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brain signals (EEG)

Predicting term-relevance from brain signals (Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval)

Predicting term-relevance from brain signals (Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval)

... active brain areas and signal ...from brain signals alone, ...or brain-computer in- terface (BCI) training. The high throughput of brain signals enables the capture of a huge ...

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Mental State Detection in Classroom Based on EEG Brain Signals

Mental State Detection in Classroom Based on EEG Brain Signals

... human brain waves in different states non-invasively, and to distinguish them into different levels of mental states in order to provide immediate mental state feedback to a classroom instructor and maximize ...

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Brain Signals and Alcoholism

Brain Signals and Alcoholism

... the brain. Abnormal electricity of the brain may represent many brain disorders, which can be detected by analyzing EEG signal ...these signals directly in the time domain just by observing ...

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Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

... a brain-information interface used for recommending information by relevance inferred directly from brain ...the brain signals evoked by reading. The introduced brain-relevance paradigm ...

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Towards predicting a realisation of an information need based on brain signals

Towards predicting a realisation of an information need based on brain signals

... toring brain activity can lead to accurate predictions of a realisation of IN ...their brain activity was being monitored using functional Magnetic Resonance Imaging (fMRI) ...collective brain ...

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BRAIN SIGNALS EXTRACTION FOR THE CONTROL OF A PROSTHETIC HAND

BRAIN SIGNALS EXTRACTION FOR THE CONTROL OF A PROSTHETIC HAND

... between brain and computer provides the possibility of transmitting information in form of electrical ...the brain using non-invasive electrodes (non Invasive BCI) or on the surface of the brain ...

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Classification of SSVEP Based Brain Signals using Discrete Wavelet Transform

Classification of SSVEP Based Brain Signals using Discrete Wavelet Transform

... A Brain Computer Interface (BCI) is an alternative communication pathway, bypassing the normal cortical-muscular ...human brain and external device. A BCI translates brain signals of a BCI ...

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On Similarities and Differences of Invasive and Non Invasive Electrical Brain Signals in Brain Computer Interfacing

On Similarities and Differences of Invasive and Non Invasive Electrical Brain Signals in Brain Computer Interfacing

... electrical brain signals, we repeatedly perceived a controversy on the origin, or the underlying source of those ...BCI signals are different, they rely on the same underlying ...electrical ...

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State-space modeling and estimation for multivariate brain signals

State-space modeling and estimation for multivariate brain signals

... of brain signals was further demonstared in recent studies on brain connectivity analysis which has discovered the functional connectivity patterns changing over time, especially for task-related ...

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Analysing EEG brain signals using independent component analysis techniques

Analysing EEG brain signals using independent component analysis techniques

... human brain, and for medical diagnosis and treatment as well, especially for developing automated patient monitoring and computer-aided ...on brain activity from measured electrical signals, called ...

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Analysing EEG brain signals using independent component analysis techniques

Analysing EEG brain signals using independent component analysis techniques

... The use of electroencephalography (EEG) in the medical field is evident in the effect it has on diagnosis and treatment of patients who suffer from some form of brain problem. These signals however once ...

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EEG based Brain-Computer Interface for Controlling Home Appliances

EEG based Brain-Computer Interface for Controlling Home Appliances

... (EEG) signals, so they become independent in their daily life. The BCI (Brain- Computer Interface) is considered as a recent and a unique transmission medium between the human brain and a ...

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Denoising of EEG Signals for Analysis of Brain Disorders: A Review

Denoising of EEG Signals for Analysis of Brain Disorders: A Review

... the brain signals which could lead to misdiagnosis of brain ...EEG signals is to remove the artifacts while enhancing the brain ...EEG signals contain neural information below ...

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Emotion walking for humanoid avatars using brain signals

Emotion walking for humanoid avatars using brain signals

... is one of the famous techniques used in facial animation. Further, this technique is enhanced by facial rigging to provide the user with easy interaction control. This study uses blend shape interpolation of the facial ...

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An EEG Based Vehicle Driving Safety System Using
Automotive CAN Protocol

An EEG Based Vehicle Driving Safety System Using Automotive CAN Protocol

... human brain using EEG (Electroencephalography) based on BCI (Brain Computer ...Human brain consists of millions of interconnected ...electric brain signal will ...electrode brain wave ...

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IOT HELP FOR INDEPENDENT LIVING ELDERS

IOT HELP FOR INDEPENDENT LIVING ELDERS

... and Brain computer interface that is EEG so that an effective system can be ...the brain signals reach the unconsciousness threshold then the help is contacted immediately or if a fall is detected ...

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Electroencephalographic Signals for Recognizing Speaking Effort –Brain Computer Interface

Electroencephalographic Signals for Recognizing Speaking Effort –Brain Computer Interface

... (EEG) signals for recognizing unspoken speech (trying to speak but not converted into speech ...Significant brain activations may be observed in Functional Magnetic Response Imaging (fMRI Images) & EEG ...

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Information Retrieval from Neurophysiological Signals

Information Retrieval from Neurophysiological Signals

... Our examination of the related literature reveals that reconstructing the experiences of the users are recently capturing attention across many com- munities and will be a hot topic with the continuous advances in signal ...

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Intelligent System for Neurological Disorder by EEG Signal Analysis Using Artificial Neural Network

Intelligent System for Neurological Disorder by EEG Signal Analysis Using Artificial Neural Network

... human brain produces electrical signals, which prove vital in understanding the degree of abnormality that may, in many cases, result in a person behaving ...these signals is recorded via an EEG ...

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Support vector machine to classify 
		features of motion imaginary EEG

Support vector machine to classify features of motion imaginary EEG

... With the extracted features of the brain signals, the 80% of these features were used to train 11 support vector machines, one for each selected channel. Taking into account that the imaginary movement to ...

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