Improving human-machine interaction for a powered wheelchair driver by using variable-switches and sensors that reduce wheelchair-veer

David Sanders, Martin Langner, Nils Bausch, Ya Huang, Sergey Andreyevich Khaustov, Sarinova Simandjuntak

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

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    Abstract

    The integration of proportional switches for human-computer interaction and sensors with veer correction systems are presented. The transducers and sensors improve control, assist wheelchair drivers and reduced wheelchair veer, especially on slopes. The systems also reduce effort. The proportional switches are particularly useful for disabled people who do not have enough skill to use a joystick, or who lack sufficient hand-grasp and release ability, or who have movement disorders. The new systems were tested using laboratory test rigs. The test rigs were reused later to teach human users. A rolling road was then built to test the systems before user trials were undertaken. The angle of the wheelchair casters provided feedback and that feedback was used to reduce drift. A new electronic system matched the caster angles to the driver input. A case study is described. Results are presented, and they suggest there are advantages to using variable rather than digital or binary switches. The veer correction system can assist when a user is traversing a slope. The transducers and systems have been tested at Chailey heritage and proved to be useful in assisting powered-wheelchair users. The proportional switches isolate the gross motor functions and filter out uncontrolled movement. The sensor system helps users to steer on uneven or sloping ground. The transducers also provide more control during turning and can reduce the turn radius as well as lowering frustration and conserving energy.
    Original languageEnglish
    Title of host publicationProceedings of SAI Intelligent Systems Conference
    Subtitle of host publicationIntelliSys 2019: Intelligent Systems and Applications
    EditorsYaxin BI, Rahul Bhatia, Supriya Kapoor
    PublisherSpringer
    Pages1173-1191
    Number of pages19
    ISBN (Electronic)978-3-030-29513-4
    ISBN (Print)978-3-030-29512-7
    DOIs
    Publication statusPublished - 24 Aug 2019
    EventIEEE SAI Intelligent Systems Conference 2019 - London, United Kingdom
    Duration: 5 Sept 20196 Sept 2019
    https://saiconference.com/IntelliSys
    https://saiconference.com/Conferences/IntelliSys2019

    Publication series

    NameAdvances in Intelligent Systems and Computing
    PublisherSpringer
    Volume1038
    ISSN (Print)2194-5357
    ISSN (Electronic)2194-5365

    Conference

    ConferenceIEEE SAI Intelligent Systems Conference 2019
    Abbreviated titleIntelliSys 2019
    Country/TerritoryUnited Kingdom
    CityLondon
    Period5/09/196/09/19
    Internet address

    Keywords

    • wheelchair
    • driver
    • switches
    • sensors
    • veer
    • assistive
    • HCI

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