Towards Intelligent Lower Limb Prostheses with Activity Recognition

Maqbool, HF, Mehryar, P, Husman, MAB et al. (3 more authors) (2015) Towards Intelligent Lower Limb Prostheses with Activity Recognition. In: Dixon, C and Tuyls, K, (eds.) Lecture Notes in Computer Science. Towards Autonomous Robotic Systems 16th Annual Conference, TAROS 2015, 08-10 Sep 2015, Liverpool, UK. Springer Verlag , pp. 180-185. ISBN 978-3-319-22415-2

Abstract

User’s volitional control of lower limb prostheses is still challenging task despite technological advancements. There is still a need for amputees to impose their will upon the prosthesis to drive in an accurate and interactive fashion. This study represents a brief review on control strategies using different sensor modalities for the purpose of phases/events detection and activity recognition. The preliminary work that is associated with middle-level control shows a simple and reliable method for event detection in real-time using a single inertial measurement unit. The outcome shows promising results.

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Authors/Creators:	Maqbool, HF Mehryar, P Husman, MAB Awad, MI Abouhossein, A https://orcid.org/0000-0001-8697-1593 Dehghani-Sanij, AA
Copyright, Publisher and Additional Information:	(c) 2015, Springer International Publishing Switzerland. This is an author produced version of a paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://doi.org/10.1007/978-3-319-22416-9_21
Keywords:	Intent recognition; Lower limb prostheses; Pattern recognition; Electromyography (EMG); Mechanical sensors; Multi sensor fusion
Dates:	Published (online): 18 July 2015 Published: 2015
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	21 Jul 2016 15:38
Last Modified:	20 Jan 2018 23:21
Published Version:	http://doi.org/10.1007/978-3-319-22416-9_21
Status:	Published
Publisher:	Springer Verlag
Identification Number:	https://doi.org/10.1007/978-3-319-22416-9_21
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Towards Intelligent Lower Limb Prostheses with Activity Recognition

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