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!

How to build an AV-Lab

An AudioVisual lab is designed to allow you to observe your test participants unobtrusively. Do you want to learn more how to set up an AV-lab? Read on!

 


FaceReader product videos

FaceReader ss happy man

FaceReader Classifications Demo

Discover the realtime modeling capabilities of FaceReader.

FaceReader affective attitudes female screenshot

Affective attitudes in FaceReader

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

baby facereader infant boy screenshot action units

Baby FaceReader

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

 


FaceReader measure emotions young female happy

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

Customer success story Diverrez

How to measure emotions in the Uses and Acceptability Lab

Jean-Marc Diverrez, bcom Institute of Research and Technology

CSS Virginia tech food science sensory evaluation susan duncan

Sensory evaluation - Food science & technology

Prof. Susan Duncan, Virginia Tech

Customer success story Social Media Lab

Social Media Lab: How people make sense of data

Tiffany Andry, University of Louvain

 


References

  • Bartkiene, E.; Steibliene, V.: Adomaitiene, V.; Juodeikiene, G.; Cernauskas, D.; Lele, V.; Klupsaite, D.; Zadeike, D.; Jarutiene, L. & Guiné, R.P.F. (2019). Factors Affecting Consumer Food Preferences: Food Taste and Depression-Based Evoked Emotional Expressions with the Use of Face Reading Technology. BioMed Research International, 4, 1-10. https://doi.org/10.1155/2019/2097415.
  • De Wijk, R.A.; Kaneko, D.; Dijksterhuis, G.B.; Zoggel, M. van; Schiona, I.; Visalli, M. & Zandstra, E.H. (2019). Food perception and emotion measured over time in-lab and in-home. Food Quality and Preference, 75, 170-178. https://doi.org/10.1016/j.foodqual.2019.02.019
  • Dupré, D.; Krumhuber, E.G.; Küster, D.; McKeown, G.J. (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
  • El Haj, M.; Antoine, P. & Nandrino, J.L. (2017). Facial expressions triggered by imagining the future. Journal of Integrative Neuroscience, 16 (4), 483–492. https://doi.org/10.3233/JIN-170030.
  • Noordewier, M.K. & Dijk, E. van (2018). Surprise: unfolding of facial expressions. Cognition and Emotion. https://doi.org/10.1080/02699931.2018.1517730.
  • Riem, M.M.E. & Karreman, A. (2019). Experimental manipulation of emotion regulation changes mothers’ physiological and facial expressive responses to infant crying. Infant Behavior and Development, 55, 22-31. https://doi.org/10.1016/j.infbeh.2019.02.003
  • Stöckli, S.; Schulte-Mecklenbeck, M.; Borer, S. & Samson, A.C. (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
 
 


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