Enroll in this study and help us improve education and health

This is an opportunity to help the billions of people who are impacted by ineffective education and healthcare. By participating, you're helping us to create state-of-the-art technology for good.

Robbie Vision uses advanced artificial intelligence to assess and predict human emotion through facial expression recognition in real time. Funded by Horizon 2020, the European Union’s program for science, research and innovation, this technology will facilitate detection of emotional states with important consequences for health, education and wellbeing. Participation is voluntary. All data is anonymous, and will never be sold or shared with any third-party.


I want to participate

AI SENSITIVE TO HUMAN EMOTIONS

Affective analytics to assess and predict human emotions and behavior through real-time wearable technology and AI.

EMOTIONS IN CONTEXT

Robbie understands emotions and its impact on learning, health, and wellbeing. Robbie tracks, predicts, and recommends based on affective states, creating truly adaptive environments to improve lives. We have arrived at a new era of personalization, through the internet of emotional things: the new era of AI with empathy.

BAND

The band tracks vitals like skin conductance or cardiac indicators to analyze emotions in real time, such as your brain interprets your body response to stimuli.

VISION

Robbie can observe and understand your both basic and complex emotions in real time, for example helping students to be more motivated and engaged.Computer vision with human-like reasoning.

MISSION

Solving human emotions to improve lives with AI.

TEAM

Awarded with a grant from the European Union's Horizon 2020, we're a team of machine learning researchers, computational neuroscientists, software engineers, industrial designers and Electronic designers, working together to improve lives.

Contact us

hello@robbie.ai

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 666810