Results 251 to 260 of about 651,869 (297)

A Music Playback System based on Multi-mode Hybrid Brain-computer Interface

2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), 2020
This 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 ...
Zhou Tianyue, Yang Yuna, Li Mingliang, Gao Nuo   +3 more
openaire   +1 more source

Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain–Computer Interfaces

IEEE Journal of Biomedical and Health Informatics, 2018
A 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, Hai-Xian Wang, Wen-Ming Zheng, Yan-Hua Shi, Rui-Min Wang, Pan Lin, Jun-Feng Gao, Gao-Peng Sun, Keiji Iramina, Yuan-Kui Yang, Yue Leng   +10 more
openaire   +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
openaire   +1 more source

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
openaire   +1 more source

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, Chun Zhang, Dongmei Li
openaire   +1 more source

Study on the Interactive Mode of Eye Control Mode in Human–Computer Interface

2019
The ergonomic experiment of human-computer interaction mode of eye movement control is carried out for efficient and precise interaction requirements of the human-machine interface. Based on eye movement behavior, operational performance and subjective feeling data, the advantages and disadvantages of eye movement control behaviors such as eye gaze and
Yingwei Zhou, Ning Li, Bei Zhang, Tuoyang Zhou, Kaili Yin, Jinshou Shi   +5 more
openaire   +1 more source

Investigation of voice and text output modes with abstraction in a computer interface

Interacting with Computers, 1996
A human-computer interface is described, which was designed to study user preferences and the effectiveness of output modes and levels of information abstraction in a decision making environment. The interface was tested in an exploratory study of an apartment selection problem.
N.P. Archer, M.M. Head, J.P. Wollersheim, Y. Yuan   +3 more
openaire   +1 more source

A Low Computational Cost Visual Tracking Algorithm Designed for a Multiple Mode Brain-Machine-Interface

2020 4th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 2020
Intelligent tracking of the behavior information of animal subject is important in multiple mode brain-machine-interface implementation in neuroscience research. This work proposes a low latency, low computation complexity image-based tracking system with a wireless neural interface.
Xuecheng Wang, Milin Zhang, Liangrui Peng, Andrew G. Richardson, Timothy H. Lucas, Jan Van der Spiegel   +5 more
openaire   +1 more source

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.
M.J. Rosen, C. Goodenough-Trepagnier
openaire   +1 more source

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
openaire   +2 more sources