Novel Algorithm for Identification and Differentiation of Shuffling from Walking

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dc.contributor.author Chigateri, Nethra Ganesh en
dc.contributor.author Kerse, Ngaire en
dc.contributor.author MacDonald, Bruce en
dc.coverage.spatial Xi'an, China en
dc.date.accessioned 2020-01-12T22:32:58Z en
dc.date.issued 2019-11-21 en
dc.identifier.citation Proceedings 2019 IEEE International Conference on Healthcare Informatics (ICHI). IEEE. 3 pages. 21 Nov 2019 DOI en
dc.identifier.uri http://hdl.handle.net/2292/49554 en
dc.description.abstract Gait is known to be the chief indicator of the general health of a person. Analysis of varying gait patterns provides insight into falls. Shuffling is common among elderly people and those affected by neurological disorders. Gait constituting shuffles is one of the main causes of falls among people with Dementia and Parkinson's disease. Scrutinizing gait abnormality and identifying the differences between normal and atypical gaits will help in undertaking precautionary measures to reduce the occurrence of falls. Hence the main objective of this research is to develop and implement an algorithm for recognizing and differentiating normal and shuffling gaits. en
dc.publisher IEEE en
dc.relation.ispartof ICHI en
dc.relation.ispartofseries Proceedings 2019 IEEE International Conference on Healthcare Informatics (ICHI) 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.rights.uri https://www.ieee.org/publications/rights/author-posting-policy.html en
dc.title Novel Algorithm for Identification and Differentiation of Shuffling from Walking en
dc.type Conference Item en
dc.identifier.doi 10.1109/ICHI.2019.8904831 en
dc.rights.holder Copyright: IEEE en
pubs.finish-date 2019-06-13 en
pubs.start-date 2019-06-10 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 786838 en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
pubs.org-id Medical and Health Sciences en
pubs.org-id Population Health en
pubs.record-created-at-source-date 2019-11-26 en


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