Evaluating a New Approach to Data Fusion in Wearable Physiological Sensors for Stress Monitoring
The physiological signs are a reliable source to identify stress states, and wearable sensors provide precise identification of physiological signs associated with the stress occurrence. The literature review shows that the use of physiological signs as a
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Ricardo Cerri Ronaldo C. Prati (Eds.)
Intelligent Systems 9th Brazilian Conference, BRACIS 2020 Rio Grande, Brazil, October 20–23, 2020 Proceedings, Part II
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Ricardo Cerri Ronaldo C. Prati (Eds.) •
Intelligent Systems 9th Brazilian Conference, BRACIS 2020 Rio Grande, Brazil, October 20–23, 2020 Proceedings, Part II
123
Editors Ricardo Cerri Federal University of São Carlos São Carlos, Brazil
Ronaldo C. Prati Federal University of ABC Santo Andre, Brazil
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-61379-2 ISBN 978-3-030-61380-8 (eBook) https://doi.org/10.1007/978-3-030-61380-8 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The Brazilian Conference on Intelligent Systems (BRACIS) is one of Brazil’s most meaningful events for students and researchers in Artificial and Computational Intelligence. Currently, In its 9th edition, BRACIS originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence (SBIA), with 21 editions, and the Brazilian Symposium on Neural Networks (SBRN),
