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.
Free 30 day trial available to evaluate the software and support grant bids.
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: