Analysis of accelerometer data for personalised mood detection in activities of daily living

Altamirano-Flores, YV, Konios, A ORCID logoORCID: https://orcid.org/0000-0001-5281-1911, Lopez-Nava, IH, Garcia-Constantino, M, Ekerete, I and Mustafa, MA, 2023. Analysis of accelerometer data for personalised mood detection in activities of daily living. In: Proceedings of the 21st International Conference on Pervasive Computing and Communications (PerCom 2023). Piscataway: Institute of Electrical and Electronics Engineers.

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Item Type: Chapter in book
Description: Paper presented at the 21st International Conference on Pervasive Computing and Communications (PerCom 2023), Atlanta, Georgia, United States, 13-17 March 2023.
Creators: Altamirano-Flores, Y.V., Konios, A., Lopez-Nava, I.H., Garcia-Constantino, M., Ekerete, I. and Mustafa, M.A.
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway
Date: 17 March 2023
Identifiers:
Number
Type
1736091
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Rights: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 01 Mar 2023 09:08
Last Modified: 17 Mar 2024 03:00
URI: https://irep.ntu.ac.uk/id/eprint/48431

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