How can I calculate kinematics of ankle joint after calculating local coordinates of the foot and shank from the 3D position of markers?
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Hi all,
I have a human 3D motion data (walking straight).
I want to calculate ankle joint kinematics.
I have calculated the local coordinates of the foot and shank segments using the XYZ coordinates (in meters) of 3 markers from each segment. Code for shank coordinate system ( as suggested by ChatGPT):
% The shank coordinate system axes (lateral malleoli, medial malleoli, head of fibula)
l_shank_x = (llmal - lmmal) / norm(llmal - lmmal);
l_shank_y = cross(l_shank_z, l_shank_x);
l_shank_z = cross(lfib - lmmal, llmal - lmmal) / norm(cross(lfib - lmmal, llmal - lmmal));
% Ensure axis vectors are normalized
l_shank_x2 = l_shank_x / norm(l_shank_x);
l_shank_y2 = l_shank_y / norm(l_shank_y);
l_shank_z2 = l_shank_z / norm(l_shank_z);
% Create the shank rotation matrix
lshank_rotation_matrix = [l_shank_x2', l_shank_y2', l_shank_z2'];
These coordinates are attached for both the foot and the shank (both 868x9 double).
I have also calcuted ankle joint center (attached):
l_ankle_cent = lcal + lmet5/2;
I wonder what is the general framework to follow to calculate ankle joint 3D kinematics (in degrees) from here?
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Suraj Kumar
2024 年 9 月 27 日
Hi Tomaszzz,
To compute the ankle joint angles, you can refer the following steps and the attached code snippets:
1. Compute the relative rotation matrix between the shank and the foot by multiplying the inverse of shank’s rotation matrix and foot rotation matrix.
for i = 1:num_frames
% Extract rotation matrices for the current frame
shank_rot = lshank_rotation_matrix(:, :, i);
foot_rot = lfoot_rotation_matrix(:, :, i);
% Calculate relative rotation matrix
relative_rotation_matrix = shank_rot' * foot_rot;
2. Then, you can extract the Euler angles using the ‘rotm2eul’ function and iterate over each frame, performing the above calculations for all frames in the dataset.
% Convert to Euler angles using ZYX sequence
euler_angles = rotm2eul(relative_rotation_matrix, 'ZYX');
3. Plot the calculated ankle joint angles over time to visualize the results.
figure;
subplot(3, 1, 1);
plot(ankle_angles_degrees(:, 1));
title('Ankle Joint Yaw Angle');
xlabel('Frame');
ylabel('Degrees');
subplot(3, 1, 2);
plot(ankle_angles_degrees(:, 2));
title('Ankle Joint Pitch Angle');
xlabel('Frame');
ylabel('Degrees');
subplot(3, 1, 3);
plot(ankle_angles_degrees(:, 3));
title('Ankle Joint Roll Angle');
xlabel('Frame');
ylabel('Degrees');
You may check the output below for a better understanding:
To know more about the ‘rotm2eul’ function in MATLAB, you can refer to the following documentation:
Happy Coding!
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