AttentivU: An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 23; p. 5200
• Main Authors: Kosmyna, Nataliya, Maes, Pattie
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 27.11.2019; MDPI
• Subjects: Adult; Biofeedback; Brain-Computer Interfaces; Classrooms; Electroencephalography; Electroencephalography - methods; Feedback; Female; Grain size; Humans; Learning; Learning - physiology; Male; Neurofeedback - physiology; Physiology; Real time; Reproducibility; Signal processing; Students; Vibration; Wearable Electronic Devices; electroencephalography (EEG); feedback; brain–computer interfaces; real-time; closed loop

Information about a person’s engagement and attention might be a valuable asset in many settings including work situations, driving, and learning environments. To this end, we propose the first prototype of a device called AttentivU—a system that uses a wearable system which consists of two main com...