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- - 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.
- - In our client`s case, they used a heart rate monitor for the duration of testing
- - 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
- - Additionally, our clients will be able to utilize music biofeedback to improve their emotional state.
- - 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
- - Our solution is designed to allow for the non-intrusive reduction of our client's symptoms and possibly support professional intervention
- - 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
- - 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.
- - 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.
- - We also conducted an additional interview with our client to gain feedback for improvement
- - (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
- - Screenshare survey software + explain -> show database
- - After the client gets the data collection module set up, they can then take the daily survey (which is already filled for brevity)
- - finally, after they submit the survey, they can then access the web dashboard by logging in and clicking the refresh button
- - Here, they can view their statistics and use music biofeedback targeting the emotion that they need most improvement on
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