Description:
This project is a smartphone sensor data analytics project that deals with a full set of heterogeneous datasets to be correlated with mood analysis and mental health. The acquired data includes periodically-prompted user survey entries, light sensor output, Bluetooth and WiFi status, GPS data, and multivariate IMU time series e.g. 3-axis accelerometer and 3-axis gyroscope output at simple and complex activity contexts.
Background/History
A large number of subjects have signed up for this study to download and run a smartphone app (Android and iOS) on their personal devices and allow specific and partially-prompted data acquisition that ranges from their answers to survey question to sensor data recording at various activity contexts.
The effect of mood and mental on human activity, whether it is smartphone use activity or actual physical activity, has been an active research track for decades. Human activity modeling and recognition may be performed using wearable sensors and/or smartphone sensors, and our study deals with the latter.
This research was inspired by the fact that almost everyone nowadays has a smartphone that they are constantly using, which makes our access to valuable data to assess and improve people's health an easy-to-achieve task using state-of-the-art data analytics and machine learning.
Any additional information that can help show progress or movement
Purpose
Why are you doing the project? What do you aim to accomplish?
Benefits
How will the project be beneficial and to whom?
The possible applications of the outcome of your project
How
How is the project being carried out? What methods are you using?
Further reading
Any papers or article that I can use to understand better
Additional information
Anything that you think is relevant that doesn’t fit under any of the sections above.
https://healthstudy.tozny.com/help
| Resource | Location |
|---|---|
| Point of Contact | Unknown User (abhishek_pratap) Ramzi HalabiUnknown User (calvin_herd) (sensor data) Unknown User (sophia_li)(survey data) |
| Admin | |
| Contractor | |
| Tech JIRA Project | |
| Code Repo | https://github.com/aid4mh/washdata_analysis (data analysis related) https://github.com/aid4mh/washstudy_ops (operational related) |
| Timeline | https://docs.google.com/spreadsheets/d/1-6ShkuSEzzxG1QlJQ7nX-KytWkFWNzGvuKQdymgqLkA/edit?usp=sharing (WASH Compliance Study 2022Q1 Timeline) |
| Other Public Websites | https://psychiatry.uw.edu/project/hippocratic-app-study/ |
| Enrollment Website | https://healthstudy.tozny.com/help |