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AttentivU is a neural AI platform for wireless non-invasive sensing of person’s cognitive states available in different form-factors: glasses, headphones, AR, VR, headbands, earpods, etc.
AttentivU is designed to measure various cognitive processes, including: cognitive load, fatigue, engagement, several types of attention, using brain activity (Electroencephalography - EEG; functional Near-Infrared Spectroscopy - fNIRS), eye movements (Electrooculography - EOG), and other sensors.
AttentivU has been tested in the multitude of studies in different environments outside of the lab settings: home, work, industrial, educational, medical, recreational, virtual, space, driving.
AttentivU can be used for passive or active interventions, for example to monitor the state of the user, providing gentle audio or haptic feedback when the user is less attentive (driving scenario) or adapting the environment when cognitive overload is detected (blocking the notifications). The system can operate in a standalone, non-networked fashion to ensure privacy of the collected data. The use of the AttentivU can be limited to just those moments when the user decides they want to learn to sustain their attention.
We have tested the first/second/third generation prototypes of the device in workplace (check the paper here ) and learning settings (check the paper here and here) with over 200 subjects. We performed experiments with people studying or working by themselves, viewing online lectures as well as listening to a professor at the university. We have completed the test of the glasses prototype (check the paper here) with more than 30 subjects who were performing a driving task in a simulator overnight when their attention waned, and the system reminded them with a sound or with a vibration to pay attention to the road . This research paper was rewarded with the honorable mention award at the 2019 AutoUI conference. Please check the dedicated page about the car use case scenarios here.
Additionally, we explored the use of the glasses in co-bot scenarios (human-robot collaboration). Check the dedicated project, Ddog, here.
To learn more about AttentivU - please check the dedicated website.
Please check the FAQ (bottom of this page) if you have more questions about the project and/or want to collaborate with us!