Signal Processing for Contactless Monitoring
Book chapter
Billah, M. S., Ahad, M. and Mahbub, U. 2021. Signal Processing for Contactless Monitoring. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 113-144
Authors | Billah, M. S., Ahad, M. and Mahbub, U. |
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Editors | Ahad, M., Mahbub, U. and Rahman, T. |
Abstract | Monitoring human activities from a distance without actively interacting with the subjects to make a decision is a fascinating research domain given the associated challenges and prospects of building more robust artificial intelligence systems. In recent years, with the advancement of deep learning and high-performance computing systems, contactless human activity monitoring systems are becoming more and more realizable every day. However, when looked at closely, the basic building blocks for any such system is still strongly relying on the fundamentals of various signal processing techniques. The choices of a signal processing method depend on the type of signal, formulation of the problem, and higher-level machine learning components. In this chapter, a comprehensive review of the most popular signal processing methods used for contactless monitoring is provided, highlighting their use across different activity signals and tasks. |
Book title | Contactless Human Activity Analysis |
Page range | 113-144 |
Year | 2021 |
Publisher | Springer, Cham |
Publication dates | |
Online | 24 Mar 2021 |
Publication process dates | |
Deposited | 26 Jul 2023 |
Edition | 1 |
Series | Intelligent Systems Reference Library |
ISBN | 9783030685904 |
9783030685898 | |
ISSN | 1868-4394 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-68590-4_4 |
Web address (URL) | https://link.springer.com/book/10.1007/978-3-030-68590-4 |
https://repository.uel.ac.uk/item/8w580
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