Search Results - (( intelligence based data algorithm ) OR ( intelligence eeg based algorithm ))
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Classification of left/right hand movement from EEG signal by intelligent algorithms
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Classification of EEG Spectrogram Using ANN for IQ Application
Published 2013“…Then, ANN algorithm is employed to classify the EEG spectrogram image in IQ application. …”
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An Empirical Evaluation of Artificial Intelligence Algorithm for Hand Posture Classification
Published 2022“…In this connection, a recent dataset, â��Mocap Hand Postures Data Set,â�� has been opted to employ the different variants of the machine learning algorithm. …”
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EEG Spectrogram Classification Employing ANN for IQ Application
Published 2013“…In this paper, Intelligence Quotient (IQ) is measured using Electroencephalogram (EEG) from the human brain. …”
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Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems
Published 2014“…Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. …”
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Bio-signal identification using simple growing RBF-network (OLACA)
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Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.]
Published 2017“…Pre-existing intelligence quotient data are acquired from 50 samples and their EEG is recorded from the left pre-frontal cortex. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…In future, this research can be an initial work in automating tutorial decisions in an intelligent tutoring system which are able to adapt to the behaviour of the learners based on the detected mental states. …”
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Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems
Published 2014“…Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. …”
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…The proposed approach in this work tends to tackle the multiple EEG channels problem by segmenting the EEG signals in the frequency domain based on changing spikes rather than the traditional time based windowing approach. …”
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The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
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Fuzzy Platform for Embedded Wearable EEG Seizure Detection in Ambulatory State
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Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data
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Discrete wavelet packet transform for electroencephalogram-based emotion recognition in the valence-arousal space
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A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials
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Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
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