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
AuthorsBillah, M. S., Ahad, M. and Mahbub, U.
EditorsAhad, 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 titleContactless Human Activity Analysis
Page range113-144
Year2021
PublisherSpringer, Cham
Publication dates
Online24 Mar 2021
Publication process dates
Deposited26 Jul 2023
Edition1
SeriesIntelligent Systems Reference Library
ISBN9783030685904
9783030685898
ISSN1868-4394
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
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