Student Work
Smartphone Infection Tracking
PublicDownloadable Content
open in viewerCOVID-19 has infected millions over the past year. The virus spreads through close contact with those who are infected. This paper discusses the development of the android app Goatvid Trace which calculates a user’s risk of exposure to COVID-19. Our study to test the app found that the mean risk score of WPI students was 25.6%. The paper also discusses the Machine Learning model that estimated distances between two phones with a CV RMSE of 1.587660707.
- 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
- 22741
- E-project-050621-100405
- Keyword
- Advisor
- Year
- 2021
- Date created
- 2021-05-06
- Resource type
- Major
- Rights statement
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- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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Smartphone COVID Infection Risk Assessment MQP Report.pdf | Public | Download |
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