Package for analyzing human motion data (e.g. PA, gait)
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Updated
Nov 18, 2018 - Python
Package for analyzing human motion data (e.g. PA, gait)
Python-based open source package for actigraphy data analysis
To solve the issues arising from modern-day lifestyle with remote working culture, mental wellness, and physical fitness.
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.
The code in this repository draws on results from the Global Healthy and Sustainable Cities Indicator Collaboration Study to generate policy 'scorecard' reports.
Virtual coach Jamie for setting physical activity plans with users that users are committed to.
A simple and light-weight feature extractor for wearable accelerometer data.
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.
Projet AP tracker d'activité
Chatbot for persuading smokers to use physical activity as an aid for quitting smoking.
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.
Frailty classification using machine learning on behavioural and physical health data
"UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions" @ IEEE HealthCom 2022
The physical activity analysis toolbox (PAAT) is a comprehensive toolbox to analyse raw acceleration data.
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.
The repository for the source code of the Motus system
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