EarFieldSensing: A novel In-ear electric field sensing to enrich wearable gesture Input through facial expressions

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dc.contributor.author Matthies, DJC en
dc.contributor.author Strecker, BA en
dc.contributor.author Urban, B en
dc.coverage.spatial Denver, CO en
dc.date.accessioned 2018-10-09T22:03:32Z en
dc.date.issued 2017 en
dc.identifier.isbn 978-1-4503-4655-9 en
dc.identifier.uri http://hdl.handle.net/2292/40023 en
dc.description.abstract EarFieldSensing (EarFS) is a novel input method for mobile and wearable computing using facial expressions. Facial muscle movements induce both electric field changes and physical deformations, which are detectable with electrodes placed inside the ear canal. The chosen ear-plug form factor is rather unobtrusive and allows for facial gesture recognition while utilizing the close proximity to the face. We collected 25 facial-related gestures and used them to compare the performance levels of several electric sensing technologies (EMG, CS, EFS, EarFS) with varying electrode setups. Our developed wearable fine-tuned electric field sensing employs differential amplification to effectively cancel out environmental noise while still being sensitive towards small facial-movement-related electric field changes and artifacts from ear canal deformations. By comparing a mobile with a stationary scenario, we found that EarFS continues to perform better in a mobile scenario. Quantitative results show EarFS to be capable of detecting a set of 5 facial gestures with a precision of 90% while sitting and 85.2% while walking. We provide detailed instructions to enable replication of our low-cost sensing device. Applying it to different positions of our body will also allow to sense a variety of other gestures and activities. en
dc.publisher ACM en
dc.relation.ispartof 2017 ACM SIGCHI Conference on Human Factors in Computing Systems en
dc.relation.ispartofseries CHI'17 Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title EarFieldSensing: A novel In-ear electric field sensing to enrich wearable gesture Input through facial expressions en
dc.type Conference Item en
dc.identifier.doi 10.1145/3025453.3025692 en
pubs.begin-page 1911 en
dc.rights.holder Copyright: The author en
pubs.end-page 1922 en
pubs.finish-date 2017-05-11 en
pubs.place-of-publication New York en
pubs.publication-status Published en
pubs.start-date 2017-05-05 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 728533 en
pubs.org-id Bioengineering Institute en
pubs.record-created-at-source-date 2018-03-05 en


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