scikit-kinematics - Documentation¶
scikit-kinematics is a library for scientific data analysis, with a focus on 3d kinematics.
It is hosted under https://github.com/thomas-haslwanter/scikit-kinematics, and contains the following modules:
- imus Analysis routines for IMU-recordings
calculation of orientation from velocity, recorded with IMUs or space-fixed systems (four different algorithms are implemente here:
simple quaternion integration
a quaternion Kalman filter
Madgwick’s algorithm
Mahony’s algorithm
calculation of position and orientation from IMU-signals
The sub-directory sensors contains utility to import in data from xio, XSens, and yei system
- markers Analysis routines for 3D movements from marker-based video recordings
a function that takes recordings from video-systems (e.g. Optotrak) and calculates position and orientation
calculation of joint movements from marker recordings
- quat Functions for working with quaternions:
quaternion multiplication, inversion, conjugate
conversions to rotation matrices, axis angles, vectors
a Quaternion class, including operator overloading for multiplication and division
also work on data arrays
- rotmat Functions for working with rotation matrices
rotation matrices for rotations about the x-, y-, and z-axis
symbolic rotation matrices
conversions to Euler, Fick, Helmholtz angles
spatial transformation matrices
Denavit-Hartenberg transformations
- vector Functions for working with vectors
angle between vectors
Gram-Schmidt orthogonalization
projection
normalization
rotation
also work on data arrays
view Visualization of time-series data, and of 3D orientations
In addition, the packages includes the general module
misc Mainly GUI-functions for directory- and file selection etc.

Interactively analyze time-series data.¶

Visualize 3D orientations.¶
Installation¶
The simplest way to install skinematics is a two-step process
>>> pip install scikit-kinematics
However, you can also install from the source files. To do this, just go to the root directory of the package, and type
>>> python setup.py install
Note: After skinematics is installed, I typically import it in Python with:
>>> import skinematics as skin
Upgrading¶
For upgrading to the latest version, you have to type
>>> pip install --upgrade --no-deps scikit-kinematics
Warning: Do not use pip install scikit-kinematics -U, since that command also upgrades dependencies such as numpy. This can break e.g. WinPython, since the numpy-version including MKL may be replaced by one without MKL.
Dependencies¶
numpy, scipy, matplotlib, pandas, sympy
Testing¶
The easiest way to test the package is with unittest. Open a terminal, and type (on the command-line!):
>>> cd [_your_installation_dir_]\skinematics\tests
>>> python -m unittest
Indices and tables¶
Note