Turnbull, R.P. orcid.org/0000-0001-7334-0880, Evans, E. and Dehghani-Sanij, A.A. (2023) Development and Validation of a Flexible Sensing Array for Placement within the Physical Human-Exoskeleton Interface. In: Proceedings of 2023 International Conference on Rehabilitation Robotics (ICORR). 2023 International Conference on Rehabilitation Robotics (ICORR), 24-28 Sep 2023, Singapore. IEEE ISBN 979-8-3503-4275-8
Abstract
Monitoring the human-exoskeleton interface (HEI) is vital for user safety in assistive exoskeletons. Considering interaction forces during design can improve comfort and efficiency and reduce resistance and inertia. Challenges include covering the lower limb area without interfering with user-robot interaction. This paper presents a force-sensitive resistor (FSR) based sensing sleeve for use within the HEI. The design includes 30 sensors and works independently of it to assess attachment modalities. System characterisation tests the system with human trials. Demonstrating that a low-cost, flexible sensing array can accurately monitor HEI. This provides a promising tool for assessing human-robot interaction and investigating wearable robotic device use.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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: | 06 Jul 2023 11:16 |
Last Modified: | 11 Dec 2023 12:02 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICORR58425.2023.10304686 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201248 |