AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition

Automated facial affect recognition is crucial to multiple domains (e.g., health, education, entertainment). Commercial tools are available but costly and of unknown validity. Open-source ones [1] lack user-friendly GUI for use by non-programmers. For both types, evidence of domain transfer and options for retraining for use in new domains typically are lacking.