18 results with keyword: 'an ssvep brain computer interface machine learning approach'
If different stimuli per- form differently at evoking SSVEP, among square wave, triangle wave and sine wave light signals, which one has the highest success rate of eliciting
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Analogue mouse pointer control via an online steady state visual evoked potential (SSVEP) brain-computer interface.. John J Wilson and Ramaswamy Palaniappan Brain-Computer
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Several contributions were done in this thesis, such as: improvement of the feature extractor called Multivariate Synchronization Index (MSI) for detect- ing evoked
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An approach proposed by (Khachab et al., 2007) consists of using a brain imaging algorithm to deduce the electrical activity on a grid defined on the cortical surface..
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That is a reaction that can be observed after a subject was "intently looking" at a stimulus flashing with given frequency.. Said frequency is then one of the characteristics
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To find out if this is a fault of the maching learning process, or the accuracy of the Emotiv EPOC+, a super model was trained by combining both data sets shown in Figure 36,
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The results of various kinds concerning h-spiral functions.. of order in the unit disk U are given in
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A novel algorithm, relying on the curve direction in the space of covariance EEG signals, was introduced and applied on a SSVEP classification task for a 4-class brain
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MATLAB is a single-threaded programming language that can only execute one command at a time. In order to ensure that each of the control patterns was flipped at the proper rate,
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(B) Structure of seven-vote mechanism.. Figure 4B shows the structure of the seven-vote mechanism. The structure follows the same rules as the six-vote mechanism; the
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Abstract: This paper presents the development of a real-time brain computer interface BCI system based on the detection of steady-state visual evoked potential SSVEP.. The
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Awards project grants under "Securing Our Children's Future Fund" for water infrastructure projects in certain school districts; appropriates $6,608,212. Cunningham,
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A Brain-Computer Interface sometimes called a direct neural interface or a brain-machine interface (BMI) accepts commands directly from the human or animal
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Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items..
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In order to be considered as a Participating Practitioner, Practitioner must establish compliance with the following qualification requirements and responsibilities, as required
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International Journal of Scientific Research in Computer Science, Engineering and Information Technology CSEIT1836121 | Received 20 Dec 2018| Accepted 30 Dec 2018 | November December
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Abstract— This paper presents a Steady State Visual Evoked Potential (SSVEP) based Brain Computer Interface (BCI) system to control a wheelchair in forward, backward,
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The objective of the present study was to assess pro- spectively the incidence of chronic and neuropathic pain in patients undergoing anteroaxillary thoracotomy with
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