Detecting and differentiating leg bouncing behaviour from everyday movements using tri-axial accelerometer data

Senaratne, Hashini, Ellis, Kirsten, Oviatt, Sharon and Melvin, Glenn 2020, Detecting and differentiating leg bouncing behaviour from everyday movements using tri-axial accelerometer data, in UbiComp/ISWC 2020 : Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, Association for Computing Machinery, New York, N.Y., pp. 127-130, doi: 10.1145/3410530.3414388.

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Title Detecting and differentiating leg bouncing behaviour from everyday movements using tri-axial accelerometer data
Author(s) Senaratne, Hashini
Ellis, Kirsten
Oviatt, Sharon
Melvin, GlennORCID iD for Melvin, Glenn orcid.org/0000-0002-6958-3908
Conference name Joint pervasive and ubiquitous computing and wearable computers. Conference and symposium (2020 : Online from Cancun, Mexico)
Conference location Online from Cancun, Mexico
Conference dates 2020/09/12 - 2020/09/16
Title of proceedings UbiComp/ISWC 2020 : Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
Publication date 2020
Start page 127
End page 130
Total pages 4
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) accelerometer
behavioural markers
classification
fidget
leg bouncing
leg shaking
machine learning
Notes This conference was originally scheduled to be held in Cancun, Mexico, however due the 2020 Covid Pandemic, it was held online
ISBN 9781450380768
Language eng
DOI 10.1145/3410530.3414388
Indigenous content off
Field of Research 170199 Psychology not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144061

Document type: Conference Paper
Collections: Faculty of Health
School of Psychology
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