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Embedded hardware for closing the gap between research and industry in the assistive powered wheelchair market

Canoz, V, Gillham, Michael, Oprea, P, Chaumont, P, Bodin, A, Laux, P, Lebigre, M, Howells, Gareth, Sirlantzis, Konstantinos (2017) Embedded hardware for closing the gap between research and industry in the assistive powered wheelchair market. In: IEEE/SICE International Symposium on System Integration (SII 2016). . IEEE E-ISBN 978-1-5090-3329-4. (doi:10.1109/SII.2016.7843983) (KAR id:58179)


Literature is abound with smart wheelchair platforms of various developments, yet to date there has been little technology find its way to the market place. Many trials and much research has taken place over the last few decades however the end user has benefited precious little. There exists two fundamental difficulties when developing a smart powered wheelchair assistive system, the first is need for the system to be fully compatible with all of the manufacturers, and the second is to produce a technology and business model which is marketable and therefore desirable to the manufacturers. However this requires the researchers to have access to hardware which can be used to develop practical systems which integrate and communicate seamlessly with current manufacturer’s wheelchair systems. We present our powered wheelchair system which integrates with 95% of the powered wheelchair controller market; our system allows researchers to access the low level embedded system with more powerful computational devices running sophisticated software enabling rapid development of algorithms and techniques. When they have been evaluated they can be easily ported to the embedded processor for real-time evaluation and clinical trial.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/SII.2016.7843983
Uncontrolled keywords: Assistive technology, Robotic systems
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7895.E42 Embedded computer systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Gareth Howells
Date Deposited: 27 Oct 2016 17:05 UTC
Last Modified: 08 Dec 2022 21:25 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Gillham, Michael.

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Howells, Gareth.

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Sirlantzis, Konstantinos.

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