EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges

Technical advances in the neuroelectric recordings and in the computational tools for the analysis of the brain activity and connectivity make it now possible to follow and to quantify, in real time, the interactive brain activity in a group of subjects engaged in social interactions. The degree of interaction between persons can then be assessed by "reading" their neuroelectric activities. Imaging the social brain can thus open a new area of study in neuroscience.

Authors

• Bin Hu
• Dennis Majoe
• Martyn Ratcliffe
• Yanbing Qi
• Qinglin Zhao Macau University of Science and Technology
• Hong Peng
• Dangping Fan
• Fang Zheng
• Mike Jackson
• Philip Moore

Keywords

• Electroencephalography
• Feature extraction
• Noise reduction
• Frequency domain analysis
• User interfaces
• Brain models
• Neuroscience
• Ubiquitous computing
• Ubiquitous Applications
• Brain Activity
• Normal Control
• Chronic Stress
• Major Depressive Disorder
• EEG Recordings
• Online Processing
• Laboratory Trials
• Automated Data Processing
• Numerous Potential Applications
• Epilepsy Center
• New Area Of Study
• Time Domain
• Frequency Domain
• Post-traumatic Stress Disorder
• Characteristic Signals
• Independent Component Analysis
• EEG Data
• Mean Deviation Values
• EEG Signals
• Features Of EEG Signals
• History Of Depression
• Alpha Band
• Rényi Entropy
• Psychological Instruments
• Pittsburgh Sleep Quality Index
• Raw EEG
• Beck Depression Inventory-II
• Raw EEG Signals
• Bayesian Classifier
• Intelligent Systems
• brain informatics
• EEG
• cognitive interface