Full metadata
Title
Doyle_Spring_2023.pdf
Description
This project seeks to motivate runners by creating an application that selectively plays music based on smartwatch metrics. This is done by analyzing metrics collected through a person’s smartwatch such as heart rate or running power and then selecting the music that best fits their workout’s intensity. This way, as the workout becomes harder for the user, increasingly motivating music is played.
Date Created
2023-05
Contributors
- Doyle, Niklas (Author)
- Osburn, Steven (Thesis director)
- Miller, Phillip (Committee member)
- Barrett, The Honors College (Contributor)
- Computer Science and Engineering Program (Contributor)
- School of Music, Dance and Theatre (Contributor)
Topical Subject
Resource Type
Extent
21 pages
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2022-2023
Handle
https://hdl.handle.net/2286/R.2.N.184572
System Created
- 2023-04-11 04:25:12
System Modified
- 2023-04-11 06:26:36
- 1 year 7 months ago
Additional Formats