Human machine interaction using zero force sensing switches incorporating self-adaptation

Martin Langner, David A. Sanders, Giles Tewkesbury, Shikun Zhou, Malik Haddad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

A novel human machine interface is presented that ‘self-adapts’ to accommodate for changes in position between an operator and a non-contact sensor. Zero force sensing has been especially suitable for people with small amounts of movement force that has made switch operation difficult or impossible. A common issue with existing switches concerned maintaining a workable operating position for a user. Testing of new “auto adapting” sensors demonstrated the viability of the approach and optical sensors provided a workable solution, but problems were encountered in strong light. Further work addressed this problem.
Original languageEnglish
Title of host publicationBiomedical and Computational Biology
Subtitle of host publicationSecond International Symposium, BECB 2022, Virtual Event, August 13–15, 2022, Revised Selected Papers
EditorsShiping Wen, Cihui Yang
PublisherSpringer
Pages256-264
Number of pages9
ISBN (Electronic)9783031251917
ISBN (Print)9783031251900
DOIs
Publication statusPublished - 2 Feb 2023
Event2nd International Symposium on Biomedical and Computational Biology, BECB 2022 - Virtual, Online
Duration: 13 Aug 202215 Aug 2022

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Nature
Volume13637
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Biomedical and Computational Biology, BECB 2022
CityVirtual, Online
Period13/08/2215/08/22

Keywords

  • assistive technology
  • human machine interaction
  • powered mobility
  • zero force sensing

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