Emotion recognition

Emotion recognition

This technology has been trained to track the features of a human face and recognize a number of emotional responses. Potential applications include collecting emotional feedback both in controlled environments, like tests, surveys, or focus groups, and out in the retail settings, like promos and window displays.



Uses a device camera to read facial expressions


Neutral expression + 6 base emotions


Uses neural networks, optimized for mobile devices.


Works with both photo and video input

Application Examples

Nicola app

Implemented to collect emotional feedback when reading

Design testing

Collecting emotional feedback when testing interfaces and products

Empathetic interfaces

Games, chats, and other digital products that react to user’s emotions

Promo analysis

Analyzing emotional reactions to both online and in-store promos