.G. A dynamic optimization solution for vertical jumping in three dimensions. Computer
Methods in Biomechanical and Biomedical Engineering, vol. 2, pp. 201-231, 1999.
3. Kuo, A.D. A least squares estimation approach to improving the precision of inverse dynamics computations, Journal
of Biomechanical Engineering, vol. 120, pp. 148-159, 1998.
4. Winter, D.A. Biomechanics and Motor Control of Human Movement, Wiley and Sons, pp. 77-79, 1990.
5. Thelen, D.G., Anderson, F.C. Using computed muscle control to generate forward dynamic simulations of human
walking from experimental data, Journal of Biomechanics, vol. 39, pp. 1107-1115, 2006.
6. John, C.T., Anderson, F.C., Guendelman, E., Arnold, A.S., Delp, S.L. An algorithm for generating muscle-actuated
simulations of long-duration movements, Biomedical Computation at Stanford (BCATS) Symposium, Stanford
University, 21 October 2006.
7. Delp, S.L., Anderson, F.C., Arnold, A.S., Loan, P., Habib, A., John, C.T., Guendelman, E., Thelen, D.G. OpenSim:
Open-source software to create and analyze dynamic simulations of movement. IEEE Transactions on Biomedical
Engineering, vol. 55, pp. 1940-1950, 2007.
8. Chand T. John, Frank C. Anderson, Jill S. Higginson & Scott L. Delp ., Stabilisation of walking by intrinsic muscle
properties revealed in a three-dimensional muscle-driven simulation, Computer Methods in Biomechanics
and Biomedical Engineering, 2012.

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Ik analysis for the hip simulator using the open sim simulator

  • 1. International Journal of Advance Engineering and Research Development Volume 6, Issue 12, December -2019 @IJAERD-2019, All rights Reserved 66 Scientific Journal of Impact Factor (SJIF): 5.71 e-ISSN (O): 2348-4470 p-ISSN (P): 2348-6406 IK analysis for the Hip simulator using the OpenSim simulator R Murasu1 , D.George Oliver2 and R Amudhan3 1,2&3 Assistant Professor, Department of Mechanical Engineering, CK College of Engineering and Technology Abstract —The model of the project to create a detailed assembly of muscles spotting the hip joint. Additional muscles and combinations were added to the baseline lower extremity assemblies currently available in OpenSim. The geometry of the muscles was adjusted to pair moment arms reported here. The slack moment and the isometric were added to the arithmetic value of the tanquntial assembly of joints Keywords- Inverse Kinematics; skeleton; OpenSim; Inverse Dynamics; Marker Error I. INTRODUCTION The system of the OpenSim solves the inverse kinematics problems through the output of the data analysis. The values are shown here to the movement disorders and the study of the bio mechanics frequently for the support of the computational tools. The OpenSim computes the common qualities for the computing. OpenSim has tools for computing these quantities: 1. Inverse kinematics is used to analyse joint angles. 2. Inverse dynamics is used to analysis net joint reaction forces and joint moments. Inverse kinematics computes the joint angles for a musculoskeletal model that best reproduce the motion of a mechanics. Inverse dynamics then use joint angles, angular velocities, the angular acceleration of the materials were proposed to the withheld of the mechanics to be hand over the regular dynamics analysis to the concern of the inverse to be analysis to manipulated and analysis. II. EXPERIMENTAL INVESTIGATION 2.1 Generic Musco Skeleton Models In this work, using a generic musculoskeletal model with 23 degrees of freedom and actuated by 54 muscles entitled 3DGaitModel2354. To load the generic musculoskeletal model into OpenSim:  Click the File menu and select Open Model. Find the Gait2354_Simbody folder default OpenSim resources directory— DocumentsOpenSimModels for PC and Mac.  Note: First launch OpenSim, prompted to provide a path to install the resources folder, the default is in the systems Documents folders.  Open the Gait2354_Simbody folder, select the file gait2354_simbody.osim, and open The subject analysis of the OpenSim to evaluate the analysis involves (i) the properties of the scaling depends upon the load ,physical dimensions and the properties of the load factor , simulation factors were upload in the format as values (ii) The registering the value of the approach has been incorporated to the scalling and the module of the subject were know to the concepts were the feedback and the analysis data were given to the scope of the index for the valu occupying to demonstration and the simulation generic gait2354 skeletal model to the dimensions of a subject has experimental data. 2.2 Model Scaling Mass and Inertia center of the simulation were identically specified for the scaling through (1) Manual Scaling: The auto analysis if the scaling sometimes will incomplete the format to run the analysis so deviation of the points were measured to develop a entry of the data for the muscular scale. (2) Measurement-based Scaling: the specified points of the measure and were scaled through the performance based and the scaling based the specify points of the physical phenomenon were properties were identified 2.3 Inverse Kinematics The marking performance of the IK are identified and specified for the particular mass moment of the physical dimensions and the moment factor were the position of the kinemtic vector and the kinamtics vector will have the scope to determine the marker for the further more movement of the coordinated from which the motion is initialized. The mtion then captured for thee total force of the vector analysis for the momentum and the axis to balance the body with respect for the position and the direction mode. The work done and the energy depends upon the minQ and the genelerized vision of the function qualities and the marker identified the joint angles and the inverse kinematic analysis
