Python package for Xsens (IMU based Motion Capture) data processing
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Updated
Feb 9, 2017
Python package for Xsens (IMU based Motion Capture) data processing
Example integration of xsens-mti library with STM32F4 discovery. Data visualisations with Electric UI.
ROS2 Hardware Abstraction Layer (HAL) for Xsens XBus Master (XM-B)
A driver for using the Xsens MTw Awinda system within ROS2 using the XDA 2022.
Go SDK for Xsens MTi Inertial Measurement Units (IMUs).
Sonic Move Biodata Sonata program code
PyJama is a 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.
This repository was written to help analyze the Virginia Tech Natural Motion Dataset. The dataset contains 40 hours of unscripted human motion collected in the open world using XSens MVN Link. The dataset, metadata and more information is available through the Virginia Tech University Libraries: https://data.lib.vt.edu/articles/dataset/Virginia_…
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