Introduction to You: Quantified
What is the quantified self and what can you do with this app?
Last updated
What is the quantified self and what can you do with this app?
Last updated
You: Quantified gives middle and high school students the opportunity to explore data generated by their own brains, bodies, and behavior. With the support of hands-on lessons that introduce them to basic principles of data, creative data visualization, and data ethics, learners will work with biosensing devices and web-based creative coding tools to develop their own representations of their brainwaves, heart rate, voice, etc. They pursue their own research questions and curiosity about the data they generate, contextualize their observations within population-wide patterns, and discover ways in which data plays a role across a range of STEM/STEAM careers by connecting with professionals who work with human data.
Alongside the platform, we are developing an educational curriculum that uses this application as a learning tool and covers topics such as data, bio-sensing, social synchrony, and artificial intelligence.
You can find more information in the section of this guide.
If this is your first time visiting the platform, please check out our .
Below, we provide a summary of the devices that may be used with the web application. Some of them may require the purchase of separate hardware while others may be used with your computer's webcam or microphone. You can find more information under the tab.
This app was built as an open-source platform. For project maintenance and documentation, you may find some information in the developer's section of this guide and check out the full code powering the web application at the following GitHub.
This app was developed at NYU through a collaboration of multiple research laboratories as a project aimed at promoting students’ data literacy through their creative representation of the Quantified Self.
As an open-source platform, this app leverages other technologies, such as . You may find more information as you dive into this documentation.
Our team is also responsible for the development, maintenance, and implementation of the .
Some of the lead researchers include Dr , Dr , and Dr .
Audio Volume
Ambient noise levels
Microphone
LSL
Multiple types of streams
LSL-Compatible Scientific Equipment
File upload
Pre-recorded data
A previous recording with the app.
Face Landmarks
Facial expression metrics
Camera
Video Heart Rate
Heart rate
Camera
Muse
EEG & bandpower
PPG & heart rate
Muse 2 hardware
EMOTIV
EEG & band power
EMOTIV-hardware
