skip to main content
10.1145/3517428.3550374acmconferencesArticle/Chapter ViewAbstractPublication PagesassetsConference Proceedingsconference-collections
poster

Personalizable Alternative Mouse and Keyboard Interface for People with Motor Disabilities of Neuromuscular Origin

Published: 22 October 2022 Publication History

Abstract

People with motor disabilities of neuromuscular origin often struggle with operating the computer through a commercially available mouse and QWERTY keyboard. This work presents an alternative mouse and keyboard interface, which is personalizable to meet the individual needs of the target population to allow a more efficient use of the computer. The regular/commercially available mouse is therefor replaced by a spectacle frame equipped with pressure sensors for mouse click activation and an inertial measurement unit for mouse cursor control through head movements. The alternative keyboard is based around a ten button keyboard, with multiple letters assigned to each key. The users can then chose the desired word from a list of word suggestions that is compiled based on the keyboard input. Prior experiments, the users went through a software guided calibration procedure to experimentally determine individual thresholds and parameters. The system was tested by two nondisabled participants through typing and click tests, followed by a questionnaire to give feedback on the system.

References

[1]
Anna M.H. Abrams, Carl Fridolin Weber, and Philipp Beckerle. 2018. Design and testing of sensors for text entry and mouse control for individuals with neuromuscular diseases. ASSETS 2018 - Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility(2018), 398–400. https://doi.org/10.1145/3234695.3241012
[2]
C. L. Fall, A. Campeau-Lecours, C. Gosselin, and B. Gosselin. 2018. Evaluation of a Wearable and Wireless Human-Computer Interface Combining Head Motion and sEMG for People with Upper-Body Disabilities. 2018 16th IEEE International New Circuits and Systems Conference, NEWCAS 2018 (2018), 287–290. https://doi.org/10.1109/NEWCAS.2018.8585522
[3]
Diyar Gür, Niklas Schäfer, Mario Kupnik, and Philipp Beckerle. 2020. A human–computer interface replacing mouse and keyboard for individuals with limited upper limb mobility. Multimodal Technologies and Interaction 4, 4 (2020), 1–16. https://doi.org/10.3390/mti4040084
[4]
I. Scott MacKenzie. 2008. FittsTaskTwo. http://www.yorku.ca/mack/FittsTaskTwo.html
[5]
I. Scott Mackenzie and Torsten Felzer. 2010. SAK: Scanning ambiguous keyboard for efficient one-key text entry. ACM Transactions on Computer-Human Interaction 17, 3(2010), 1–39. https://doi.org/10.1145/1806923.1806925
[6]
I. Scott MacKenzie and R. William Soukoreff. 2003. Phrase sets for evaluating text entry techniques. Conference on Human Factors in Computing Systems - Proceedings (2003), 754–755. https://doi.org/10.1145/765891.765971
[7]
Kurt Manal, Benjamin Gillette, and Ira Lockwood. 2021. The mouth mouse: An intuitive bluetooth controller of electronic systems for persons with upper-limb impairment. In Proceedings of the 2021 Design of Medical Devices Conference, DMD 2021. 1–5. https://doi.org/10.1115/DMD2021-1044
[8]
Carl M. Pearson. 1963. Muscular dystrophy. Review and recent observations. The American Journal of Medicine 35, 5 (1963), 632–645. https://doi.org/10.1016/0002-9343(63)90135-9
[9]
Hans Scheffer. 2004. Spinal muscular atrophy.Methods in molecular medicine 92 (2004), 343–358.
[10]
Jörg B. Schulz and Massimo Pandolfo. 2013. 150 years of Friedreich Ataxia: From its discovery to therapy. Journal of Neurochemistry 126, SUPPL.1 (2013), 1–3. https://doi.org/10.1111/jnc.12327
[11]
R. William Soukoreff and I. Scott MacKenzie. 2004. Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts’ law research in HCI. International Journal of Human Computer Studies 61, 6 (2004), 751–789. https://doi.org/10.1016/j.ijhcs.2004.09.001
[12]
Victoria Young and Alex Mihailidis. 2010. Difficulties in automatic speech recognition of dysarthric speakers and implications for speech-based applications used by the elderly: A literature review. Assistive Technology 22, 2 (2010), 99–112. https://doi.org/10.1080/10400435.2010.483646
[13]
Behnaz Yousefi, Xueliang Huo, Jeonghee Kim, Emir Veledar, and Maysam Ghovanloo. 2012. Quantitative and comparative assessment of learning in a tongue-operated computer input device - Part II: Navigation tasks. IEEE Transactions on Information Technology in Biomedicine 16, 4(2012), 633–643. https://doi.org/10.1109/TITB.2012.2191793

Cited By

View all
  • (2024)From Imagination to Innovation: Using Participatory Design Fiction to Envision the Future of Accessible Gaming Wearables for Players with Upper Limb Motor DisabilitiesProceedings of the ACM on Human-Computer Interaction10.1145/36770738:CHI PLAY(1-30)Online publication date: 15-Oct-2024

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
ASSETS '22: Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility
October 2022
902 pages
ISBN:9781450392587
DOI:10.1145/3517428
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2022

Check for updates

Author Tags

  1. Fitts’ law
  2. alternative input device
  3. assistive technology
  4. human-computer interaction
  5. neuromuscular disease
  6. personalization

Qualifiers

  • Poster
  • Research
  • Refereed limited

Funding Sources

Conference

ASSETS '22
Sponsor:

Acceptance Rates

ASSETS '22 Paper Acceptance Rate 35 of 132 submissions, 27%;
Overall Acceptance Rate 436 of 1,556 submissions, 28%

Upcoming Conference

ASSETS '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)45
  • Downloads (Last 6 weeks)1
Reflects downloads up to 15 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2024)From Imagination to Innovation: Using Participatory Design Fiction to Envision the Future of Accessible Gaming Wearables for Players with Upper Limb Motor DisabilitiesProceedings of the ACM on Human-Computer Interaction10.1145/36770738:CHI PLAY(1-30)Online publication date: 15-Oct-2024

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media