A cell-phone-based brain-computer interface for communication in daily life.

@article{Wang2011ACB,
  title={A cell-phone-based brain-computer interface for communication in daily life.},
  author={Yu-Te Wang and Yijun Wang and T. Jung},
  journal={Journal of neural engineering},
  year={2011},
  volume={8 2},
  pages={
          025018
        }
}
Moving a brain-computer interface (BCI) system from a laboratory demonstration to real-life applications still poses severe challenges to the BCI community. This study aims to integrate a mobile and wireless electroencephalogram (EEG) system and a signal-processing platform based on a cell phone into a truly wearable and wireless online BCI. Its practicality and implications in a routine BCI are demonstrated through the realization and testing of a steady-state visual evoked potential (SSVEP… Expand
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References

SHOWING 1-10 OF 39 REFERENCES
Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces – A Mini-Review
TLDR
This work reviews recent online BCI systems, focusing especially on wearable, wireless and real-time systems that are noninvasive, nonintrusive, lightweight and capable of online signal processing. Expand
Practical Designs of Brain–Computer Interfaces Based on the Modulation of EEG Rhythms
TLDR
Electroencephalogram (EEG) is the main interest due to its advantages of low cost, convenient operation and non-invasiveness, and these systems offer some practical solutions for patients with motor disabilities. Expand
Brain-Computer Interfaces Based on Visual Evoked Potentials
TLDR
The results show that by adequately considering the problems encountered in system design, signal processing, and parameter optimization, SSVEPs can provide the most useful information about brain activities using the least number of electrodes, thus benefiting the implementation of a practical BCI. Expand
Development of a Low-Cost FPGA-Based SSVEP BCI Multimedia Control System
TLDR
Experimental results show that the subjects' SSVEP can successfully control the multimedia device through the proposed BCI system with high identification accuracy, and implementing a prototype of the SSVEp-based BCI multimedia control system verifies the effectiveness of the proposed system. Expand
A user-friendly SSVEP-based brain-computer interface using a time-domain classifier.
TLDR
A novel stimulus-locked inter-trace correlation (SLIC) method for SSVEP classification using EEG time-locked to stimulus onsets is described and how the performance of the algorithm is affected by different selection of parameters is studied. Expand
Design and implementation of a brain-computer interface with high transfer rates
TLDR
A brain-computer interface that can help users to input phone numbers based on the steady-state visual evoked potential (SSVEP), which has noninvasive signal recording, little training required for use, and high information transfer rate. Expand
Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning
TLDR
A novel brain-computer interface system that can acquire and analyze electroencephalogram (EEG) signals in real-time to monitor human physiological as well as cognitive states, and, in turn, provide warning signals to the users when needed is proposed. Expand
Architectures of laboratory-PC and mobile pocket PC brain-computer interfaces
TLDR
A laboratory PC based BCI system allows the flexible design of multiple/single channel feature extraction, classification methods and experimental paradigms and the key advantage of a pocket PC BCI approach is its small dimension and battery supply. Expand
A Human Computer Interface Using SSVEP-Based BCI Technology
TLDR
The proposed HCI using SSVEP-based BCI technology is promising for a substitute of standard computer input device for both health and disabled computer users. Expand
Control of an Electrical Prosthesis With an SSVEP-Based BCI
TLDR
It can be stated that the SSVEP-based BCI, operating in an asynchronous mode, is feasible for the control of neuroprosthetic devices with the flickering lights mounted on its surface. Expand
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