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Artificial intelligence for safe assisted driving based on user head movements in robotic wheelchairs

Oprea, Paul, Sirlantzis, Konstantinos, Chatzidimitriadis, Sotirios, Doumas, Odysseas, Howells, Gareth (2019) Artificial intelligence for safe assisted driving based on user head movements in robotic wheelchairs. In: Proceedings 15th Conference on Global Challenges in Assistive Technology: Research, Policy & Practice. Proceedings 15th Conference on Global Challenges in Assistive Technology: Research, Policy & Practice. 31 (1). IOS Press ISBN 10554181. (KAR id:74070)

Abstract

Wheelchairs users don’t always have the ability to control a powered wheelchair using a normal joystick due to factors that restrict the use of their arms and hands. For a certain number of these individuals, which still retain mobility of their head, alternative methods have been devised, such as chin-joysticks, head switches or sip-and-puff control. Such solutions can be bulky, cumbersome, unintuitive or simply uncomfortable and taxing for the user. This work presents an alternative head-based drive-control system for wheelchair users.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Assistive technology, AI
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
T Technology > TJ Mechanical engineering and machinery > Intelligent control systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Gareth Howells
Date Deposited: 22 May 2019 16:53 UTC
Last Modified: 10 Dec 2022 12:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/74070 (The current URI for this page, for reference purposes)

University of Kent Author Information

Oprea, Paul.

Creator's ORCID:
CReDIT Contributor Roles:

Sirlantzis, Konstantinos.

Creator's ORCID: https://orcid.org/0000-0002-0847-8880
CReDIT Contributor Roles:

Doumas, Odysseas.

Creator's ORCID:
CReDIT Contributor Roles:

Howells, Gareth.

Creator's ORCID: https://orcid.org/0000-0001-5590-0880
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