NDLI: DASHER-an efficient writing system for brain-computer interfaces?

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Table of contents

IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information

Guest Editorial The Third International Meeting on Brain-Computer Interface Technology: Making a Difference

BCI meeting 2005-workshop on technology: hardware and software

BCI meeting 2005-workshop on clinical issues and applications

BCI meeting 2005-workshop on BCI signal processing: feature extraction and translation

BCI meeting 2005-workshop on signals and recording methods

Geometric subspace methods and time-delay embedding for EEG artifact removal and classification

The Berlin brain-computer interface: EEG-based communication without subject training

The BCI competition III: validating alternative approaches to actual BCI problems

Brain interface research for asynchronous control applications

Towards a robust BCI: error potentials and online learning

Prolonged cognitive planning time, elevated cognitive effort, and relationship to coordination and motor control following stroke

Neural ensemble activity from multiple brain regions predicts kinematic and dynamic variables in a multiple force field reaching task

Cortically coupled computer vision for rapid image search

Local field potential spectral tuning in motor cortex during reaching

Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects

The neurochip BCI: towards a neural prosthesis for upper limb function

EEG and MEG brain-computer interface for tetraplegic patients

Electrocorticography-based brain computer Interface-the seattle experience

Could cortical signals control intraspinal stimulators? A theoretical evaluation

EEG based BCI-towards a better control. Brain-computer interface research at aalborg university

15 years of BCI research at graz university of technology: current projects

Brain-computer interaction research at the computer vision and multimedia laboratory, University of Geneva

Towards human BCI applications based on cognitive brain systems: an investigation of neural signals recorded from the dorsolateral prefrontal cortex

Structural modifications in chronic microwire electrodes for cortical neuroprosthetics: a case study

Brain-computer interface research at the university of south Florida cognitive psychophysiology laboratory: the P300 speller

Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials

The wadsworth BCI research and development program: at home with BCI

A practical VEP-based brain-computer interface

Decoding sensory feedback from firing rates of afferent ensembles recorded in cat dorsal root ganglia in normal locomotion

DASHER-an efficient writing system for brain-computer interfaces?

ECoG factors underlying multimodal control of a brain-computer interface

An enhanced time-frequency-spatial approach for motor imagery classification

3rd International IEEE EMBS Conference on Neural Engineering

Join the IEEE Engineering in Medicine and Biology Society

IEEE Transactions on Neural Systems and Rehabilitation Engineering Information for authors

IEEE Engineering in Medicine and Biology Society Information

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DASHER-an efficient writing system for brain-computer interfaces?

Content Provider	IEEE Xplore Digital Library
Author	Wills, S.A. MacKay, D.J.C.
Copyright Year	2001
Abstract	DASHER is a human-computer interface for entering text using continuous or discrete gestures. Through its use of an internal language model, DASHER efficiently converts bits received from the user into text, and has been shown to be a competitive alternative to existing text-entry methods in situations where an ordinary keyboard cannot be used. We propose that DASHER would be well-matched to the low bit-rate, noisy output obtained from brain-computer interfaces (BCIs), and discuss the issues surrounding the use of DASHER with BCI systems.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	3
File Size	99485
Starting Page	244
Ending Page	246
File Format	PDF
ISSN	15344320
Volume Number	14
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Keyboards Mobile communication Predictive models User interfaces Mobile computing Personal digital assistants Navigation Books Writing Two dimensional displays user interfaces Assistive devices augmentative communication brain–computer interface (BCI) predictive language model speller text entry
Content Type	Text
Resource Type	Article
Subject	Neuroscience Rehabilitation Internal Medicine Biomedical Engineering Computer Science Applications

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