Events8th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session S7. Sensing for Robotics and Automation of the event 8th International Electronic Conference on Sensors and Applications
Published date
01 Nov, 2021
Academic Editor
author-avatarFrancisco Falcone
Citation
Ejay Nsugbe, Oluwarotimi Samuel, Mojisola Grace Asogbon, Guanglin Li, On the Sensing and Decoding of Phantom Motions for Control of the Cybernetics of the Upper-limb Prosthesis, in Proceedings of 8th International Electronic Conference on Sensors and Applications, 1 November–15 November 2021, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-8-11314
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On the Sensing and Decoding of Phantom Motions for Control of the Cybernetics of the Upper-limb Prosthesis

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Mojisola Grace Asogbon 2
1. Nsugbe Research Labs, UK
2. Shenzhen Institutes of Advanced Technology
Abstract

The Cybernetic interface within an Upper-Limb prosthesis facilitates a Human-Machine interaction and ultimately control of the prosthesis limb, a coherent flow between the phantom motion and subsequent actuation of the prosthesis limb to produce the desired gesture hinges heavily hinges heavily upon the physiological sensing source and its ability to acquire quality signal alongside an appropriate decoding of this intent signals with the aid of appropriate signal processing algorithms. In this paper we discuss the sensing and signal processing aspects of the overall prosthesis control cybernetics, with emphasis on transradial, transhumeral and shoulder disarticulate amputations which represent considerable upper-limb amputees typically encountered within the population. We conclude by pinpointing a number of areas within the prosthesis control interface and the ergonomics of the prosthesis limbs that can be subject to further work in order to increase the efficiency, accessibility and overall usage of the bionic upper-limb prosthesis.

Keywords
Cybernetics
Biosensors
Robotics
Machine Learning
Upper-Limb Amputations
Intelligent Systems
Artificial Intelligence
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