Literature DB >> 20332552

Evaluation of a wireless wearable tongue-computer interface by individuals with high-level spinal cord injuries.

Xueliang Huo1, Maysam Ghovanloo.   

Abstract

The tongue drive system (TDS) is an unobtrusive, minimally invasive, wearable and wireless tongue-computer interface (TCI), which can infer its users' intentions, represented in their volitional tongue movements, by detecting the position of a small permanent magnetic tracer attached to the users' tongues. Any specific tongue movements can be translated into user-defined commands and used to access and control various devices in the users' environments. The latest external TDS (eTDS) prototype is built on a wireless headphone and interfaced to a laptop PC and a powered wheelchair. Using customized sensor signal processing algorithms and graphical user interface, the eTDS performance was evaluated by 13 naive subjects with high-level spinal cord injuries (C2-C5) at the Shepherd Center in Atlanta, GA. Results of the human trial show that an average information transfer rate of 95 bits/min was achieved for computer access with 82% accuracy. This information transfer rate is about two times higher than the EEG-based BCIs that are tested on human subjects. It was also demonstrated that the subjects had immediate and full control over the powered wheelchair to the extent that they were able to perform complex wheelchair navigation tasks, such as driving through an obstacle course.

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Year:  2010        PMID: 20332552      PMCID: PMC2952279          DOI: 10.1088/1741-2560/7/2/026008

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  20 in total

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

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Authors:  P M FITTS
Journal:  J Exp Psychol       Date:  1954-06

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Authors:  Lotte N S Andreasen Struijk
Journal:  IEEE Trans Biomed Eng       Date:  2006-12       Impact factor: 4.538

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Authors:  Leigh R Hochberg; John P Donoghue
Journal:  IEEE Eng Med Biol Mag       Date:  2006 Sep-Oct

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8.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia.

Authors:  Leigh R Hochberg; Mijail D Serruya; Gerhard M Friehs; Jon A Mukand; Maryam Saleh; Abraham H Caplan; Almut Branner; David Chen; Richard D Penn; John P Donoghue
Journal:  Nature       Date:  2006-07-13       Impact factor: 49.962

9.  Using human extra-cortical local field potentials to control a switch.

Authors:  Philip Kennedy; Dinal Andreasen; Princewill Ehirim; Brandon King; Todd Kirby; Hui Mao; Melody Moore
Journal:  J Neural Eng       Date:  2004-06-14       Impact factor: 5.379

10.  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
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  23 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.  Using Fitts's law for evaluating Tongue Drive System as a pointing device for computer access.

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

3.  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

4.  Toward an Ultralow-Power Onboard Processor for Tongue Drive System.

Authors:  Sina Viseh; Maysam Ghovanloo; Tinoosh Mohsenin
Journal:  IEEE Trans Circuits Syst II Express Briefs       Date:  2015-02       Impact factor: 3.292

5.  Quantitative and comparative assessment of learning in a tongue-operated computer input device.

Authors:  Behnaz Yousefi; Xueliang Huo; Emir Veledar; Maysam Ghovanloo
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-06-07

6.  Motor performance of tongue with a computer-integrated system under different levels of background physical exertion.

Authors:  Xueliang Huo; Ashley N Johnson-Long; Maysam Ghovanloo; Minoru Shinohara
Journal:  Ergonomics       Date:  2013-09-05       Impact factor: 2.778

7.  Magnetic implants in the tongue for assistive technologies: Tests of migration; oromotor function; and tissue response in miniature pigs.

Authors:  Alan J Sokoloff; Zhongtao Yang; Saman Sargolzaei; Karen Strait; Andrey Krasnopeyev; Kirk A Easley; Sylvie Mimche; Maysam Ghovanloo
Journal:  Arch Oral Biol       Date:  2017-05-02       Impact factor: 2.633

8.  Development of a tongue-piercing method for use with assistive technology.

Authors:  Julia S Minocha; Jaimee S Holbrook; Dennis P West; Maysam Ghovanloo; Anne E Laumann
Journal:  JAMA Dermatol       Date:  2014-04       Impact factor: 10.282

9.  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

10.  A dual-mode human computer interface combining speech and tongue motion for people with severe disabilities.

Authors:  Xueliang Huo; Hangue Park; Jeonghee Kim; Maysam Ghovanloo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-03-07       Impact factor: 3.802

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