Why use FaceReader?

Save time and resources

You will be able to quickly detect interesting episodes in a long series of events. FaceReader will save you valuable time and resources: instead of you spending time annotating facial expressions, the computer does the work.

Increase accuracy, reliability, and objectivity

Using FaceReader for analysis of facial expressions increases accuracy and reliability in your observations. It also helps you to improve the objectivity of user experience evaluation.

Integrated solution with The Observer
Importing the FaceReader data into The Observer^® offers a unique solution for integration, visualization, and analysis of FaceReader data with other data, such as manually logged events, physiological data and eye tracking data. This compatibility enables you to analyze the full context: what user interface is the test participant looking at or which image is triggering an emotion? You can use the advanced video-editing functions of The Observer to create highlight clips in no time.

Additional features

In addition to analyzing expressions, FaceReader can also classify faces on the following properties:

• gender
• age
• ethnicity
• facial hair (beard and/or moustache)
• the wearing of glasses

Also, FaceReader includes a basic person recognition algorithm. Hereby, individual persons can be recognized after the input of the original facial image once before. You can use FaceReader for analysis of media files or still images. FaceReader can also analyze live: all it takes is a good quality webcam.