Facial expression analysis

FaceReader is a complete end-to-end solution that consists of the following components:

  • FaceReader 7 software
  • Project Analysis Module
  • Action Unit Module
  • Remote Photoplethysmography Module
  • Webcam
  • Illumination set
  • Computer
FaceReader is the complete solution for facial expression analysis!

FaceReader is used at over 500 sites worldwide. It scores a 95,9% agreement (Happy) when comparing FaceReader outcomes with the facial expressions scored manually by the professional annotators - Langner, O., Dotsch, R., Bijlstra, G., Wigboldus, D. H. J., Hawk, S. T., & van Knippenberg, A. (2010). Presentation and validation of the Radboud Faces Database. Cognition and Emotion, 24 (8), 1377-1388.

Online FaceReader Demonstration

Curious what emotions your own face shows? In this demo the facial expression of a person is automatically extracted from a single picture. Additionally, FaceReader is capable of extracting some personal characteristics, like gender, facial hair, an age indication and whether a person is wearing glasses or not. This online demonstration lets you analyze images containing a face, by entering an URL or uploading a file.

Participant emotion analysis

Facial expressions can be visualized as bar graphs, in a pie chart, and as a continuous signal. A gauge display summarizes the negativity or positivity of the emotion (valence). The timeline gives you a detailed visual representation of the data. A separate reporting window displays a pie chart with percentages, a smiley, and a traffic light, indicating whether a person’s mood is positive, neutral, or negative. All visualizations are given to you in real-time and may be viewed afterwards. With the Project Analysis Module, advanced facial expression analysis has become available in FaceReader.

Circumplex model of affect

The circumplex model of affect describes the distribution of emotions in a 2D circular space, containing arousal and valence dimensions. FaceReader offers a real-time representation of this model with the horizontal axis representing the valence dimension (pleasant - unpleasant) and the vertical axis representing the arousal dimension (active - inactive). Facial expressions automatically measured with FaceReader can be represented at any level of valence and arousal. Circumplex models are commonly used to assess liking in marketing, consumer science, and psychology (Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39 (6), 1161).

FaceReader also includes arousal and the circumplex model of affect.

Project Analysis Module

FaceReader is a full-scale solution enabling you to work effectively and efficiently allowing you to present your research findings quickly. Simply use a marker function to code events such as ‘start commercial’, ‘distraction’, ‘talking’, or ‘presenting stimulus’. By choosing a name, trigger code, and color, you can annotate your videos for further analysis in FaceReader. When you would like to compare responses of participants when watching the same commercials, you can indicate which commercial started when, or you can code interesting episodes. Selections of participants can easily be made automatically or manually, for example, by selecting all female test participants and comparing their responses to different commercials. 

Moreover, the Project Analysis Module can create multiple visual presentations of your data, including:

  • An individual line graph shows the intensity of the recorded emotions and can be displayed in sync with the video of the test participant and the stimulus, giving you a complete overview. 
  • When working with multiple test participants, a summary line graph can be displayed and synchronized with the stimulus providing a solid impression of the overall responses. 
  • A pie chart which shows a summary of results of multiple test participants based on your own (marker) selection. Choose a pie chart of combined line graphs, whatever provides you with the best overview. 
  • Box plots per emotion of the results of all test participants per stimulus are a real visual aid in determining which emotion prevailed on which stimulus. 

All graphs can be saved as a picture for presentation purposes. Output (log files) can be exported to a program of your choice, such as Excel or The Observer XT.

Action Unit Module

FaceReader automatically analyzes a selection of 20 commonly used Action Units, such as raising of cheeks, wrinkling of nose, dimpling, and lip tightening.