Emotion analysis

FaceReader

To gain accurate and reliable data about facial expressions, FaceReader is the most robust automated system that will help you out.

  • Clear insights into the effect of different stimuli on emotions

  • Very easy-to-use: save valuable time and resources

  • Easy integration with eye tracking data and physiology data

FaceReader
 
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Trusted by researchers around the world

 

FaceReader benefits your work

Many researchers have turned towards using automated facial expression analysis software to better provide an objective assessment of emotions. FaceReader is used worldwide at more than 1,000 universities, research institutes, and companies in many markets, from consumer and psychology research to usability studies. 

FaceReader software is fast, flexible, objective, accurate, and easy to use. It immediately analyzes your data (live, video, or still images), saving valuable time. The option to record audio as well as video makes it possible to hear what people have been saying – for example, during human-computer interactions, or while watching stimuli.

 
 


Measure emotions with FaceReader

FaceReader is the best automated system for the recognition of specific properties in facial images and expressions. Next to the basic or universal expressions, you can define your own Custom Expressions. Additionally, FaceReader can recognize a 'neutral' state and analyze 'contempt'.

Whether your test participant is a baby, a child, an adult, or an older person, FaceReader adjusts the analysis to the model that best fits your research.

 
 


How FaceReader works

  1. Face finding – Finds a face using a Deep Learning based face finding algorithm
  2. Face modeling – Makes an accurate artificial face model using almost 500 key points
  3. Face classification – Classifies the expressions with artificial neural networks

These steps result in outcomes such as basic expressions, custom expressions, head orientation, gaze direction, valence and arousal, Action Units, heart rate and heart rate variability, and consumption behavior.

 
 


Customer quote

FaceReader is the most reliable software tool for facial expression analysis (source).

 


Accurate emotion classification

According to a validation study using ADFES, FaceReader 9 delivers accurate performance for emotion classification, with an average accuracy of 99% [1].

Facereader 9 Average Performance

What you should know about FaceReader, our facial expression recognition tool

References

  1. The average performance of FaceReader 9 was measured with the datasets Amsterdam Dynamic Facial Expression Set (ADFES).
 
 


License structure

FaceReader uses software based licensing to offer you maximum flexibility. To activate the software license key you need an internet connection. Upon activating you can choose between:

  • Fixed license - Use the software on a single designated computer. The license is connected to your computer and can be used without an internet connection.
  • Floating license - Install the software on any computer and use it where and when you want. For example, on the computer in your lab at work and the next day on your laptop at home. For the use of the software, the computers need to be connected to the internet.
 


Statistics Facereader for facial expression analysis

FaceReader is used worldwide at more than 1,000 universities (including 6 out of 8 Ivy League universities), research institutes, and companies in many markets such as psychology, consumer research, user experience, human factors, and neuromarketing.

Are you next?

  

 


Relevant blogs

Measuring experiential, behavioral, and physiological outputs

Measuring experiential, behavioral, and physiological outputs

In a romantic relationship, it is undoubtedly important to show support when one’s partner shares his or her accomplishments and positive life events.
Three ways to understand consumer emotions

Three ways to understand consumer emotions

Many companies are seeking ways to understand consumer emotions in order to predict product acceptability. Here are three ways you could set up your study to assess consumer emotions.
Analysis of facial expressions of emotions in children

Analysis of facial expressions of emotions in children

The study described in this guest blog post focuses on the facial expressions of emotions induced by affective stimuli in children aged between 7 and 14.
 
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