I. MOTIVATIONAutomated facial affect recognition is crucial to multiple domains (e.g., health, education, entertainment). Commercial tools are available but costly and of unknown validity. Opensource ones [1] lack user-friendly GUI for use by nonprogrammers. For both types, evidence of domain transfer and options for retraining for use in new domains typically are lacking.Deep approaches have two key advantages. They typically outperform shallow ones for facial affect recognition [2], [3], [4]. And pre-trained models provided by deep approaches can be fine tuned with new datasets to optimize performance.We demo AFAR 1 : an open-source, deep-learning based, user-friendly tool for automated facial affect recognition.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.