• Corpus ID: 239616430

Future of Smart Classroom in the Era of Wearable Neurotechnology

  title={Future of Smart Classroom in the Era of Wearable Neurotechnology},
  author={Mojtaba Taherisadr and Berken Utku Demirel and Mohammad Abdullah Al Faruque and Salma Elmalaki},
Interdisciplinary research among engineering, computer science, and neuroscience to understand and utilize the human brain signals resulted in advances and widespread applicability of wearable neurotechnology in adaptive human-inthe-loop smart systems. Considering these advances, we envision that future education will exploit the advances in wearable neurotechnology and move toward more personalized smart classrooms where instructions and interactions are tailored to students’ individual… 

Figures from this paper


Towards Internet-of-Things for Wearable Neurotechnology
The prevalent challenges for the emerging wearable neurotechnology in modern IoT systems are outlined and the recent insights in neuroscience and the ability to decode the brain circuitry with high confidence are underline.
Internet of Personalized and Autonomous Things (IoPAT): Smart Homes Case Study
This paper proposes an architecture for personalized and autonomous IoT systems that weaves personalization and context-awareness into the very fabric of smart systems and shows how the proposed architecture can adapt to human behaviors that are varying between individuals and vary, for the same individual, across time.
The ‘smart’ classroom: a new frontier in the age of the smart university
A conceptual map of the scope and limitations of smart classrooms is provided, contextualized to smart university initiatives, and the ethical implications of the smart classroom are explored.
Fully portable and wireless universal brain-machine interfaces enabled by flexible scalp electronics and deep learning algorithm
A fully portable, wireless, flexible scalp electronic system, incorporating a set of dry electrodes and a flexible membrane circuit, allowing for wireless, real-time, universal electroencephalography classification for an electric wheelchair, a motorized vehicle and a keyboard-less presentation.
Plugging in to Human Memory: Advantages, Challenges, and Insights from Human Single-Neuron Recordings
A model of how memories are encoded in the human hippocampal formation is proposed, suggesting that the context-independent, invariant coding by concept cells may provide a uniquely human neural mechanism underlying memory representations.
Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamics.
Recent progress in the use of concurrent EEG-fMRI to enrich the investigation of neural and physiological states and clarify the origins of fMRI hemodynamic signals is discussed.
Physiological State and Learning Ability of Students in Normal and Virtual Reality Conditions: Complexity-Based Analysis
Avirtual reality condition has a greater effect on enhancing the learning ability of students and can be further extended to evaluate other physiological signals of subjects in a virtual reality condition.
Single-Channel EEG Based Arousal Level Estimation Using Multitaper Spectrum Estimation at Low-Power Wearable Devices
It is shown that the spectral slope (1/f) of the electrophysiological power spectrum reflects the scale-free neural activity, and the proposed methodology discriminates wakefulness from reduced arousal solely based on the neurophysiological brain state with more than 80% accuracy.
Brain-to-Brain Synchrony Tracks Real-World Dynamic Group Interactions in the Classroom
A novel analysis technique to assess group-based neural coherence demonstrates that the extent to which brain activity is synchronized across students predicts both student class engagement and social dynamics, suggesting that brain-to-brain synchrony is a possible neural marker for dynamic social interactions.
Developing Students’ Learning and Innovation Skills Using the Virtual Smart Classroom
This study examined the development of learning and innovation skills among students in the virtual learning environment provided by the smart classroom which is comprised by three technological