Lecture Notes in Artificial Intelligence 8211

Subseries of Lecture Notes in Computer Science

LNAI Series Editors

Randy GoebelUniversity of Alberta, Edmonton, Canada

Yuzuru TanakaHokkaido University, Sapporo, Japan

Wolfgang WahlsterDFKI and Saarland University, Saarbrücken, Germany

LNAI Founding Series Editor

Joerg SiekmannDFKI and Saarland University, Saarbrücken, Germany

Kazuyuki Imamura Shiro UsuiTomoaki Shirao Takuji KasamatsuLars Schwabe Ning Zhong (Eds.)

Brain andHealth Informatics

International Conference, BHI 2013Maebashi, Japan, October 29-31, 2013Proceedings

13

Volume Editors

Kazuyuki ImamuraMaebashi Institute of Technology, JapanE-mail: imamurak@maebashi-it.ac.jp

Shiro UsuiToyohashi University of Technology, JapanE-mail: usui@eiiris.tut.ac.jp

Tomoaki ShiraoGunma University Graduate School of Medicine, Maebashi, JapanE-mail: tshirao@med.gunma-u.ac.jp

Takuji KasamatsuThe Smith Kettlewell Eye Research Institute, San Francisco, CA, USAE-mail: takuji@ski.org

Lars SchwabeUniversity of Rostock, GermanyE-mail: lars.schwabe@uni-rostock.de

Ning ZhongMaebashi Institute of Technology, JapanE-mail: zhong@maebashi-it.ac.jp

ISSN 0302-9743 e-ISSN 1611-3349ISBN 978-3-319-02752-4 e-ISBN 978-3-319-02753-1DOI 10.1007/978-3-319-02753-1Springer Cham Heidelberg New York Dordrecht London

Library of Congress Control Number: 2013950266

CR Subject Classification (1998): I.2, H.3, H.4, J.3, H.2.8, K.4, I.5, F.2

LNCS Sublibrary: SL 7 – Artificial Intelligence

© Springer International Publishing Switzerland 2013This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part ofthe 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 informationstorage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodologynow known or hereafter developed. Exempted from this legal reservation are brief excerpts in connectionwith reviews or scholarly analysis or material supplied specifically for the purpose of being entered andexecuted on a computer system, for exclusive use by the purchaser of the work. Duplication of this publicationor parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location,in its current version, and permission for use must always be obtained from Springer. Permissions for usemay be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecutionunder the respective Copyright Law.The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoes not imply, even in the absence of a specific statement, that such names are exempt from the relevantprotective laws and regulations and therefore free for general use.While the advice and information in this book are believed to be true and accurate at the date of publication,neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors oromissions that may be made. The publisher makes no warranty, express or implied, with respect to thematerial contained herein.

Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India

Printed on acid-free paper

Springer is part of Springer Science+Business Media (www.springer.com)

Preface

This volume contains the papers selected for the presentation in the technicaland invited special sessions of The 2013 International Conference on Brain andHealth Informatics (BHI 2013) held at Maebashi Terrsa, Maebashi-city, Japan,during October 29–31, 2013. The conference was co-organized by the Web Intelli-gence Consortium (WIC), IEEE Computational Intelligence Society Task Forceon Brain Informatics (IEEE-CIS TF-BI), and Maebashi Institute of Technol-ogy. The conference was jointly held with The 2013 International Conference onActive Media Technology (AMT 2013).

Brain and health informatics (BHI) represents a potentially revolutionaryshift in the way that research is undertaken in health sciences as a whole. BHIaims to capture new forms of collaborative and interdisciplinary work focusing onthe information and communication technologies (ICT), to connect the humanbody to its ultimate product, i.e., thinking. Brain informatics (BI) is an emerginginterdisciplinary and multi-disciplinary research field that emphasizes the studyof the mechanisms underlying the human information processing system (HIPS).BI investigates the essential functions of the brain, in a wide range from percep-tion to thinking, and encompassing such areas as multi-perception, attention,memory, language, computation, heuristic search, reasoning, planning, decisionmaking, problem solving, learning, discovery, and creativity. The current goal ofBI is to develop and demonstrate a systematic approach to achieving an inte-grated understanding of working principles of the brain from the macroscopicto microscopic level, by means of experimental, computational, and cognitiveneuroscience studies, not least utilizing advanced Web intelligence (WI)-centricinformation technologies. Similarly, health informatics (HI) is another disciplineat the intersection of information science, computer science, medical science, andhealth care. It employs heterogeneous tools that include clinical guidelines, medi-cal apparatus and instruments, computers, and information-and-communicationsystems to deal with the resources, devices, and methods required to optimizethe acquisition, storage, retrieval, and the use of information in human health,covering the overall process in diagnosis, treatment, and rehabilitation. HI is ap-plied to the areas of medical, nursing, clinical care, dentistry, pharmacy, publichealth, occupational therapy, and mental health research.

