Student Work

Face Analytics Web Platform

Public

Downloadable Content

open in viewer

Automatic 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

Permanent link to this page: https://digital.wpi.edu/show/dn39x3091