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65‐3: Multi‐Mode Fusion Human‐Computer Interface Based on EEG and EOG
SID Symposium Digest of Technical PapersThis paper presents a multi‐mode fusion human‐computer interface integrating Electroencephalogram (EEG) and Electrooculogram (EOG) signals to enhance interaction speed and accuracy. Traditional Steady‐State Visual Evoked Potential (SSVEP)‐based Brain‐Computer Interface (BCI) systems suffer from low refresh rates in liquid crystal displays (LCDs ...
Tong Zou, Minghao Xu, Xiong Zhang
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2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013 This paper presents a novel method, based on multi-channel Empirical Mode Decomposition (EMD), of classifying the electroencephalogram (EEG) recordings of imagined movement by a subject within a brain-computer interfacing (BCI) framework. EMD is a technique that divides any non-linear or non-stationary signal into groups of frequency harmonics, called ...
Simon Davies, Christopher J. James
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2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2022 Chenxi Chu +4 more
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Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2015 This paper presents a feature extraction method based on multivariate empirical mode decomposition (MEMD) combining with the power spectrum feature, and the method aims at the non-stationary electroencephalogram (EEG) or magnetoencephalogram (MEG) signal in brain-computer interface (BCI) system.
Jinjia Wang, Yuan Liu
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Biomedizinische Technik/Biomedical Engineering, 2006 Gernot Müller-Putz +3 more
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Comparative Analysis of Wearable A-Mode Ultrasound and sEMG for Muscle-Computer Interface
IEEE Transactions on Biomedical Engineering, 2020While surface electromyography (sEMG) is still dominant in the field of muscle-computer interface, ultrasound (US) sensing has been regarded as a promising alternative to sEMG, owing to its ability to precisely monitor muscle deformations. Among different US modalities, A-mode US is more compact and cost-effective for wearable applications against its ...
Xingchen Yang, Jipeng Yan, Honghai Liu
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Efficient Mode Based Computational Approach for Jointed Structures: Joint Interface Modes
AIAA Journal, 2009The mechanical response of complex elastic structures that are assembled of substructures is significantly influenced by joints such as bolted joints, spot-welded seams, adhesive-glued joints, and others. In this respect, computational techniques, which are based on the direct finite element method or on classical modal reduction procedures ...
Wolfgang Witteveen, Hans Irschik
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Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain–Computer Interfaces
IEEE Journal of Biomedical and Health Informatics, 2018A brain-computer interface (BCI) is a communication approach that permits cerebral activity to control computers or external devices. Brain electrical activity recorded with electroencephalography (EEG) is most commonly used for BCI. Noise-assisted multivariate empirical mode decomposition (NA-MEMD) is a data-driven time-frequency analysis method that ...
Sheng Ge +10 more
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Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity
, 2019 Blashki, Kathy 1961-, Isaías, Pedro
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