Literature DB >> 27222736

Passive wireless tags for tongue controlled assistive technology interfaces.

Osman O Rakibet1, Robert J Horne1, Stephen W Kelly1, John C Batchelor1.   

Abstract

Tongue control with low profile, passive mouth tags is demonstrated as a human-device interface by communicating values of tongue-tag separation over a wireless link. Confusion matrices are provided to demonstrate user accuracy in targeting by tongue position. Accuracy is found to increase dramatically after short training sequences with errors falling close to 1% in magnitude with zero missed targets. The rate at which users are able to learn accurate targeting with high accuracy indicates that this is an intuitive device to operate. The significance of the work is that innovative very unobtrusive, wireless tags can be used to provide intuitive human-computer interfaces based on low cost and disposable mouth mounted technology. With the development of an appropriate reading system, control of assistive devices such as computer mice or wheelchairs could be possible for tetraplegics and others who retain fine motor control capability of their tongues. The tags contain no battery and are intended to fit directly on the hard palate, detecting tongue position in the mouth with no need for tongue piercings.

Entities:  

Keywords:  computer mice; confusion matrices; handicapped aids; human–computer interfaces; human–device interface; identification technology; man-machine systems; medical control systems; passive mouth tags; passive wireless tags; tongue controlled assistive technology interfaces; tongue position; user accuracy; user interfaces; wheelchairs; wireless link

Year:  2016        PMID: 27222736      PMCID: PMC4814855          DOI: 10.1049/htl.2015.0042

Source DB:  PubMed          Journal:  Healthc Technol Lett        ISSN: 2053-3713


  7 in total

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Authors:  D G Evans; R Drew; P Blenkhorn
Journal:  IEEE Trans Rehabil Eng       Date:  2000-03

2.  A new brain-computer interface design using fuzzy ARTMAP.

Authors:  Ramaswamy Palaniappan; Raveendran Paramesran; Shogo Nishida; Naoki Saiwaki
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2002-09       Impact factor: 3.802

3.  Integrated electromyogram and eye-gaze tracking cursor control system for computer users with motor disabilities.

Authors:  Craig A Chin; Armando Barreto; J Gualberto Cremades; Malek Adjouadi
Journal:  J Rehabil Res Dev       Date:  2008

4.  M3S: the local network for electric wheelchairs and rehabilitation equipment.

Authors:  S Linnman
Journal:  IEEE Trans Rehabil Eng       Date:  1996-09

5.  Computer microtechnology for a severely disabled preschool child.

Authors:  J Douglas; B Reeson; M Ryan
Journal:  Child Care Health Dev       Date:  1988 Mar-Apr       Impact factor: 2.508

6.  Assessment of the Tongue-Drive System Using a Computer, a Smartphone, and a Powered-Wheelchair by People With Tetraplegia.

Authors:  Jeonghee Kim; Hangue Park; Joy Bruce; Diane Rowles; Jaimee Holbrook; Beatrice Nardone; Dennis P West; Anne Laumann; Elliot J Roth; Maysam Ghovanloo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-02-26       Impact factor: 3.802

7.  A magneto-inductive sensor based wireless tongue-computer interface.

Authors:  Xueliang Huo; Jia Wang; Maysam Ghovanloo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-10       Impact factor: 3.802

  7 in total

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