• DR ALESSANDRO VINCIARELLI BECOMES NEURODATA LAB’S SCIENCE ADVISOR

    With his main research interest in Robotics and Social Signal Processing, the computing domain aimed at modelling, analysis and synthesis of nonverbal behaviour in human-human and human-machine interactions, Dr Alessandro…

  • NEURODATA LAB BECOMES A PROFESSIONAL PARTNER OF THE AIMOVE POST-MASTER’S DEGREE

    We are happy to announce Neurodata Lab is now a Professional Partner of the Artificial Intelligence and Movement AIMove Post-Master’s Degree, delivered by the MINES ParisTech — école des Mines de Paris. Olga Perepelkina,…

  • Let’s talk about pitch-tracking

    In Emotion Recognition, the voice is the second most important source of affective data, after the face. The voice can be characterized by several parameters. The pitch of the voice…

  • EMOTION CLASSIFICATION: AT THE HEART OF AFFECTIVE COMPUTING

    Emotion AI, apart from the obvious connection to machine learning and neural networks, arises from emotion science. There are several challenges posed in the field, the biggest probably being the…

  • Eye Tracking — The Best Lie Detector

    A person can learn to control facial expressions, at least partially, and learn to “dodge” with the help of body language. However, eye movements are more difficult to control сonsciously….

  • EMOTION RECOGNITION AS A NEW AGE INDUSTRY

    The interest around emotion recognition has been developing since the beginning of 21st century and reached its peak around 2016. At the edge of 2015-2016 we saw numbers of russian…

  • THE VALUE OF A SMILE: WHY AI SYSTEMS ARE LEARNING TO RECOGNIZE HUMAN EMOTIONS?

    Originally published at Forbes Russia on August 8, 2017 Emotion recognition market value is worth approximately $ 20-30 billion, but vendors do not know exactly how to approach it A surge of…

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