Literature DB >> 8279497

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

C Lau1, S O'Leary.   

Abstract

This research employed a descriptive case study design to compare subjects' performance using three computer input devices: the Tongue Touch Keypad, the HeadMaster, and the mouthstick. The sample consisted of four students with severe physical disabilities enrolled in an adaptive computer class at a community college. Components of performance examined were input speed, accuracy, and level of perceived exertion. Subjects' acceptance of each of the interface devices was also examined. Results showed input speed to be the fastest with the mouthstick, followed by the HeadMaster and then the Tongue Touch Keypad. Accuracy of input did not vary significantly. Three subjects rated the Tongue Touch Keypad as requiring the lowest rate of perceived exertion, followed by the HeadMaster and then the mouthstick. Overall performance did not necessarily affect subjects' acceptability ratings of the devices. Information from this study will assist therapists in evaluating the effectiveness and desirability of computer interface devices for patients.

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Mesh:

Year:  1993        PMID: 8279497     DOI: 10.5014/ajot.47.11.1022

Source DB:  PubMed          Journal:  Am J Occup Ther        ISSN: 0272-9490


  16 in total

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

Authors:  Xueliang Huo; Maysam Ghovanloo
Journal:  J Neural Eng       Date:  2010-03-23       Impact factor: 5.379

2.  Cursor Click Modality in an Accelerometer-Based Computer Access Device.

Authors:  Matti D Groll; Surbhi Hablani; Jennifer M Vojtech; Cara E Stepp
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-07       Impact factor: 3.802

3.  Changes in motor performance and mental workload during practice of reaching movements: a team dynamics perspective.

Authors:  Isabelle M Shuggi; Patricia A Shewokis; Jeffrey W Herrmann; Rodolphe J Gentili
Journal:  Exp Brain Res       Date:  2017-12-06       Impact factor: 1.972

4.  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

5.  Improving Target Acquisition for Computer Users With Athetosis.

Authors:  Dan Ding; Sergio Peral Rodriguez; Rory A Cooper; Cameron N Riviere
Journal:  Assist Technol       Date:  2015

6.  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

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.  Evaluation of head orientation and neck muscle EMG signals as command inputs to a human-computer interface for individuals with high tetraplegia.

Authors:  Matthew R Williams; Robert F Kirsch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-10       Impact factor: 3.802

9.  Evaluation of the tongue drive system by individuals with high-level spinal cord injury.

Authors:  Xueliang Huo; Chihwen Cheng; Maysam Ghovanloo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

10.  Text input speed in persons with cervical spinal cord injury.

Authors:  S Pouplin; N Roche; I Vaugier; S Cabanilles; C Hugeron; D Bensmail
Journal:  Spinal Cord       Date:  2015-09-15       Impact factor: 2.772

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