Our project will utilize a smartwatch’s heart rate monitor and alert the user of any spikes, prompting the user to listen to music. Suppose you are working on a Systems project and the due date is coming up sooner than you anticipated. You grow more anxious with each fleeting moment, craving some auditory relief. Based on user-inputted preferences, this app will recommend some music. After the song is over, your RH will ideally approach normal levels (i.e. RHR). This doesn’t necessarily have to be therapeutic. Another instance could be to add some excitement after a long day of class (e.g. EDM, trap, etc.). The intended audience is anyone who has a pulse, smartwatch/phone, and any interest in any music. The end result will be a visualization that shows your HR throughout the entire day and how the music influences it. While this might not be a strictly accurate representation of stress or mood, we can collect data and observe the effects of music on mood in a creative fashion. Your daily visualizations will be saved with a social feature to compare what songs make you feel best (sometimes you might not know). Spotify offers a radio play feature that often knows you better than yourself based on what you have been listening to. The liveness is evident in HR monitoring and how it changes from a song or (dynamic) playlist.
We envisioned something similar to the image below but with another graph that represents the music (think Audacity):
A mockup of the watch interface {“green”: “health”, “red”: “high”, “yellow”: “low”}:
Additional features/enhancements:
- Color-coded notifications by “mood”
- Nature sounds/white noise for sleep
- Home assistant integration
- Customized mashups which is a separate idea that we hope to integrate (à la http://themagicipod.com/)