Editors:
- Covers the challenges and opportunities of the emerging field of contactless sensing
- Provides a comprehensive overview of the past and recent research works associated with different contactless sensors focusing on human activity analysis including recent techniques from the areas of artificial intelligence, deep learning, and Human–Computer Interaction
- Presents advanced application areas and futuristic research topics such as contactless activity analysis in health care, activity recognition on smart mobile devices, and driver and pedestrian behavior analysis for autonomous driving
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 200)
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Table of contents (12 chapters)
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Front Matter
About this book
Editors and Affiliations
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Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh
Md Atiqur Rahman Ahad
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Multimedia R&D and Standards, Qualcomm Technologies Inc., San Diego, USA
Upal Mahbub
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College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, USA
Tauhidur Rahman
Bibliographic Information
Book Title: Contactless Human Activity Analysis
Editors: Md Atiqur Rahman Ahad, Upal Mahbub, Tauhidur Rahman
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-68590-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-68589-8Published: 24 March 2021
Softcover ISBN: 978-3-030-68592-8Published: 24 March 2022
eBook ISBN: 978-3-030-68590-4Published: 23 March 2021
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XX, 364
Number of Illustrations: 44 b/w illustrations, 74 illustrations in colour
Topics: Computational Intelligence, Electronics and Microelectronics, Instrumentation, Data Engineering, User Interfaces and Human Computer Interaction