Discriminative methods for classification of asynchronous imaginary motor tasks from EEG data [PDF]
, 2013 In this work, two methods based on statistical models that take into account the temporal changes in the electroencephalographic (EEG) signal are proposed for asynchronous brain-computer interfaces (BCI) based on imaginary motor tasks. Unlike the current
Çetin, Müjdat +2 more
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Potential use of electrical somatosensory modality for BCI [PDF]
, 2016 INTRODUCTION: P300 is commonly used in noninvasive brain computer interface (BCI). Most P300 based BCIs were focus on visual and auditory stimulation [1]. Several previous reports present the potential use of vibrotactile stimulus for P300 BCI [2,3].
An, X, Ming, D, Hu, Y, LI, J, Pu, J
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A comparative study of impervious surface extraction using Sentinel-2 imagery
European Journal of Remote Sensing, 2020 The accuracy and efficiency of impervious surface extraction using different algorithms vary greatly, and algorithm applicability depends on the study area.
Junyi Chen +5 more
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A Survey in Implementation and Applications of Electroencephalograph (EEG)-Based Brain-Computer Interface [PDF]
Engineering and Technology Journal, 2021 A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves
Samaa Abdulwahab +2 more
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IEEE AccessThis paper introduces a novel application of functional neural networks (FNNs) in the domain of electroencephalography-based (EEG-based) brain-computer interfaces (BCIs), targeting self-paced motor execution (ME) and motor imagery (MI).
Mavin Heim +7 more
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Experimental Investigation of Displacer Seal Geometry Effects in Stirling Cycle Machines
Energies, 2019 This contribution deals with an experimental investigation of the optimization potential of Stirling engines and similar regenerative machines by an enhanced design of the cylinder liner and the seal.
Jan Sauer, Hans-Detlev Kühl
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Novel dry electrode EEG headbands for home use: Comparing performance and comfort
Current Directions in Biomedical Engineering, 2020 Monitoring brain activity at home using electroencephalography (EEG) is an increasing trend for both medical and non-medical applications. Gel-based electrodes are not suitable due to the gel application requiring extensive preparation and cleaning ...
Haueisen Jens +4 more
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On the stimulus duty cycle in steady state visual evoked potential [PDF]
, 2014 Brain-computer interfaces (BCI) are useful devices that allow direct control of external devices using thoughts, i.e. brain's electrical activity. There are several BCI paradigms, of which steady state visual evoked potential (SSVEP) is the most commonly
Wilson, John J., Palaniappan, Ramaswamy
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Multiresolution analysis over simple graphs for brain computer interfaces [PDF]
, 2013 Objective. Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications.
Palaniappan, R +4 more
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Full-Field Imaging for Evaluating Mode-II Fracture Toughness in CFRP Laminates
ProceedingsTo replicate delaminations at the coupon and substructural scales, simulated defects are often introduced into test specimens; therefore, understanding their behaviour within the laminate is essential.
Riccardo Cappello +4 more
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