International Physical Activity Questionnaire (IPAQ) variables
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Updated
Aug 10, 2017 - R
International Physical Activity Questionnaire (IPAQ) variables
Package for analyzing human motion data (e.g. PA, gait)
Functions for Processing Accelerometer Data
Process Accelerometer Data from NHANES 2003-2006
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
R Package for Rest Activity Rhythm analysis
A simple and light-weight feature extractor for wearable accelerometer data.
Frailty classification using machine learning on behavioural and physical health data
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.
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.
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.
android app with walking challenges and heart rate measurement
BMClab's research on Covid-19
Predicting self-reported health in seniors who participated in the Behavioral Risk Factor Surveillance System (CRFSS) 2015 Survey.
Projet AP tracker d'activité
"UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions" @ IEEE HealthCom 2022
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