BHI aims to develop and disseminate the understanding of novel, intelli-gent computing formalisms and related technologies in the context of brain andhealth/well-being-related studies and services. The integration of BI and HI willpreferably transfuse the advanced information technology into human-related re-search. Based on WI research needs, systematic studies on the notions of HIPSof the human brain by using fMRI, EEG, MEG, TMS, and eye-tracking, wouldsignificantly broaden the spectra of theories and models in brain sciences, thusoffering new insights into the development of Web-based problem solving, deci-

VI Preface

sion making, and knowledge discovery systems with human-level capabilities. Inreturn, WI-centric information technologies would be applied to support brainand health studies. For instance, the wisdom Web and knowledge grids enablehigh-speed, large-scale analysis, simulation, and computation as well as newways of sharing research data and scientific discoveries. As an extension of BImethodology, the systematic BHI methodology has resulted in the BHI big data,including various raw brain data, medical records, data-related information, ex-tracted data features, found domain knowledge related to human intelligence,and so forth. For effectively utilizing the data wealth as services, a brain/healthdata center needs to be constructed on the Wisdom Web of Things (W2T) andcloud computing platform. Such a center provides huge opportunities for bothfundamental and clinical research with respect to cognitive science, neuroscience,medical science, mental health, nursing, and artificial intelligence. When livingin the hyper world, as we do, in which the physical, social, and cyber worldsare closely interconnected, we increasingly rely on a large amount of data be-cause of the ubiquitous utilities of active devices including sensors, actuators,micro-machines, robots, etc. Thus, the most challenging problem before us is tocurate BHI big data, which can be characterized by four parameters: volume,variety, velocity, and value, promoting data sharing and reuse among differentBHI experimental and computational studies to eventually generate and testhypotheses about human and computational intelligence. BHI 2013 provided agood opportunity for researchers and practitioners from diverse fields to partic-ipate in cutting-edge discussions.

The series of Brain Informatics Conferences started with the First WICIInternational Workshop on Web Intelligence Meets Brain Informatics (WImBI2006), held in Beijing, China, in 2006. The next three conferences (BI 2009, BI2010, and BI 2011) were jointly held with the International Conferences on Ac-tive Media Technology (AMT 2009, AMT 2010, and AMT 2011), respectively,in Beijing, China, Toronto, Canada, and Lanzhou, China. The 5th Brain Infor-matics 2012 was held jointly with other international conferences (AMT 20I2,WI 2012, IAT 2012, and ISMIS 2012) in Macau, SAR China. BHI 2013 hadspecial significance: This was the first conference specifically dedicated to in-terdisciplinary research in brain and health informatics, to lead this field to anew era characterized by data, the Web, and wisdom. The conference providesa leading international forum to bring together researchers and practitioners instudies on the human brain, health care, and the research of computer science.All the papers submitted to BHI 2013 were rigorously reviewed by at least twocommittee members and external reviewers. The papers in this volume offerednew insights into the research challenges and development of brain and healthinformatics.

Here we would like to express our gratitude to all members of the confer-ence committee for their instrumental and unfailing support. BHI 2013 had avery exciting program with a number of features, ranging from keynote talks,technical sessions, workshops, and social programs. This would not have beenpossible without the generous dedication of the Program Committee members

Preface VII

and the external reviewers in reviewing the papers submitted to BHI 2013, and ofour keynote speakers, Yuichiro Anzai of the Japan Society for the Promotion ofScience (Special AMT-BHI 2013 Joint Keynote), Shinsuke Shimojo of the Cali-fornia Institute of Technology, Marcel A. Just of Carnegie Mellon University, andJiming Liu of Hong Kong Baptist University. Special thanks are also extendedto all the panelists of the AMT-BHI panel on Brain Big Data in the HyperWorld, Stephen S. Yau of Arizona State University (chair), Bin Hu of LanzhouUniversity, China, Guoyin Wang of Chongqing University of Posts and Telecom-munications, China, Jianhua Ma of Hosei University, Kazuhiro Oiwa of NationalInstitute of Information and Communications Technology, Japan, as well as Shin-suke Shimojo and Marcel A. Just. We also would like to thank the organizersof the workshops/special sessions including the Workshop on Mental Healthcarewith ICT, the Workshop on Granular Knowledge Discovery in Biomedical &Active-Media Environments, the Special Session on Human-Centered Comput-ing, the Special Session on Neuro-Robotics, and the Special Session on IntelligentHealthcare Data Analytics.

BHI 2013 could not have taken place without the great team effort of the localOrganizing Committee, as well as the support of the Maebashi Institute of Tech-nology and sponsors including Gunma Prefecture Government, Maebashi CityGovernment, Maebashi Convention Bureau, Web Intelligence Lab Inc., MitsubaGakki Co. Ltd., GCC Inc., Japan High Comm, Kuribara Medical Instruments,Yamato Inc., etc. Our special thanks go to Tetsumi Harakawa, Juzhen Dong,Shinichi Motomura, and Yang Yang for organizing and promoting BHI 2013 andcoordinating with AMT 2013. We are grateful to Springer’s Lecture Notes inComputer Science (LNCS/LNAI) team for their generous support. We thankAlfred Hofmann and Anna Kramer of Springer for their help in coordinating thepublication of this special volume in an emerging and interdisciplinary researchfield.

