FaceReader

Resources


Download our white papers

FaceReader Methodology

FaceReader can detect facial expressions and offers a number of extra classifications. Do you want to learn more about how FaceReader works? Read on!

Best practices FaceReader Online

Do you want to know how online facial expression analysis service FaceReader Online can benefit your UX and market research? Read on!

Custom expressions

Use Action Units (AUs) and other metrics to create custom expressions in FaceReader. This white paper will provide some best practices and advice to help you along.



Eye Tracking & FaceReader

Both eye tracking and facial expression analysis add substantial power to your research by providing information about attention and emotion.

Facial Action Coding System (FACS)

Coding facial actions enables a greater awareness to subtle facial behaviors. Recent advances in computer vision have allowed for reliable automated facial action coding.

EyeReader in FaceReader Online

Find out more about the methodology and accuracy of webcam-based eye tracking technology within FaceReader Online by downloading this white paper.

 


FaceReader product videos

FaceReader Classifications Demo

Discover the realtime modeling capabilities of FaceReader.

Affective attitudes in FaceReader

Using the Action Unit Module, Facereader is able to detect the affective attitude 'confusion'.

Baby FaceReader

Baby FaceReader enables you to recognize the facial expressions of an infant automatically!

 


FaceReader measures emotions

What does your face say?

Curious what emotions your face shows? Upload a photo here and our FaceReader software will test it for emotionality. The better quality the picture, the better the results! To get the best results, test only photos where your face is clearly visible. The lighting should be sufficient as well. 

Try it now and find out what your face says.

 
 


Customer success stories

How to measure emotions in the Uses and Acceptability Lab

Jean-Marc Diverrez, bcom Institute of Research and Technology

Sensory evaluation - Food science & technology

Prof. Susan Duncan, Virginia Tech

Social Media Lab: How people make sense of data

Tiffany Andry, University of Louvain

 


References

  • Dupré, D. et al. (2020). A performance comparison of eight commercially available automatic classifiers for facial affect recognition. PLoS ONE, 15(4):e0231968. https://doi.org/10.1371/journal.pone.0231968.
  • Märtin, C., Bissinger B.C., & Asta, P. (2021). Optimizing the digital customer journey - Improving user experience by exploiting emotions, personas and situations for individualized user interface adaptations. Journal of Consumer Behavior, 1-12. https://doi.org/10.1002/cb.1964.
  • Meng, Q. et al. (2020). On the effectiveness of facial expression recognition for evaluation of urban sound perception. Science of The Total Environment, 710, 135484, ISSN 0048-9697. https://doi.org/10.1016/j.scitotenv.2019.135484.
  • Rogers, J. (2022). Ethnicity & FaceReader 9 - A FairFace Case Study. Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods, held online, May 18-20, 2022. www.measuringbehavior.org. Editors: Andrew Spink, Jaroslaw Barski, Anne-Marie Brouwer, Gernot Riedel, & Annesha Sil (2022). https://doi.org/10.6084/m9.figshare.20066849. ISBN: 978-90-74821-94-0
  • Stöckli, S. et al. (2018). Facial expression analysis with AFFDEX and FACET: A validation study. Behav Res Methods, 50(4), 1446-1460. https://doi.org/10.3758/s13428-017-0996-1.
  • Talen, L. & den Uyl, T.E. (2021). Complex Website Tasks Increase the Expression Anger Measured with FaceReader Online. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2021.1938390.
 
 


Recent blog posts

Facial mimicry and social cognition in children with autism spectrum disorder

Facial mimicry and social cognition in children with autism spectrum disorder

When we want to understand each other better, we tend to copy one another's facial expressions. How does this work in children with autism spectrum disorder? In this blog post, you’ll learn more about facial mimicry in ASD.
Understanding infants’ social and moral development

Understanding infants’ social and moral development

At the Centre of Infant Cognition at UBC in Vancouver, researchers conduct independent studies as well as participate in ManyBabies projects to further understand the development of moral and social behaviors of infants.
Comparing machine emotion recognition with a human benchmark

Comparing machine emotion recognition with a human benchmark

Our emotions come across clear in our facial expressions. Due to this, facial expressions can be used in a wide variety of studies.