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

Process Accelerometer Data from NHANES 2003-2006

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.

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.

"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

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

Functions for Processing Accelerometer Data

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

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.

The repository for the source code of the Motus system

BMClab's research on Covid-19

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

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

a software evaluating days with valid wear for commercial activity trackers (ex: Fitbit devices) using minute data.

International Physical Activity Questionnaire (IPAQ) variables