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Full-Text Articles in Engineering
Eeg-Based Brain-Computer Interface For Automating Home Appliances, Abdel Ilah N. Alshbatat, Peter J. Vial, Prashan Premaratne, Le Chung Tran
Eeg-Based Brain-Computer Interface For Automating Home Appliances, Abdel Ilah N. Alshbatat, Peter J. Vial, Prashan Premaratne, Le Chung Tran
Faculty of Engineering and Information Sciences - Papers: Part A
An EEG-based brain-computer system for automating home appliances is proposed in this study. Brain-computer interface (BCI) system provides direct pathway between human brain and external computing resources or external devices. The system translates thought into action without using muscles through a number of electrodes attached to the user's scalp. The BCI technology can be used by disabled people to improve their independence and maximize their capabilities at home. In this paper, a novel BCI system was developed to control home appliances from a dedicated Graphical User Interface (GUI). The system is structured with six units: EMOTIV EPOC headset, personal computer, …
Discriminative Sparse Inverse Covariance Matrix: Application In Brain Functional Network Classification, Luping Zhou, Lei Wang, Philip O. Ogunbona
Discriminative Sparse Inverse Covariance Matrix: Application In Brain Functional Network Classification, Luping Zhou, Lei Wang, Philip O. Ogunbona
Faculty of Engineering and Information Sciences - Papers: Part A
Recent studies show that mental disorders change the functional organization of the brain, which could be investigated via various imaging techniques. Analyzing such changes is becoming critical as it could provide new biomarkers for diagnosing and monitoring the progression of the diseases. Functional connectivity analysis studies the covary activity of neuronal populations in different brain regions. The sparse inverse covariance estimation (SICE), also known as graphical LASSO, is one of the most important tools for functional connectivity analysis, which estimates the interregional partial correlations of the brain. Although being increasingly used for predicting mental disorders, SICE is basically a generative …