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.

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

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.

Process Accelerometer Data from NHANES 2003-2006

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.

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

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

International Physical Activity Questionnaire (IPAQ) variables

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

Frailty classification using machine learning on behavioural and physical health data

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

To solve the issues arising from modern-day lifestyle with remote working culture, mental wellness, and physical fitness.