Python-based open source package for actigraphy data analysis

Package for analyzing human motion data (e.g. PA, gait)

The thigh-worn accelerometer data processing tool to find physical and sedentary behaviour

LPHEADA is a multicountry and fully Labelled digital Public HEAlth DAtaset of tweets originated in Australia, Canada, UK, or US between November 28th, 2018 to June 19th, 2020. This dataset contains 366,405 crowd-generated labels (three labels per tweet) for 122,135 PASS-related tweets, labelled by 708 unique annotators on Amazon Mechanical Turk.

Process Accelerometer Data from NHANES 2003-2006

Functions for Processing Accelerometer Data

"UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions" @ IEEE HealthCom 2022

R Package for Rest Activity Rhythm analysis

This github repository contains the code for the chatbot Jody that is created for the thesis project: Goal setting dialogue for physical activity with a virtual coach.

Shiny app to facilitate the interpretation of cut-point-free accelerometer metrics (analysis of human movement) #interpretablePA #iPAforResearchers

Rasa chatbot to gather data for and test a personalized reinforcement learning algorithm to persuade people to do preparatory activities for smoking cessation and increasing physical activity.

Measure the Motion of Groups from Video. Computer Assisted Video Assessment of Physical Activity. A Windows C# Application that uses OpenCV and FFMpeg to estimate the amount of movement in a video

BMClab's research on Covid-19

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

The repository for the source code of the Motus system

International Physical Activity Questionnaire (IPAQ) variables

A simple and light-weight feature extractor for wearable accelerometer data.

Frailty classification using machine learning on behavioural and physical health data