FaceReader is designed to automatically recognise and log basic expressions: happy, sad, angry, surprised, scared and disgusted. In addition, FaceReader can also recognise 'contempt' and 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 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
- Advanced Stimulus Presentation Tool for images and video
- Quick analysis of multiple videos using the new batch option
- API that allows other programs to react instantly to emotions
- Measures heart-rate remotely
- Synchronises and communicates with other Noldus products via N-linx
How it Works
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
|Automatic recognition of key expressions||Reduce time collecting behavioural data|
|Integrated with other data sources such as other behaviours, physiological measurements and eyetracking via The Observer XT||Part of a complete solution for your your research needs|
Here are some of the many scenarios which have used FaceReader:
- Researching fear responses
- Market Research
- Testing the impact of new marketing material
- Developing more provocative and memorable study aids
- Human-computer interaction
- Examining the effectiveness of user interfaces