Wearable and Wireless Brain-Computer Interface and Its Applications

  title={Wearable and Wireless Brain-Computer Interface and Its Applications},
  author={Chin-Teng Lin and Li-Wei Ko and Che-Jui Chang and Yu-Te Wang and Chia-Hsin Chung and Fu-Shu Yang and Jeng-Ren Duann and Tzyy-Ping Jung and J. C. Chiou},
This study extends our previous work on mobile & wireless EEG acquisition to a truly wearable and wireless human-machine interface, NCTU Brain-Computer-Interface-headband (BCI-headband), featuring: (1) dry Micro-Electro-Mechanical System (MEMS) EEG electrodes with 400 ganged contacts for acquiring signals from non-hairy sites without use of gel or skin preparation; (2) a miniature data acquisition circuitry; (3) wireless telemetry; and (4) online signal processing on a commercially available… 

Implementation of portable multi-channel EEG and head motion signal acquisition system

Indoor and outdoor tests on the device proved the validity of the portable multi-channel EEG signal acquisition system and the system has a Bluetooth interworking capability to provide a wireless connection to portable devices such as smart phones.

Brain-computer interface for mobile devices

Experiments results show that a man equipped with a personal EEG sensor and eye blinking detector can remotely touchless use mobile applications installed on smartphones or tablets.

NeuroPhone: brain-mobile phone interface using a wireless EEG headset

The NeuroPhone system is presented, which allows neural signals to drive mobile phone applications on the iPhone using cheap off-the-shelf wireless electroencephalography (EEG) headsets and a brain-controlled address book dialing app, which works on similar principles to P300-speller brain-computer interfaces.

Biosensor Technologies for Augmented Brain–Computer Interfaces in the Next Decades

It is shown that ABCI techniques continue to grow and evolve, incorporating new technologies and advances to address ever more complex and important neuroscience issues, with advancements that are envisioned to lead to a wide range of real-life applications.

Brain-Computer Interface Signal Processing Algorithms: A Computational Cost vs. Accuracy Analysis for Wearable Computers

A computational profiling on signal processing tasks for a typical BCI system is performed and adaptive algorithms that will adjust the computational complexity of the signal processing based on the amount of energy available are investigated, while guaranteeing that the accuracy is minimally compromised.

Development of a Smart Helmet for Strategical BCI Applications

The smart helmet is capable of assisting the soldiers to execute instructions with SSVEP-based BCI when their hands are not available and is a reliable piece of equipment for strategical applications.

A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction

A novel Field Programmable Gate Array (FPGA) -based system for real-time movement prediction using physiological data that achieves a classification accuracy similar to systems with double precision floating-point precision.

CereBridge: An Efficient, FPGA-based Real-Time Processing Platform for True Mobile Brain-Computer Interfaces*

A novel, entirely mobile FPGA-based platform for BCIs that is capable of acquiring and fully processing of up to 32 EEG channels with 24 bit precision each and a sampling rate of 250-16k samples per second with a total weight less than 60 g.

Non-Invasive EEG Based Wireless BrainComputer Interface for Safety ApplicationsUsing Embedded Systems

The main objective of this project is to develop a real-time, nonintrusive, and accurate drowsiness detection based on physiological signal detection technique.

Evaluating the ergonomics of BCI devices for research and experimentation

This study assesses usability and experimentation factors of two commercial BCI models, for the purpose of creating basic guidelines for increased usability, and finds that more sensors can be less comfortable and accurate than devices with fewer sensors.



Noninvasive Neural Prostheses Using Mobile and Wireless EEG

A noninvasive mobile prosthetic platform for continuously monitoring high-temporal resolution brain dynamics without requiring application of conductive gels on the scalp is proposed and its implications for neural prostheses are examined.

Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning

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.

Using novel MEMS EEG sensors in detecting drowsiness application

  • J. ChiouL. Ko J. Jeng
  • Engineering
    2006 IEEE Biomedical Circuits and Systems Conference
  • 2006
Electroencephalographic (EEG) analysis has been widely adopted for the monitoring of cognitive state changes and sleep stages because abundant information in EEG recording reflects changes in

Linking brain, mind and behavior.

Functional Neuromuscular Stimulation of the Respiratory Muscles for Patients With Spinal Cord Injury

Three types of techniques for respiratory muscle stimulation are covered: functional electric stimulation, functional magnetic stimulation, and semiconductor-based microstimulator stimulation.

Estimating Driving Performance Based on EEG Spectrum Analysis

An EEG-based drowsiness estimation system that combines electroencephalogram (EEG) log subband power spectrum, correlation analysis, principal component analysis, and linear regression models to indirectly estimate driver's drowsness level in a virtual-reality-based driving simulator is proposed.

Linking brain, mind and behavior: The promise of mobile brain/body imaging

  • International Journal of Psychophysiology

Noninvasive neural prostheses using mobile & wireless EEG. Proceedings of the IEEE

  • Noninvasive neural prostheses using mobile & wireless EEG. Proceedings of the IEEE
  • 2008