Student Work
Face Analytics Web Platform
PublicDownloadable Content
open in viewerAutomatic facial expression recognition technology can help researchers to conduct behavioral analyses and to improve the usability of a variety of software systems, especially in the domains of education and computer games. In order to obtain accurate results, it is important to conduct large-scale experiments over hundreds or even thousands of subjects; however, to-date there is no freely available platform to conduct experiments of this scale. This project aims to facilitate such experimentation by creating a web-based platform with which users can watch a stimulus video while their own reaction video is being recorded and transmitted simultaneously.
- 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-032217-130652
- Advisor
- Year
- 2017
- Date created
- 2017-03-22
- Location
- Boston
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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Face_Analytics_Web_Platform_Final_Paper.pdf | Public | Download |
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