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

Garcia-Constantino, M, Konios, A ORCID: https://orcid.org/0000-0001-5281-1911, Lopez-Nava, IH, Pouliet, P, Ekerete, I, Mustafa, MA, Nugent, C and Morrison, G, 2023. Analysis of accelerometer data for personalised abnormal behaviour detection in activities of daily living. In: Bravo, J, Ochoa, S and Favela, J, 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

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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:	Number Type 10.1007/978-3-031-21333-5_30 DOI 1623785 Other
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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