Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild

Computer classification of facial expressions requires large amounts of data and this data needs to reflect the diversity of conditions seen in real applications. Public datasets help accelerate the progress of research by providing researchers with a benchmark resource. We present a comprehensively...

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Bibliographic Details
Main Authors: McDuff, Daniel Jonathan (Contributor), Senechal, Thibaud (Author), Amr, May (Author), Cohn, Jeffrey F. (Author), Picard, Rosalind W. (Contributor), El Kaliouby, Rana (Author)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor), el Kaliouby, Rana (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2013-09-16T13:12:16Z.
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