Ayodele, E, Zaidi, SAR, Zhang, Z orcid.org/0000-0003-0204-3867 et al. (3 more authors) (Accepted: 2019) Weft Knit Smart Data Glove. In: 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 19-22 May 2019, Chicago, USA. (Unpublished)
Abstract
The use of external attachments in connecting strain sensors to fabric in smart textiles reduces their reliability. In this paper, we illustrate how weft knitting and WholeGarment technology can be applied to create a smart data glove whose sensors and support structure are wholly textile thus lacking an external attachment. Furthermore, we validated the accuracy of the data glove with a reference device.
Metadata
Item Type: | Conference or Workshop Item |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This item is protected by copyright. This is an author produced version of a paper accepted for IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Uploaded in accordance with the publisher's self-archiving policy. 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: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Apr 2019 12:29 |
Last Modified: | 03 Mar 2024 03:23 |
Status: | Unpublished |
Publisher: | IEEE |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145383 |