Results 251 to 260 of about 645,094 (319)

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

open access: closed2020 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 ...
Tianyue Zhou   +3 more
openalex   +2 more sources

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

open access: closed, 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   +5 more
openalex   +2 more sources

Instantaneous Gaze-Target Detection by Empirical Mode Decomposition: Application to Brain Computer Interface

open access: closed, 2009
This paper presents an Empirical mode decomposition (EMD) approach for achieving high-speed frequency-tagged steady state visual evoked potential (SSVEP) brain computer interface (BCI) system. Empirical mode decomposition (EMD) has been demonstrated as a local and fully data-driven technique for the data processing of nonlinear and non-stationary time ...
Chi-Hsun Wu   +2 more
openalex   +2 more sources

Idle Mode Detection for Somatosensory-Based Brain-Computer Interface

open access: closed, 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   +4 more
openalex   +2 more sources

Empirical mode decomposition of EEG signals for brain computer interface

open access: closedSoutheastCon 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

open access: closedExtended 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

open access: closed10th 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   +7 more
openalex   +2 more sources

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

open access: closedProceedings 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   +1 more
openalex   +2 more sources

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