Employing a deep convolutional neural network for human activity recognition based on binary ambient sensor data

Mohmed, G, Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565 and Pourabdollah, A ORCID: https://orcid.org/0000-0001-7737-1393, 2020. Employing a deep convolutional neural network for human activity recognition based on binary ambient sensor data. In: PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-7. ISBN 9781450377737

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Item Type:	Chapter in book
Description:	Proceedings of PETRA '20: the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 30 June - 3 July 2020.
Creators:	Mohmed, G., Lotfi, A. and Pourabdollah, A.
Publisher:	Association for Computing Machinery (ACM)
Place of Publication:	New York
Date:	30 June 2020
Volume:	Art. 5
ISBN:	9781450377737
Identifiers:	Number Type 10.1145/3389189.3397991 DOI 1350693 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	18 Aug 2020 10:29
Last Modified:	18 Aug 2020 10:29
Related URLs:	Organisation
URI:	https://irep.ntu.ac.uk/id/eprint/40471

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