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Abstract
Some rule based techniques are presented that can assist powered wheelchair drivers. The expert system decides on the direction and speed of their wheelchair. The system tends to avoid obstacles while having a tendency to turn and head in towards a desired destination. This is achieved by producing a new target angle as an extra input. Other inputs are from sensors and a joystick. Directions are recommended and mixed with user inputs from the joystick representing desired direction and desired speed. The rule-based system decides on an angle to turn the powered wheelchair and suggest it. Inputs from the joystick and sensors are mixed with the suggested angle from the Rule Based Expert System. A modified direction for the wheelchair is produced. The whole system helps disabled wheelchair users to drive their powered wheelchairs.
Original language | English |
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Title of host publication | Intelligent Systems and Applications |
Subtitle of host publication | Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1 |
Editors | Kohei Arai, Supriya Kapoor, Rahul Bhatia |
Publisher | Springer |
Pages | 822-838 |
Number of pages | 17 |
ISBN (Electronic) | 978-3-030-01054-6 |
ISBN (Print) | 978-3-030-01053-9 |
DOIs | |
Publication status | Published - Jan 2019 |
Event | IntelliSys 2018 - London, United Kingdom Duration: 6 Sept 2018 → 7 Sept 2018 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Publisher | Springer |
Volume | 868 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | IntelliSys 2018 |
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Country/Territory | United Kingdom |
City | London |
Period | 6/09/18 → 7/09/18 |
Keywords
- Assist
- Collision avoidance
- Decision
- Driving
- Powered
- Rule-based
- Wheelchair
Fingerprint
Dive into the research topics of 'A rule-based expert system to decide on direction and speed of a powered wheelchair'. Together they form a unique fingerprint.Projects
- 1 Finished
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Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
Sanders, D. (PI), Gegov, A. (CoI) & Haddad, M. (Team Member)
Engineering and Physical Sciences Research Council
1/11/18 → 1/11/22
Project: Research
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