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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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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: |
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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: | 10.1007/978-3-319-22416-9_21 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102322 |