HCI-BCI@IIT-KGP
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Rersearch Areas :
Human Computer Interfaces
Brain Computer Interfaces (algorithms, devices, systems, applications)
Neural Signal Processing
Neural Image Processing
Machine learning
Deep Learning
Artificial Intelligence
Rersearch Topics :
Computational approaches to understand and quantify Human Emotions
Real Time Emotion Recognition using fMRI and EEG Neuro-imaging Techniques (deep learning, reinforcement learning, adaptation, etc.)
Attention and Mind Wandering detection using Deep learning
Vigilance quantification detection and classification based on Neuro-physical marker
Applying BCI in real-life applications (AI based systems for MI persons)
Brain Computer Interfaces for text-entry using EEG signals
Sparsity based representations of EEG signals
Rersearch Highlights :
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Emotion Recognition from EEG Signal using XGBoost Algorithm
Designing and comparative analysis of hands-free touch-free BCI spellers
Cascaded and Bi-linear Deep Learning Models for Detecting Mind Wandering and Focus of a Person Using Electroencephalogram Signal
Ongoing Researches/Projects :
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