BRAIN-COMPUTER INTERFACE: COMPARISON OF TWO CONTROL MODES TO DRIVE A VIRTUAL ROBOT [PDF]
, 2015 A Brain-Computer Interface (BCI) is a system that enables communication and control that is not based on muscular movements, but on brain activity. Some of these systems are based on discrimination of different mental tasks; usually they match the number
Ricardo Ron-Angevín +4 more
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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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Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses [PDF]
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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An Exploration of Effects of Dark Mode on University Students: A Human Computer Interface Analysis [PDF]
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Biplov Paneru
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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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A model for the control mode man-computer interface dialogue [PDF]
, 1981 A four stage model is presented for the control mode man-computer interface dialogue. It consists of context development, semantic development syntactic development, and command execution.
Roy L. Chafin
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An Automatic Subject Specific Intrinsic Mode Function Selection for Enhancing Two-Class EEG-Based Motor Imagery-Brain Computer Interface [PDF]
IEEE Sensors Journal, 2019 The electroencephalogram (EEG) signals tend to have poor time-frequency localization when analysis techniques involve a fixed set of basis functions such as in short-time Fourier transform and wavelet transform. These signals also exhibit highly non-stationary characteristics and suffer from low signal-to-noise ratio (SNR).
Pramod Gaur +3 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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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, Cédric Colas, Aldo Faisal
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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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