All codes used in the drePAnon project, from data cleaning - processing to analysis
-
Updated
Jun 15, 2024 - Jupyter Notebook
All codes used in the drePAnon project, from data cleaning - processing to analysis
Personal website dealing with movement, wearables, and programming languages.
The thigh-worn accelerometer data processing tool to find physical and sedentary behaviour
Shiny app to facilitate the interpretation of cut-point-free accelerometer metrics (analysis of human movement) #interpretablePA #iPAforResearchers
Python-based open source package for actigraphy data analysis
analysis related to the FITNESS Study at OSU
Virtual coach Mel that proposes preparatory activities for quitting smoking and becoming more physically active as well as activities that are meant to persuade people of the usefulness of certain competencies for quitting smoking.
The physical activity analysis toolbox (PAAT) is a comprehensive toolbox to analyse raw acceleration data.
Code for BrainAGE computation from UKBiobank T1 MRI data and further preprocessing and analysis of accelerometer-measured and self-reported physical activity and fitness data in relationship with BrainAGE..
Chatbot for persuading smokers to use physical activity as an aid for quitting smoking.
Virtual coach Jamie for setting physical activity plans with users that users are committed to.
This github repository contains the code for the chatbot Steph that is created for the thesis project: Using Reinforcement Learning to Personalize Daily Step Goals for a Collaborative Dialogue with a Virtual Coach.
An end-user focused research tool with CAD-like interface for spatial graph design, analysis, and visualisation.
The code in this repository draws on results from the Global Healthy and Sustainable Cities Indicator Collaboration Study to generate policy 'scorecard' reports.
I am a health economist currently funded by the Wellcome Trust and the University of Sheffield.
Flexin is a web app that offers home-based workouts.
"UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions" @ IEEE HealthCom 2022
Projet AP tracker d'activité
Predicting self-reported health in seniors who participated in the Behavioral Risk Factor Surveillance System (CRFSS) 2015 Survey.
Add a description, image, and links to the physical-activity topic page so that developers can more easily learn about it.
To associate your repository with the physical-activity topic, visit your repo's landing page and select "manage topics."