accelerometry

🏃‍♀️ Process, Visualize, and Analyze Actigraphy Data

The repository for the source code of the Motus system

The physical activity analysis toolbox (PAAT) is a comprehensive toolbox to analyse raw acceleration data from the hip.

Supporting material for the paper ''Discrimination of sleep and wake periods from a hip-worn raw acceleration sensor using recurrent neural networks''

Web-based tool for visualizing and annotating accelerometry data. Supports collaborative labeling of activity segments in large time-series recordings. Built with Panel and Bokeh. Docs: https://tavoloperuno.github.io/py_visualize_accelerometry/ | Demo: https://tavoloperuno-accelerometry-viewer-demo.hf.space/

Research notebooks for estimating gait loading rate from wearable accelerometry in the frequency domain and comparing it with force-plate measurements.

Reconstructs the Parkinson's motor diary from wrist accelerometry, shows how certain it is, and abstains when the evidence is too weak.

Research notebooks for analysing wearable accelerometer-derived bone loading during exercise on Earth and in microgravity from ESA’s 85th Parabolic Flight Campaign.

R code that generates multiple individual reports based on activPAL data.