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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
André, Jean Marc +4 more
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Brain-Apparatus Communication, 2023 The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms.
Wenwei Luo +3 more
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Frontiers in Neurorobotics, 2023 At present, single-modal brain-computer interface (BCI) still has limitations in practical application, such as low flexibility, poor autonomy, and easy fatigue for subjects. This study developed an asynchronous robotic arm control system based on steady-
Rongxiao Guo +4 more
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Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains. [PDF]
PLoS ONE, 2013 Transcranial focused ultrasound (FUS) is capable of modulating the neural activity of specific brain regions, with a potential role as a non-invasive computer-to-brain interface (CBI).
Seung-Schik Yoo +4 more
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A theoretical and computational investigation of mixed mode creep crack growth along an interface [PDF]
International Journal of Fracture, 2021 Abstract In this paper, we propose a theoretical framework for studying mixed mode (I and II) creep crack growth under steady state creep conditions. In particular, we focus on the problem of creep crack growth along an interface, whose fracture properties are weaker than the bulk material, located either side of the interface.
Elmukashfi, E, Cocks, ACF
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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 ...
Hemakom, A +3 more
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Interaction Design of Educational App Based on Collaborative Filtering Recommendation
Advances in Meteorology, 2022 With the advent of the 5G digital era, cell phones are becoming ubiquitous in all aspects of our lives, and the increasing demand for remote interaction makes the app interaction experience an indispensable part of our lives.
Ying Xu, Tse-Kian Neo, Hin Hew Soon
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Recent Development of Neural Microelectrodes with Dual-Mode Detection
Biosensors, 2022 Neurons communicate through complex chemical and electrophysiological signal patterns to develop a tight information network. A physiological or pathological event cannot be explained by signal communication mode.
Meng Xu +7 more
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Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement
IEEE Access, 2020 In the traditional system of dike monitoring, the acquisition apparatus is usually adopted with lots of built-in multiple data acquisition units. Each sensor is connected to the acquisition unit by wire, leading to the intensive use of wires. As a result,
Xizhong Shen, Ling Li, Yingjun Wang
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Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface
iScience, 2018 A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to imagined speech, then processes and decodes these signals to produce a linguistic output in the form of phonemes, words, or sentences.
Ciaran Cooney +2 more
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