Results 221 to 230 of about 70,460 (284)

Idle Mode Detection for Somatosensory-Based Brain-Computer Interface

, 2015
Objective. Idle mode detection is a vital problem to be solved in self-paced asynchronized BCI, because patients need to control the BCI system whenever he or she wants, rather than output commands according to the system cues which is essentially different between self-paced and synchronized BCIs.
Xiaokang Shu, Lin Yao, Xinjun Sheng, Dingguo Zhang, Xiangyang Zhu   +4 more
openalex   +2 more sources

Empirical mode decomposition of EEG signals for brain computer interface

SoutheastCon 2017, 2017
Motor imagery (MI) based brain-computer interface (BCI) systems show potential applications in neural rehabilitation. In MI-BCI systems, the brain signals from movement imagination, without actual movement of limbs, can be acquired, processed and characterized to translate into actionable signals that can be used to activate external devices.
MD Erfanul Alam, Biswanath Samanta
openalex   +2 more sources

The challenge of analog mix-mode integrated circuit design for brain computer interface

Extended Abstracts of the 2003 International Conference on Solid State Devices and Materials, 2003
The requirement of IC for the brain computer interface (BCI) is discussed. An analog-digital mixmode IC used for cochlear implant is designed using CMOS process. Index Terms — low power IC, brain computer interface, brain machine interface.
Zhihua Wang, Chunwei Zhang, Dongmei Li
openalex   +2 more sources

Minimalistic User Interface Design and Dark Mode Usage in Human-Computer Interaction

10th International Scientific Conference Technics, Informatic, and Education
When 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, Dijana Stojić, Dejan Vujičić, Marina Milošević   +3 more
openalex   +2 more sources

Cognitive Constraint Rules In Design Of Multi-mode Computer Interfaces For Disabled Users

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 2005
The authors present a scheme for custom design of computer interfaces for users with disabilities. Optimization is based on calculation of a benchmark score which estimates the rate at which the individual will be able to use particular application software.
Michael Rosen, Cheryl Goodenough-Trepagnier   +1 more
openalex   +2 more sources

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

Journal of Neuroscience Methods, 2010
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, Hsiang‐Chih Chang, Po‐Lei Lee, Kuen-Shing Li, Jyun-Jie Sie, Chia-Wei Sun, Chia-Yen Yang, Po-Hung Li, Hua-Ting Deng, Kuo‐Kai Shyu   +9 more
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Quantifying mode mixing and leakage in multivariate empirical mode decomposition and application in motor imagery–based brain-computer interface system

Medical & Biological Engineering & Computing, 2019
Improper selection of the number and the amplitude of noise channels in noise-assisted multivariate empirical mode decomposition (NA-MEMD) would induce mode mixing and leakage in the obtained intrinsic mode functions (IMF), which would degrade the performance in applications like brain-computer interface (BCI) systems based on motor imagery.
Yang Zheng, Guanghua Xu
openalex   +3 more sources

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 ...
Minyou Chen
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Brain computer interface (BCI) with EEG signals for automatic vowel recognition based on articulation mode

5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 2014
One of the most promising methods to assist amputated or paralyzed patients in the control of prosthetic devices is the use of a brain computer interface (BCI). The use of a BCI allows the communication between the brain and the prosthetic device through signal processing protocols. However, due to the noisy nature of the brain signal, available signal
Luis Carlos Sarmiento, Pablo Lorenzana, Carlos Julio Cortés, W. J. Arcos, J. A. Bacca, Andrés Tovar   +5 more
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Assessing Mode-Switching Strategies for Assistive Robotic Manipulators Using a Preliminary Version of the Novel Non-invasive Tongue-Computer Interface

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, Mostafa Mohammadi, Rasmus Leck Kæseler, Mads Jochumsen, Lotte N. S. Andreasen Struijk   +4 more
openalex   +3 more sources