Movement trajectory classes and functions built on top of GeoPandas

SportVU movement tracking data.

MoveTK is a library for computational movement analysis written in C++.

Flowmap.blue widget for R

Trajectools - trajectory data analysis tools for the QGIS Processing toolbox

Simple and effective tools for the analysis of movement data

Step-by-step exploratory movement data analysis protocol in a Jupyter notebook

A curated list of datasets with trajectories of different kinds

Spatio-temporal trajectory functions beyond the built-in PostGIS temporal support (https://postgis.net/docs/reference.html#Temporal)

🐦 Tools to import, clean, and visualize animal movement data in R

trackio - A Python approach to working with spatiotemporal mass movement data.

Interactive map animation with regular movements of individuals in Tartu County. The movements show the Home-Work daily commuting of people

UrbanFACET: Visually Profiling Cities from Mobile Device Recorded Movement Data of Millions of City Residents

Showing an NBA Dataset through interactive visualizations.

Filtrare si prelucrare date localizare ARGOS Doppler

A tool for estimating physical activity levels using accelerometric data and scientifically validated indices.

Movement feedback system that can provide real-time evaluative, corrective, and directive information about a movement performed by the user.

Visualize coupled categorical and continuous variables in a single plot (e.g., movement and speech state)

HFlow is a platform for I/O forwarding managed elastically, dynamically, and actively

Real-time movement-based music player using phone accelerometric and gyroscopic data. The core of the project is a Max/MSP file that is linked to python files using a trained deep learning model to add special movements possibilities to the pipeline.

Transdisciplinary exploration of privacy-aware movement data for sustainable urban mobility.

The movement data of an VR game for elederly people will be analyzed. This is an EDA on the movement data (cartesian coordinates). The goal is to find relevant movement events, that classify the game as meaningful for supporting flexibility training.

from raw GPS location timeseries data, preprocessing, enhancing, segmenting & reconstructing plausible patterns of like or driver-type behaviors

No description provided.

Available movement-related datasets.

Machine Learning & Neural Networks

Writing on-air with a smartwatch and writing on-paper with a tablet. Data used for evaluating the performance of a online writer verification system

Visual Analytics of Delays and Interaction for Movement Data