The Mobilise-D algorithm toolbox - Implemented in Python
- Updated
Aug 31, 2025 - Python
The Mobilise-D algorithm toolbox - Implemented in Python
Movement Observation and Tracking using IMU On-Hand Navigation
A research toolkit for extracting quantitative features from human movement data, offering computational methods to analyze movement qualities like smoothness, bilateral symmetry, contraction/expansion patterns, and synchronization. Built for researchers in motor control, biomechanics, and movement disorders.
Movement feedback system that can provide real-time evaluative, corrective, and directive information about a movement performed by the user.
TouchDesigner integration of PyEyesWeb for real-time expressive movement analysis with a set of .tox components.
A tool for estimating physical activity levels using accelerometric data and scientifically validated indices.
Tools to analyze the movement patterns of grey wolves in the Alberta region of Canada using ADT Graphs
This repo is focused on movement analysis workshops, mainly using computational vision and AI, repo is still a work in progress.
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