Live demonstration: Prosthesis control using a real-time retina cell network simulator

Coen Arrow, Jason K. Eshraghian, Hancong Wu, Seungbum Baek, Herbert H.C. Iu, Kianoush Nazarpour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

As actuated prostheses mature in reliability, they are moving beyond academic development and into market. Volitional control of the prosthesis is often by means of myoelectric signalling within the user. The corresponding electromyograph is processed by the controller, and relayed into the corresponding positions and grips. This muscle control can be impaired in amputees depending on the location of the amputation, or by neurological disorders or damage. In this demonstration we suggest a means of overcoming this limitation by using visual signalling as a control. A conductance-based retina simulator is used to demonstrate the feasibility of prosthesis control using a combination of the rod and cone cell responses.

Original languageEnglish
Title of host publicationICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
PublisherIEEE
Number of pages2
ISBN (Electronic)978-1-7281-6044-3
ISBN (Print)978-1-7281-6045-0
DOIs
Publication statusPublished - 23 Nov 2020
Event27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 - Glasgow, United Kingdom
Duration: 23 Nov 202025 Nov 2020

Publication series

NameICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

Conference

Conference27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020
Country/TerritoryUnited Kingdom
CityGlasgow
Period23/11/2025/11/20

Keywords / Materials (for Non-textual outputs)

  • Abstract Decoding
  • Photoreceptor
  • Prosthesis
  • Retina
  • Simulator

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