tirri

A therapy app that interfaces with the Muse Headband to aid physicians in treating mental health concerns.

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your personal therapist, in under 2 minutes

creating a customizable, comforting community ❤️

Inspiration

Many doctors are unsure of how to treat mental health conditions and typically resort to prescribed drugs, which might not be the best solution (source: Globe and Mail). Many people are more comfortable talking with a loved one about their concerns regarding mental health, rather than a stranger. We hope to alleviate this anxiety and uneasiness that many patients associate with a trip to the doctor's office. We aimed to create a personal therapist that anyone can use in the comfort of their own home, using brainwave sensing technology, as well as a monitoring app for doctors to track the health of their patients, consequently allowing them to find the best possible treatment for their diagnosis.

Upon further research into the Muse Headband, we were inspired by the possibilities of this cutting edge technology as a solution to the mis-prescription of mental health treatments to patients. We fused the Muse Headband technology with our virtual therapist app: tirri.

What it does

Beta brain waves are tied to identifying states of high anxiety. Using the EEG sensor technology in the existing Muse Headbands, we isolated the Beta waves received in real time. tirri is an app synced with the Muse Headband that presents the user with questions covering multiple aspects of daily life, collecting Beta wave measurements simultaneously. The app then presents the data to the user, highlighting the average value and presenting the optimal value. Over the course of a week, data is collected and presented in a summary graph and sent to the user's doctor through a synced app system. Values of concern will be sent to the doctor along with the corresponding question(s) that were presented when those values were reached.

How we built it

Java via Android Studio.

Challenges we ran into

  • Figuring out which numbers corresponded to which types of data sent from the Muse
  • Syncing/connecting the Muse to our application
  • Finding a name for the assistant, tirri

Accomplishments that we're proud of

  • Interfacing between the app and the Muse Headband
  • Being able to accurately display the data collected from the Muse Headband on to a graph

What we learned

  • Android Studio programming
  • How to debug
  • How to use different libraries (i.e. libmuse, graphview, viewpager)
  • Interfacing with Muse Headband
  • refining our problem-solving and teamwork skills

What's next for tirri

For the continuation of this project, we look to include the functionality to open a tirri community. Based on the collected results and user profiles, we hope to group users to form an understanding support system.

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