  • 2. International Journal of Advance Engineering and Research Development (IJAERD) Volume 6, Issue12, December-2019, e-ISSN: 2348 - 4470, print-ISSN: 2348-6406 @IJAERD-2019, All rights Reserved 67 Where q is the vector coordinates (e.g., joint angles), xi exp is the position of experimental marker i, xi(q) is the position of the corresponding model marker i (which depends on q), and wi is the weight associated with marker i. 2.4 Inverse Kinematics Motion .The force and the momentum of the body requires the mass and the acceleration of the body to be on the experimental analysis on the residual motion. Due to errors in the experimental motion data and inaccuracies in the musculoskeletal model, it turns out that Newton's second law is violated, or . One method to handle this inconsistency is to compute and apply residual forces and moments to a particular body segment in the model, such that Newton's second law becomes: An analogous equation relates the ground reaction moment, to the residual moment, . In this musculoskeletal model, the residuals are applied to the pelvis segment. To see the residuals from the inverse dynamics solution, in a new plot window, Plot pelvis_tx_force, pelvis_ty_force, and pelvis_tz_force versus time. While applying residual forces and moments makes the model's motion dynamically consistent with the external forces , The strageties form the analysis of the square to the arithmetic and logrethemic analysis to cooperating the vectors to lie on the same systems on the residual of the data on the following additional information on the axis deformation and angulatior affirmation of the x,y,z -squares optimization the Residual Elimination Algorithm (REA) and the Residual Reduction Algorithm (RRA). OpenSim implements a Residual Reduction Algorithm as part of its workflow for generating muscle-actuated simulations. A detailed explanation of the Residual Reduction Algorithm (RRA) can be found on the Residual Reduction Algorithm page of the documentation. For additional information on these strategies, The figure shows a data accrued between the tangential force of the x,y,z where the load acting is lenient and propagate through the angle of the prospects to the body to balance the weight while the body is in motion and shows to constraints points activated to balance the dynamic properties to with the balance. Figure 1. Kinematic Tools
  • 3. International Journal of Advance Engineering and Research Development (IJAERD) Volume 6, Issue12, December-2019, e-ISSN: 2348 - 4470, print-ISSN: 2348-6406 @IJAERD-2019, All rights Reserved 68 2.5 Motion analysis Figure 2. Dynamatic Tools Structural balance is some important on analysis the data on the point of the gesture of the physical experiments and the value analysis for the function of the kinematics and the reverse kinematics to maintain the balance in the axis the physical momentum to balance the entire structure on the axis of the load and the moments applied III. ACKNOWLEDGMENTS Fig. 3 shows the experimental gait data were collected on OPenSim. The data include marker trajectories and ground reaction forces for an adult male walking at a self-selected speed on an instrumented split-belt treadmill. Figure 3. Kinematics plotting Figure 4. Pelvis inverse kinematic simulation Fig.4 pelvis simulators shows a absolute and relevant data plotting in the point where the loads vary with the point constraints the pink and the blue colour conserves the preservatives of the modified and the colour red forms the difference of the load factor IV. CONCLUSION The curvature of the path determines the appends of the pelvic and the curve (i.e., left leg and right leg). The toe-off coordinated slide over the axis to make the structure stable It may be useful to use the Coordinate sliders to understand the angle convention for the ankle. The maximum magnitudes of the residual forces using the mass of the subject from fraction of body weight are the maximum residual moments acting on the entire force acting on the structure to balance the body mechanics.
  • 4. International Journal of Advance Engineering and Research Development (IJAERD) Volume 6, Issue12, December-2019, e-ISSN: 2348 - 4470, print-ISSN: 2348-6406 @IJAERD-2019, All rights Reserved 69 REFERENCES 1. Delp, S.L., Loan, J.P., Hoy, M.G., Zajac, F.E., Topp E.L., Rosen, J.M. An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Transactions on Biomedical Engineering, vol. 37, pp. 757-767, 1990. 2. Anderson, F.C., Pandy, M.G. A dynamic optimization solution for vertical jumping in three dimensions. Computer Methods in Biomechanical and Biomedical Engineering, vol. 2, pp. 201-231, 1999. 3. Kuo, A.D. A least squares estimation approach to improving the precision of inverse dynamics computations, Journal of Biomechanical Engineering, vol. 120, pp. 148-159, 1998. 4. Winter, D.A. Biomechanics and Motor Control of Human Movement, Wiley and Sons, pp. 77-79, 1990. 5. Thelen, D.G., Anderson, F.C. Using computed muscle control to generate forward dynamic simulations of human walking from experimental data, Journal of Biomechanics, vol. 39, pp. 1107-1115, 2006. 6. John, C.T., Anderson, F.C., Guendelman, E., Arnold, A.S., Delp, S.L. An algorithm for generating muscle-actuated simulations of long-duration movements, Biomedical Computation at Stanford (BCATS) Symposium, Stanford University, 21 October 2006. 7. Delp, S.L., Anderson, F.C., Arnold, A.S., Loan, P., Habib, A., John, C.T., Guendelman, E., Thelen, D.G. OpenSim: Open-source software to create and analyze dynamic simulations of movement. IEEE Transactions on Biomedical Engineering, vol. 55, pp. 1940-1950, 2007. 8. Chand T. John, Frank C. Anderson, Jill S. Higginson & Scott L. Delp ., Stabilisation of walking by intrinsic muscle properties revealed in a three-dimensional muscle-driven simulation, Computer Methods in Biomechanics and Biomedical Engineering, 2012.