Student Work
SlipBuddy: A Machine Learning based Mobile Health App to Track and Prevent Overeating
PublicDownloadable Content
open in viewerWe designed, developed and tested SlipBuddy—an Android application that collects data about overeating episodes, identifies contextual patterns around overeating episodes and provides interventions when users are likely to overeat. SlipBuddy was piloted with a small group of users from the community.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-032516-000748
- Advisor
- Year
- 2016
- Sponsor
- Date created
- 2016-03-25
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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Final_SlipBuddy_MQP_Paper.pdf | Public | Download |
Permanent link to this page: https://digital.wpi.edu/show/8623j015p