Overview
- The first collection of best practices and methodologies for activity recognition, by some of the most experienced activity recognition experts
- A community-based approach to assemble study results and data set collections from common human activities
- Latest trends and challenge definitions in the area of context and activity recognition
Part of the book series: Springer Series in Adaptive Environments (SPSADENV)
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Table of contents (15 chapters)
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Modalities and Applications
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Data Collection and Corpus Construction
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SHL: An Activity Recognition Challenge
Keywords
About this book
Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur.
This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.
Editors and Affiliations
Bibliographic Information
Book Title: Human Activity Sensing
Book Subtitle: Corpus and Applications
Editors: Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven
Series Title: Springer Series in Adaptive Environments
DOI: https://doi.org/10.1007/978-3-030-13001-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-13000-8Published: 24 September 2019
Softcover ISBN: 978-3-030-13003-9Published: 24 September 2020
eBook ISBN: 978-3-030-13001-5Published: 09 September 2019
Series ISSN: 2522-5529
Series E-ISSN: 2522-5537
Edition Number: 1
Number of Pages: XII, 250
Number of Illustrations: 42 b/w illustrations, 98 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Control Structures and Microprogramming