Improving human-machine interaction for a powered wheelchair driver by using variable-switches and sensors that reduce wheelchair-veer
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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 language | English |
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Title of host publication | Proceedings of SAI Intelligent Systems Conference |
Subtitle of host publication | IntelliSys 2019: Intelligent Systems and Applications |
Editors | Yaxin BI, Rahul Bhatia, Supriya Kapoor |
Publisher | Springer |
Pages | 1173-1191 |
Number of pages | 19 |
ISBN (Electronic) | 978-3-030-29513-4 |
ISBN (Print) | 978-3-030-29512-7 |
DOIs | |
Publication status | Published - 24 Aug 2019 |
Event | IEEE SAI Intelligent Systems Conference 2019 - London, United Kingdom Duration: 5 Sep 2019 → 6 Sep 2019 https://saiconference.com/IntelliSys https://saiconference.com/Conferences/IntelliSys2019 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Publisher | Springer |
Volume | 1038 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | IEEE SAI Intelligent Systems Conference 2019 |
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Abbreviated title | IntelliSys 2019 |
Country | United Kingdom |
City | London |
Period | 5/09/19 → 6/09/19 |
Internet address |
Documents
- Improving human-machine interaction
Rights statement: This is a post-peer-review, pre-copyedit version of an article published in the Proceedings of SAI Intelligent Systems Conference: IntelliSys 2019: Intelligent Systems and Applications. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-29513-4_84.
Accepted author manuscript (Post-print), 1.13 MB, PDF document
Related information
ID: 12565466