Analysis of accelerometer data for personalised abnormal behaviour detection in activities of daily living

Garcia-Constantino, M., Konios, A. ORCID: 0000-0001-5281-1911, Lopez-Nava, I.H., Pouliet, P., Ekerete, I., Mustafa, M.A., Nugent, C. and Morrison, G., 2023. Analysis of accelerometer data for personalised abnormal behaviour detection in activities of daily living. In: J. Bravo, S. Ochoa and J. Favela, eds., Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2022). Lecture notes in networks and systems (594). Cham: Springer International Publishing, pp. 302-313. ISBN 9783031213328

Full text not available from this repository.
Item Type: Chapter in book
Description: Paper presented at the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2022), Córdoba, Spain, 29 November - 2 December 2022.
Creators: Garcia-Constantino, M., Konios, A., Lopez-Nava, I.H., Pouliet, P., Ekerete, I., Mustafa, M.A., Nugent, C. and Morrison, G.
Publisher: Springer International Publishing
Place of Publication: Cham
Date: 2023
Number: 594
ISBN: 9783031213328
Identifiers:
NumberType
10.1007/978-3-031-21333-5_30DOI
1623785Other
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 30 Nov 2022 11:51
Last Modified: 30 Nov 2022 11:51
URI: https://irep.ntu.ac.uk/id/eprint/47556

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