Oxford University Press / Volkswagen / Affectiva Inc. / Google Inc. / /
Country
United States / / /
Facility
Carnegie Mellon University / Robotics Institute / /
IndustryTerm
data collection protocol / online viewers / online media effectiveness / online videos / Internet crowdsourcing / online media / djmcduff@media.mit.edu / valid online media / video labeling tool / similar web-based framework / affective computing / media testing / video processing / affective computing algorithms / reallife applications / detection algorithms / Media clip / web-based framework / picard@media.mit.edu / expression recognition systems / /
MusicGroup
Smile / /
Organization
Robotics Institute / MIT Media Lab / African Union / MIT / US Federal Reserve / Carnegie Mellon University / Pittsburgh / Oxford University / MIT COUHES / MIT Committee On the Use of Humans / Pattern Analysis and Machine Intelligence / /
Person
Khoulood Ayman / G. McKeown / Rana El Kaliouby / M. Valstar / M. Pantic / Oliver Wilder-Smith / R. Cowie / Richard Sadowsky / Rosalind Picard / Jay Turcot / Zhihong Zeng / Jeffrey F. Cohn / M. Schroder / /
Position
forward Head / depressor Chin raiser Lip pucker Jaw drop Head / /
Product
ViDL / /
PublishedMedium
Journal of Multimedia / /
SportsEvent
Super Bowl / /
Technology
affective computing algorithms / AU4 detection algorithms / data collection protocol / AU algorithms / detection algorithms / machine learning / gesture recognition / Flash / mobile devices / /
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected In-the-Wild Daniel McDuff†‡ , Rana El Kaliouby†‡ , Thibaud Senechal‡ , May Amr‡ , Jeffrey F. Cohn§