AttentivU is a wearable system that helps users to stay attentive and engaged with the task in hand while providing real-time user-desired auditory (bone conduction or open-ear speaker), haptic and/or visual feedback. It helps victims of ADD/ADHD while also augmenting the cognition of all groups of people.

I designed and implemented custom hardware, electronics, and firmware for the wearable glasses with real-time feedback to measure attention using physiological sensors - EEG (Electroencephalography) and EOG (Electrooculography). The minimal glasses make the interface unobtrusive and increase user experience. The modular electronics and software facilitate easy and seamless integration of user-desired feedback options and different input modalities for sensor fusion.

 

PUBLICATIONS:

  • Kosmyna, Nataliya, Utkarsh Sarawgi, and Pattie Maes. "AttentivU: Evaluating the Feasibility of Biofeedback Glasses to Monitor and Improve Attention." In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 999-1005. ACM, 2018.

  • Kosmyna, Nataliya, Caitlin Morris, Utkarsh Sarawgi, and Pattie Maes. "AttentivU: a Biofeedback System for Real-time Monitoring and Improvement of Engagement." In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, p. VS07. ACM, 2019.

  • Kosmyna, Nataliya, Caitlin Morris, Utkarsh Sarawgi, Thanh Nguyen, and Pattie Maes. "AttentivU: A Wearable Pair of EEG and EOG Glasses for Real-Time Physiological Processing." In 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 1-4. IEEE, 2019.

 
 
It is increasingly hard for adults and children alike to be attentive given the increasing amounts of information and distractions surrounding us. We have developed AttentivU: a device, in a socially acceptable form factor of a pair of glasses, that a person can put on in moments when he/she wants/needs to be attentive.

A video demonstrating real-time EOG and EEG data acquisition from my custom boards for AttentivU