Literature DB >> 22255574

Command detection and classification in tongue drive assistive technology.

Elnaz Banan Sadeghian1, Xueliang Huo, Maysam Ghovanloo.   

Abstract

Tongue Drive System (TDS) is a new assistive technology that enables individuals with severe disabilities such as those with spinal cord injury (SCI) to regain environmental control using their tongue motion. We have developed a new sensor signal processing (SSP) algorithm which uses four 3-axial magneto-resistive sensor outputs to accurately detect and classify between seven different user-control commands in stationary as well as mobile conditions. The new algorithm employs a two-stage classification method with a combination of 9 classifiers to discriminate between 4 commands on the left or right side of the oral cavity (one neutral command shared on both sides). Evaluation of the new SSP algorithm on five able-bodied subjects resulted in true positive rates in the range of 70-99% with corresponding false positive rates in the range of 5-7%, showing a notable improvement in the resulted true-false (TF) differences when compared to the previous algorithm.

Entities:  

Mesh:

Year:  2011        PMID: 22255574      PMCID: PMC3581320          DOI: 10.1109/IEMBS.2011.6091394

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

Review 1.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2002-06       Impact factor: 3.708

2.  Real-world applications for brain-computer interface technology.

Authors:  Melody M Moore
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

3.  A multi-stage automatic arrhythmia recognition and classification system.

Authors:  Yakup Kutlu; Damla Kuntalp
Journal:  Comput Biol Med       Date:  2010-12-22       Impact factor: 4.589

4.  Wireless control of smartphones with tongue motion using tongue drive assistive technology.

Authors:  Jeonghee Kim; Xueliang Huo; Maysam Ghovanloo
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

5.  Self-paced operation of an SSVEP-Based orthosis with and without an imagery-based "brain switch:" a feasibility study towards a hybrid BCI.

Authors:  Gert Pfurtscheller; Teodoro Solis-Escalante; Rupert Ortner; Patricia Linortner; Gernot R Müller-Putz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-02-08       Impact factor: 3.802

Review 6.  Current trends in hardware and software for brain-computer interfaces (BCIs).

Authors:  P Brunner; L Bianchi; C Guger; F Cincotti; G Schalk
Journal:  J Neural Eng       Date:  2011-03-24       Impact factor: 5.379

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

8.  Comparison of computer interface devices for persons with severe physical disabilities.

Authors:  C Lau; S O'Leary
Journal:  Am J Occup Ther       Date:  1993-11

9.  Using unconstrained tongue motion as an alternative control mechanism for wheeled mobility.

Authors:  Xueliang Huo; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-07       Impact factor: 4.538

10.  Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.

Authors:  J D R Millán; R Rupp; G R Müller-Putz; R Murray-Smith; C Giugliemma; M Tangermann; C Vidaurre; F Cincotti; A Kübler; R Leeb; C Neuper; K-R Müller; D Mattia
Journal:  Front Neurosci       Date:  2010-09-07       Impact factor: 4.677

  10 in total
  6 in total

1.  Evaluation of a smartphone platform as a wireless interface between tongue drive system and electric-powered wheelchairs.

Authors:  Jeonghee Kim; Xueliang Huo; Julia Minocha; Jaimee Holbrook; Anne Laumann; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2012-04-16       Impact factor: 4.538

2.  A wireless magnetoresistive sensing system for an intraoral tongue-computer interface.

Authors:  Hangue Park; Mehdi Kiani; Hyung-Min Lee; Jeonghee Kim; Jacob Block; Benoit Gosselin; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2012-12       Impact factor: 3.833

3.  The tongue enables computer and wheelchair control for people with spinal cord injury.

Authors:  Jeonghee Kim; Hangue Park; Joy Bruce; Erica Sutton; Diane Rowles; Deborah Pucci; Jaimee Holbrook; Julia Minocha; Beatrice Nardone; Dennis West; Anne Laumann; Eliot Roth; Mike Jones; Emir Veledar; Maysam Ghovanloo
Journal:  Sci Transl Med       Date:  2013-11-27       Impact factor: 17.956

4.  Qualitative assessment of tongue drive system by people with high-level spinal cord injury.

Authors:  Jeonghee Kim; Hangue Park; Joy Bruce; Diane Rowles; Jaimee Holbrook; Beatrice Nardone; Dennis P West; Anne E Laumann; Elliot Roth; Emir Veledar; Maysam Ghovanloo
Journal:  J Rehabil Res Dev       Date:  2014

5.  Quantitative assessment of magnetic sensor signal processing algorithms in a wireless tongue-operated assistive technology.

Authors:  Abner Ayala-Acevedo; Maysam Ghovanloo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

6.  An arch-shaped intraoral tongue drive system with built-in tongue-computer interfacing SoC.

Authors:  Hangue Park; Maysam Ghovanloo
Journal:  Sensors (Basel)       Date:  2014-11-14       Impact factor: 3.576

  6 in total

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