FaceReader automatically analyses facial expressions, providing an objective measurement of emotions. It classifies the six basic expressions: happy, sad, angry, surprised, scared and disgusted, as well as recognising 'contempt' and a 'neutral' state. Attitudes such as ‘interest’, ‘boredom’ and ‘confusion’ can also be automatically measured and recent work even allows researchers to explore whether a person is being sincere (for example when they smile).
FaceReader also logs: valence, arousal, gaze direction, head orientation, age, gender, ethnicity and the presence of facial hair and glasses.
Using still images, video clips or a live feed, FaceReader classifies the face through:
|Easy to use and automatic analysis||Saves time and gives clear insights into facial behaviour|
|Project Action Module||Analyse group data and present stimuli using the Stimulus Presentation Tool|
|Action Unit Module||Classifies the 20 most common action units for more subtle facial changes, and 3 affective attitudes: ‘interest’, ‘boredom’ and ‘confusion’ on an experimental basis|
|RPPG Module||Estimates heart rate from colour changes in the skin, reflecting blood flow and oxygenation|
|Wide variety of visualisation options||Data easily accessible to users|
|Integrated with other data sources such as other behaviours, physiological measurements and eye tracking via The Observer XT||Part of a complete solution for your research needs|
Here are some of the many scenarios which have used FaceReader: