We present a real-time facial expression recognition toolkit that can automatically code the expressions of multiple people simultaneously. The toolkit is available across major mobile and desktop platforms (Android, iOS, Windows). The system is trained on the world's largest dataset of facial expressions and has been optimized to operate on mobile devices and with very few false detections. The toolkit offers the potential for the design of novel interfaces that respond to users' emotional states based on their facial expressions. We present a demonstration application that provides real-time visualization of the expressions captured by the camera.
['Daniel McDuff', 'Abdelrahman N. Mahmoud', 'Mohammad Mavadati', 'May Amr', 'Jay Turcot', 'Rana El Kaliouby']
AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit