Automated movement detection with Dirichlet process mixture models and electromyography

Cooray, N., Li, Z., Wang, J. et al. (6 more authors) (2022) Automated movement detection with Dirichlet process mixture models and electromyography. In: Proceedings of the 2022 25th International Conference on Information Fusion (FUSION). 2022 25th International Conference on Information Fusion (FUSION), 04-07 Jul 2022, Linköping, Sweden. Institute of Electrical and Electronics Engineers ISBN 9781665489416

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 The Authors. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.

Keywords: Dirichlet Process; REM sleep behaviour disorder; RBD; movement detection; Gaussian mixture model
Dates:
  • Published: 9 August 2022
  • Published (online): 9 August 2022
  • Accepted: 3 May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/T013265/1; EP/G036861/1; EP/N024966/1
Depositing User: Symplectic Sheffield
Date Deposited: 01 Jun 2022 13:07
Last Modified: 12 Jan 2024 10:57
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.23919/FUSION49751.2022.9841235
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics