Multi-class Multi-label Classification for Cooking Activity Recognition
In this paper, we present an automatic approach to recognize cooking activities from acceleration and motion data. We rely on a dataset that contains three-axis acceleration and motion data collected with multiple devices, including two wristbands, two sm
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Md Atiqur Rahman Ahad Paula Lago Sozo Inoue Editors
Human Activity Recognition Challenge
Smart Innovation, Systems and Technologies Volume 199
Series Editors Robert J. Howlett, Bournemouth University and KES International, Shoreham-by-sea, UK Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles. Indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SCImago, DBLP. All books published in the series are submitted for consideration in Web of Science.
More information about this series at http://www.springer.com/series/8767
Md Atiqur Rahman Ahad Paula Lago Sozo Inoue •
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Editors
Human Activity Recognition Challenge
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Editors Md Atiqur Rahman Ahad University of Dhaka Dhaka, Bangladesh
Paula Lago Kyushu Institute of Technology Fukuoka, Japan
Osaka University Osaka, Japan Sozo Inoue Kyushu Institute of Technology Fukuoka, Japan
ISSN 2190-3018 ISSN 2190-3026 (electronic) Smart Innovation, Systems and Technologies ISBN 978-981-15-8268-4 ISBN 978-981-15-8269-1 (eBook) https://doi.org/10.1007/978-981-15-8269-1 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translatio
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