Python for Joint Angle Measurement and Acquisition (PyJAMA) open access project that was developed during my master’s work at Edmond and Lily Safra International Institute of Neuroscience of Santos Dumont Insitute. PyJama is a user friendly python library for analyzing human kinematics data. Aimed at analyzing data from IMU’s, MIMU’s, data from optical devices and in the future tracking data from deeplearning models. The PyJama library was designed based on the JAMA device.

Examples of usage

  • Example of using the library associeted with JAMA. Open In Colab
  • Example of using JAMA in a real situation. Open In Colab
  • Example of using the library using data extracted using Vicon and Xsens. Open In Colab