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

Mohmed, G., Lotfi, A. ORCID: 0000-0002-5139-6565 and Pourabdollah, A. ORCID: 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:
NumberType
10.1145/3389189.3397991DOI
1350693Other
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:
URI: http://irep.ntu.ac.uk/id/eprint/40471

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