Results 171 to 180 of about 648,377 (206)
Some of the next articles are maybe not open access.

Comparison of Three Computer Scanning Modes as an Interface Method for Persons With Cerebral Palsy

The American Journal of Occupational Therapy, 1992
Abstract Occupational therapists are becoming increasingly involved with interface assessments. This involvement is improving the ability of persons with physical disabilities to interact with computers, augmentative communication aids, and other devices. The ability to use these devices facilitates participation in activities that would
openaire   +2 more sources

65‐3: Multi‐Mode Fusion Human‐Computer Interface Based on EEG and EOG

SID Symposium Digest of Technical Papers
This 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
openaire   +1 more source

Batch Mode Active Learning Algorithm Combining with Self-training for Multiclass Brain-computer Interfaces

Journal of Information and Computational Science, 2015
In this paper, an batch mode active learning algorithm combining with the beneflts of self-training for solving the multiclass Brain-computer Interface (BCI) problem, which initially only needs a small set of labeled samples to train classiflers. The algorithm applied active learning to select the most informative samples and self-training to select ...
openaire   +1 more source

Computation of Energy Release Rate and Mode Separation in Delaminated Composite Plates by Using Plate and Interface Variables

Mechanics of Advanced Materials and Structures, 2005
Abstract A model for analyzing mixed-mode delamination problems in laminated composite plates under general loading conditions is studied. The first-order shear deformable laminated plate theory and the interface methodology, which in turn is based on fracture mechanics, are adopted.
BRUNO, Domenico   +2 more
openaire   +1 more source

Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing

Journal of Neuroscience Methods, 2011
This paper presents an empirical mode decomposition (EMD) and refined generalized zero crossing (rGZC) approach to achieve frequency recognition in steady-stated visual evoked potential (SSVEP)-based brain computer interfaces (BCIs). Six light emitting diode (LED) flickers with high flickering rates (30, 31, 32, 33, 34, and 35 Hz) functioned as visual ...
Chi-Hsun, Wu   +9 more
openaire   +2 more sources

Novel use of Empirical Mode Decomposition in single-trial classification of motor imagery for use in brain-computer interfaces

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 R H, Davies, Christopher J, James
openaire   +2 more sources

Design and Research on Human-Computer Interactive Interface of Navigation Robot in the IOT Mode

2018
The display design methods in the background of media convergence is improving gradually, and the navigation robot is applied to the public environment as a new kind of display assistant method, which can better meet visitors’ needs and enhance their emotional experience to the exhibition.
Ye Zhang, Bingmei Bie, Rongrong Fu
openaire   +1 more source

[A Feature Extraction Method for Brain Computer Interface Based on Multivariate Empirical Mode Decomposition].

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
openaire   +1 more source

Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation.

Biomedizinische Technik. Biomedical engineering, 2006
Transferring a brain-computer interface (BCI) from the laboratory environment into real world applications is directly related to the problem of identifying user intentions from brain signals without any additional information in real time. From the perspective of signal processing, the BCI has to have an uncued or asynchronous design.
Gernot R, Müller-Putz   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy