Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain–computer interface applications [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2016 An extension to multivariate empirical mode decomposition (MEMD), termed adaptive-projection intrinsically transformed MEMD (APIT-MEMD), is proposed to cater for power imbalances and inter-channel correlations in real-world multichannel data. It is shown that the APIT-MEMD exhibits similar or better performance than MEMD for a large number of ...
Apit Hemakom +3 more
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A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain–computer interface [PDF]
Journal of Neural Engineering, 2017 Accurate and efficient detection of steady-state visual evoked potentials (SSVEP) in electroencephalogram (EEG) is essential for the related brain-computer interface (BCI) applications.Although the canonical correlation analysis (CCA) has been applied extensively and successfully to SSVEP recognition, the spontaneous EEG activities and artifacts that ...
Yi-Feng Chen +3 more
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An Exploration of Effects of Dark Mode on University Students: A Human Computer Interface Analysis [PDF]
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Awan Shrestha +6 more
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A Dual-Mode Human Computer Interface Combining Speech and Tongue Motion for People with Severe Disabilities [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013 We are presenting a new wireless and wearable human computer interface called the dual-mode Tongue Drive System (dTDS), which is designed to allow people with severe disabilities to use computers more effectively with increased speed, flexibility, usability, and independence through their tongue motion and speech.
Xueliang Huo +3 more
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Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses
SensorsIn brain–computer interface (BCI) systems, steady-state visual-evoked potentials (SSVEP) and P300 responses have achieved widespread implementation owing to their superior information transfer rates (ITR) and minimal training requirements. These neurophysiological signals have exhibited robust efficacy and versatility in external device control ...
Ekgari Kasawala, Surej Mouli
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A Batch-mode Active Learning Method Based on the Nearest Average-class Distance (NACD) for Multiclass Brain-Computer Interfaces [PDF]
Journal of Fiber Bioengineering and Informatics, 2014 In this paper, a novel batch-mode active learning method based on the nearest average-class distance (ALNACD) is proposed to solve multi-class problems with Linear Discriminate Analysis (LDA) classiflers. Using the Nearest Average-class Distance (NACD) query function, the ALNACD algorithm selects a batch of most uncertain samples from unlabeled data to
Xuemin Tan
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2015 International Joint Conference on Neural Networks (IJCNN), 2015 In this paper, we present a new filtering method based on the empirical mode decomposition (EMD) for classification of motor imagery (MI) electroencephalogram (EEG) signals for enhancing brain-computer interface (BCI). The EMD method decomposes EEG signals into a set of intrinsic mode functions (IMFs).
Pramod Gaur +3 more
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Convolutional neural network, personalised, closed-loop Brain-Computer Interfaces for multi-way control mode switching in real-time [PDF]
, 2018 AbstractExoskeletons and robotic devices are for many motor disabled people the only way to interact with their envi-ronment. Our lab previously developed a gaze guided assistive robotic system for grasping. It is well known that the same natural task can require different interactions described by different dynamical systems that would require ...
Pablo Ortega +2 more
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BRAIN-COMPUTER INTERFACE: COMPARISON OF TWO CONTROL MODES TO DRIVE A VIRTUAL ROBOT
, 2015 Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
Ricardo Ron-Angevín +4 more
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Informatica, 2018 Reikšminiai žodžiai: Speech corpus; Speech annotation; Speech synthesis; Speech recognition; Human-computer ...
Sigita Laurinčiukaitė +4 more
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