andy-phung

Untitled

Apr 6th, 2021 (edited)
82
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 2.49 KB | None | 0 0
  1. - Our solution is comprised of a small Arduino-powered module transmitting biometric data through sensors via a data pipeline into a web dashboard accessible to users.
  2. - In our client`s case, they used a heart rate monitor for the duration of testing
  3. - Our clients will be able to view their symptom reduction progress via graphs and see two week projections of their future progress--this allows them to analyze their progress in reducing their symptoms
  4. - Additionally, our clients will be able to utilize music biofeedback to improve their emotional state.
  5. - Our solution fulfills most of our criteria, requirements, and our user`s needs, including being able to significantly reduce objectively measured anxiety and depression, generate accurate future projections, and minimize latency and yearly operating costs
  6. - Our solution is designed to allow for the non-intrusive reduction of our client's symptoms and possibly support professional intervention
  7. - Our solution uniquely leverages machine learning and an accurate self-assessment to tailor its music biofeedback methods to any/most psychiatric disorders; this can be considered an extremely novel form of traditional biofeedback and what makes resync truly unique
  8.  
  9.  
  10. - The development of the first iteration of our prototype is comprised of 2 stages. Phases in the first stage include initial conception and brainstorming, conducting research and interviews with experts, including psychiatrists, and interviewing our client to develop a self diagnosis test and outline our project goals.
  11.  
  12. - The second stage consisted of establishing our requirements based on the information we had, designing and implementing our framework, and conducting unit tests on the major components of our system.
  13. - We also conducted an additional interview with our client to gain feedback for improvement
  14.  
  15. - (pre-open survey, preconnect arduino, pre-fill dashboard) So here`s the data collection module, which collects data from this sensor (which can be any sensor) and sends that data to a google sheet that the cloud computing can then pull from
  16. - Screenshare survey software + explain -> show database
  17. - After the client gets the data collection module set up, they can then take the daily survey (which is already filled for brevity)
  18. - finally, after they submit the survey, they can then access the web dashboard by logging in and clicking the refresh button
  19. - Here, they can view their statistics and use music biofeedback targeting the emotion that they need most improvement on
  20.  
  21.  
  22.  
  23.  
Add Comment
Please, Sign In to add comment