Skip to content
Surf Wiki
Save to docs
general/user-interfaces

From Surf Wiki (app.surf) — the open knowledge base

Dasher (software)

Computer accessibility software


Computer accessibility software

FieldValue
nameDasher
logo[[Image:Dasher logo.svg48px]]
screenshotDasher.png
captionDasher running under Linux
developerThe Dasher Project
released
latest release version4.11
latest release date
latest preview version5.0 beta
latest preview date
programming languageJava, C and [C++](c)
operating systemCross-platform
language count
genreComputer accessibility
licenseGPL
website

Dasher is an input method and computer accessibility tool which enables users to compose text without using a keyboard, by entering text on a screen with a pointing device such as a mouse, touch screen, or mice operated by the foot or head. Such instruments could serve as prosthetic devices for disabled people who cannot use standard keyboards, or where the use of one is impractical.

Dasher is free and open-source software, subject to the requirements of the GNU General Public License (GPL), version 2. Dasher is available for operating systems with GTK+ support, i.e. Linux, BSDs and other Unix-like including macOS, Windows, Pocket PC, iOS and Android.

Dasher was invented by David J. C. MacKay and developed by David Ward and other members of MacKay's Cambridge research group. The Dasher project is supported by the Gatsby Charitable Foundation and by the EU aegis-project.

Dasher's code is currently maintained by the ACE Centre, and is being relicensed to the MIT License.

Design

For whatever the writer intends to write, they select a letter from ones displayed on a screen by using a pointer, whereupon the system uses a probabilistic predictive model to anticipate the likely character combinations for the next piece of text, and accord these higher priority by displaying them more prominently than less likely letter combinations. This saves the user effort and time as they proceed to choose the next letter from those offered. The process of composing text in this way has been likened to an arcade game, as users zoom through characters that fly across the screen and select them in order to compose text. The system learns from experience which letter combinations are the most popular, and changes its display protocol over time to reflect this.

Features

The Dasher package contains various architecture-independent data files:

  • alphabet descriptions for over 150 languages
  • letter colours settings
  • training files in all supported languages

References

References

  1. "Releases · dasher-project/Dasher".
  2. (2006). "DASHER—An Efficient Writing System for Brain–Computer Interfaces?". IEEE Transactions on Neural Systems and Rehabilitation Engineering.
  3. David J. C. MacKay. (6 October 2003). "Information theory, inference, and learning algorithms". Cambridge University Press.
  4. Inference Group (University of Cambridge): [http://www.inference.phy.cam.ac.uk/dasher/MobileDasher.html Mobile Dasher]. Accessed 2013-01-17.
  5. [https://web.archive.org/web/20100729145114/http://itunes.apple.com/us/app/dasher/id315473092?mt=8 Dasher for iOS] on iTunes. Accessed 2013-01-17.
  6. [https://play.google.com/store/apps/details?id=dasher.android Dasher for Android] on [[Google Play]]. Accessed 2014-06-04.
  7. "aegis-project".
  8. https://github.com/dasher-project
  9. "Index of /Dasher/Download/Alphabets".
Info: Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

Want to explore this topic further?

Ask Mako anything about Dasher (software) — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report