Overview

FaceReader is designed to automatically recognise and log the six basic expressions; happy, sad, angry, surprised, scared and disgusted. In additional, FaceReader can also recognise a 'neutral' state. It will also log other information from the face such as age, gender, ethnicity and the presence of facial hair and glasses.

FaceReader 4.0 automatically logs specific facial changes e.g. mouth open / closed or eyebrows raised. New features include;

• Increased accuracy using new 3D modelling algorithms
• Massive increase in facial tracking points from 55 to 491
• Quick analysis of multiple videos using the new batch option
• API that allows other programs to react instantly to emotions

How does it work?

Using still images, video clips or a live feed, FaceReader creates a map of the face and uses the movement of key points on this surface to identify facial expression changes.

Data is displayed in real time, represented as a continuous signal or bar chart. Once a subject has been tracked the system will recognise them automatically in subsequent  trials.

Data can be exported directly to The Observer XT for comprehensive data integration e.g. combination with tasks, physiological measurements and eyetracking.

Features and Benefits

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