We at Neurodata Lab have just recieved our RePSS Challenge award certificate. We congratulate our team members Mikhail Artemyev, Marina Churikova, Mikhail Grinenko and Olga Perepelkina on their amazing result! #CVPR2020 #AI #signalprocessing #machinelearning

How do we find sources of credible scientific information? Look for theories that follow 3 principles: rationality, verification, and falsification. We should be able to test the hypothesis empirically and find evidence to either prove or disprove it.

As soon as we presented a new neural network that detects heart rate from video, we won RePSS-hosted challenge at CVPR and showed state-of-the-art results in extreme settings. If you missed the whole show, you might want to know @CVPR is the top conference in machine learning.

We propose a new remote photoplethysmography method which enables heart rate detection by video from a standard webcam. Our recognition technologies scored perfectly in all settings, including blinking illumination, speech and large-amplitude movements → sciencedirect.com/science/ar…

If you are new to terms like computer vision and emotion AI, please have a look at a stream of our scientific director's talk and try to appreciate what an amazing opportunity it will become in the near future → youtu.be/ZXc8B9kB3hU youtu.be/ZXc8B9kB3hU

It's expected that Emotion AI or affective computing may be the next big thing in AI. Wonder what state the emotional intelligence research process is in? → searchcio.techtarget.com/fea…

All friends and followers are welcome, so don't hesitate to join a lecture given by our Scientific Director Olga Perepelkina at AI HEROES online series. Registration needed → ai-community.com/ai-heroes-n…

We went quite far in fitness performance tracking and developed a CVPM-winning contactless Heart Rate detector. It can also be combined with our contactless Respirate Rate tracker for more comprehensive results. → medium.com/@neurodatalab/how…

Neurodata has developed a set of 8 emotion recognition and human sensing technologies. Now you can use them to get insights into human behavior and reactions in ways that haven't existed before. All of these tools are now available for testing via API → api.neurodatalab.dev/

For those of you not in the know, we create multi-modal systems for emotion recognition and develop non-contact methods of physiological signal processing to take modern businesses to the next level. See how it works → neurodatalab.com/