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2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023 The inductive tongue-computer interface allows individuals with tetraplegia to control assistive devices. However, controlling assistive robotic arms often requires more than 14 different commands, which cannot always fit into a single control layout.
Ana S. Santos Cardoso +4 more
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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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Minimalistic User Interface Design and Dark Mode Usage in Human-Computer Interaction
10th International Scientific Conference Technics, Informatic, and EducationWhen it comes to minimalist design and dark mode, these are two very current topics in today’s design, development, and implementation of web and mobile applications. Often heard is the phrase „Less is more,“ which will be explained in detail through this paper, both from a theoretical perspective and with practical examples.
Đorđe Damnjanović +3 more
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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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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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POD based computation of Joint Interface Modes [PDF]
, 2011 Recently proposed joint interface modes (JIM), which have been presented at the IMAC 25th, do consider Newton’s 3rd law across a joint already at the stage of mode generation which leads to significant improvements in the subsequent mode based computation where nonlinear contact forces are applied.
Wolfgang Witteveen, Karim Sherif
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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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2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2022 Chenxi Chu +4 more
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A Music Playback System based on Multi-mode Hybrid Brain-computer Interface
2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), 2020This paper aims at the problem of designing a music playback system based on multi-mode hybrid Brain-Computer Interface (hBCI), which provides a way of the entertainment for stroke patients to improve the mental living standard. The asynchronous mode by using Alpha waves is applied to the procedure of the music playback system design, which allows ...
Gao Nuo +3 more
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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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