Trajectools - trajectory data analysis tools for the QGIS Processing toolbox
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Updated
Jan 22, 2026 - QML
Trajectools - trajectory data analysis tools for the QGIS Processing toolbox
A small deep-learning library to distinguish human and bot from their mouse movements.
The Mobilise-D algorithm toolbox - Implemented in Python
Deterministic AI simulation and diagnostics lab for Project Nova / HASHKRIEG — branch-independent matches, replays, metrics, movement tests, combat analysis and comparisons.
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.
A platform for analyzing and tracking human movement using AI and motion-tracking technologies, with support for data visualization and sensor integration.
Movement Observation and Tracking using IMU On-Hand Navigation
迳口村麒麟舞的动作识别和评分系统
TouchDesigner integration of PyEyesWeb for real-time expressive movement analysis with a set of .tox components.
Nous Technology Limited builds SpatialForm, a Personal Athletic Intelligence product that turns Phone Sports Video into Performance Form for tennis movement analysis.
Local-first Codex skill for coach-grade sports technique analysis from iPhone training videos using MediaPipe.
Scalable, privacy-aware crowd flow monitoring
Adaptive movement rehabilitation with confidence calibration — novel Movement Calibration Gap metric combining real-time pose estimation with metacognitive self-assessment
A tool for estimating physical activity levels using accelerometric data and scientifically validated indices.
[IEEE JBHI 2026] Official implementation of "Movement Anywhere: An Open-Source Distributed 2D Video-Based Movement Analysis Platform Empowered by Active Learning"
Movement feedback system that can provide real-time evaluative, corrective, and directive information about a movement performed by the user.
Hack the Hill III | Mixed reality movement review for Meta Quest 3 that records a movement, fits a 3D body and skeleton, and replays it in the room to pause and walk around.
Flutter sports rehabilitation app with on-device pose analysis, movement feedback, exercise tracking, and recovery planning.
Python-based toolbox for processing physiological signals, developed to analyze EEG data and study functional brain plasticity for motor rehabilitation.
Macrophages tracking using phagosight.
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