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

Canoz, V and Gillham, Michael and Oprea, P and Chaumont, P and Bodin, A and Laux, P and Lebigre, M and Howells, Gareth and 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), 13-15 December 2016, Shiroishi, Japan. (doi:https://doi.org/10.1109/SII.2016.7843983) (Full text available)

PDF - Author's Accepted Manuscript
Download (696kB) Preview
[img]
Preview
Official URL
https://doi.org/10.1109/SII.2016.7843983

Abstract

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)
Uncontrolled keywords: Assistive technology, Robotic systems
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7895.E42 Embedded Systems
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Gareth Howells
Date Deposited: 27 Oct 2016 17:05 UTC
Last Modified: 14 Dec 2017 10:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58179 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year