Facereader onlin


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

Feature Benefit
Automatic recognition of key expressionsReduce time collecting behavioural data
Integrated with other data sources such as other behaviours, physiological measurements and eyetracking via The Observer XTPart of a complete solution for your your research needs



These are the options available for this product:

Option Purpose
The Observer XTIntegrate your automatic facial expression data with other behaviours for a complete analysis
The Observer XTSeamless integration with our remote eyetracker


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

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