• As schools and universities around the world are switching to online learning, and millions of students are watching the screens during their school day, it is hard to imagine a personalized learning experience. But the associate professor of the Department of Electrical and Computer Engineering, Rosa Fakhih, sees it differently, and it all starts with the fact that students wear smart watches that deliver information about their emotional and cognitive states.

    “Suppose a student watched an online video for eight minutes and was disconnected; if we can track this, we can automatically pause the video for this student and give them a short test to make sure that they continue to study, ”Fagih said. The ability to individually respond to the student in this way will be possible thanks to the wearable closed-loop architecture, which is currently not available in conventional smart watches for citizen

    For her proposal to create algorithms that provide this kind of information about brain conditions, Fagih received one of the most prestigious awards awarded by the National Science Foundation, an award for the early career development (career) of the faculty, which supports teachers at the beginning of their careers, which, according to NSF will ultimately serve as academic role models in research and education and lead achievements in their fields. A $ 525,000 five-year award was given to Fagih for her project called MINDWATCH, the abbreviation for multimodal intelligent non-invasive brain state decoder for wearable adaptive closed architectures.

    The faghih signal processing and control algorithms, or infrastructure, for a wearable device provides information on three types of brain conditions — stress, cognitive involvement (or boredom), and cognitive learning based on several signals from the wearer, including sweat reaction, breathing, heart function, and temperature .

    Fahih calls it the navigation system for the brain.

    “He overcomes the barriers to achieving wearable devices with brain consciousness, a pioneer in creating transformational system-theoretical computing tools for non-invasive wearable closed-loop architectures that monitor and modulate brain functions without the need for neural recordings,” Fahih said.

    In other words, judging brain conditions has never been so easy; no electroencephalogram (EEG) testing and monitoring is required in which electrodes are attached to a scalp or cap to measure brain activity.

    The potential applications for squirrel cage technology are endless.

    “Another app might be for seniors. If they are alone at home, and they are not busy, or they are depressed, the algorithm can detect it in a smart home environment, and then change the frequency or color of the light in their house, or start playing music in the background so that they are busy again, ” said Fagih, who will test an intelligent light-music system in his laboratory.
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