October 2013 Kazuyuki ImamuraShiro Usui

Tomoaki ShiraoTakuji Kasamatsu

Lars SchwabeNing Zhong

Conference Organization

Honorary General Chair

Setsuo Ohsuga University of Tokyo, Japan

Conference General Chairs

Tomoaki Shirao Graduate School of Medicine, GunmaUniversity, Japan

Takuji Kasamatsu Maebashi Institute of Technology, Japan

Program Chairs

Kazuyuki Imamura Maebashi Institute of Technology, JapanShiro Usui Toyohashi University of Technology, Japan

Workshop/Special Session Chair

Lars Schwabe University of Rostock, Germany

AMT-BHI 2013 Organizing Chairs

Kazuyuki Imamura Maebashi Institute of Technology, JapanTetsumi Harakawa Maebashi Institute of Technology, JapanNing Zhong Maebashi Institute of Technology, Japan

Panel Chair

Stephen S. Yau Arizona State University, USA

Publicity Chairs

Shinichi Motomura Maebashi Institute of Technology, JapanDominik Slezak Infobright Inc., Canada & University of

Warsaw, PolandJian Yang Beijing University of Technology, China

X Conference Organization

WIC Co-chairs/Directors

Ning Zhong Maebashi Institute of Technology, JapanJiming Liu Hong Kong Baptist University, SAR China

IEEE-CIS TF-BI Chair

Ning Zhong Maebashi Institute of Technology, Japan

WIC Advisory Board

Edward A. Feigenbaum Stanford University, USASetsuo Ohsuga University of Tokyo, JapanBenjamin Wah The Chinese University of Hong Kong,

SAR ChinaPhilip Yu University of Illinois, Chicago, USAL.A. Zadeh University of California, Berkeley, USA

WIC Technical Committee

Jeffrey Bradshaw UWF/Institute for Human and MachineCognition, USA

Nick Cercone York University, CanadaDieter Fensel University of Innsbruck, AustriaGeorg Gottlob Oxford University, UKLakhmi Jain University of South Australia, AustraliaJianhua Ma Hosei University, JapanJianchang Mao Yahoo! Inc., USAPierre Morizet-Mahoudeaux Compiegne University of Technology, FranceHiroshi Motoda Osaka University, JapanToyoaki Nishida Kyoto University, JapanAndrzej Skowron University of Warsaw, PolandJinglong Wu Okayama University, JapanXindong Wu University of Vermont, USAYiyu Yao University of Regina, Canada

Program Committee

Samina Abidi Dalhousie University, CanadaSyed Sibte Raza Abidi Dalhousie University, CanadaSusanne Boll University of Oldenburg, GermanyMatt-Mouley Bouamrane University of Glasgow, UKW. Art Chaovalitwongse University of Washington, USAAndrzej Cichocki RIKEN Brain Science Institute, JapanFoad Dabiri UCLA, USA

Conference Organization XI

Xiaocong Fan The Pennsylvania State University, USAPhilippe Fournier-Viger University of Moncton, CanadaHassan Ghasemzadeh University of California Los Angeles, USAYike Guo Imperial College London, UKTakahiro Hara Osaka University, JapanFrank D. Hsu Fordham University, USABin Hu Lianzhou University, ChinaKazuyuki Imamura Maebashi Institute of Technology, JapanC.G. Johnson The University of Kent, UKHanmin Jung KISTI, Republic of KoreaYosky Kataoka RIKEN Center for Life Science Technologies,

JapanRenaud Lambiotte University of Namur, BelgiumKuan-Ching Li Providence University, TaiwanPeipeng Liang Xuanwu Hospital, Capital Medical University,

ChinaPawan Lingras Saint Mary’s University, CanadaXiaohui Liu Brunel University, UKYan Liu The Hong Kong Polytechnic University,

SAR ChinaAnthony Maeder University of Western Sydney, AustraliaHiroki Matsumoto Maebashi Institute of Technology, JapanKazuhiko Nakadate Meiji Pharmaceutical University, JapanGoran Nenadic University of Manchester, UKMasato Odagaki Maebashi Institute of Technology, JapanMiodrag Potkonjak University of California Los Angeles, USADavid M.W. Powers Flinders University, AustraliaZhihai Rong Donghua University, ChinaMajid Sarrafzadeh University of California Los Angeles, USAHideyuki Sawada Kagawa University, JapanLars Schwabe University of Rostock, GermanyTimothy K. Shih National Central University, TaiwanSadao Shiosaka Nara Institute of Science and Technology,

JapanDominik Slezak University of Warsaw and Infobright Inc.,

PolandNeil Smalheiser University of Illinois, USADiego Sona Italian Institute of Technology, ItalyPiotr S. Szczepaniak Technical University of Lodz, PolandXiaohui Tao University of Southern Queensland, AustraliaShusaku Tsumoto Shimane University, Japan

XII Conference Organization

Sunil Vadera University of Salford, UKEgon L. Van den Broek University of Twente / Karakter University

Center, The NetherlandsFrank van der Velde Leiden University, The NetherlandsFeng Wan University of Macau, SAR ChinaHongbin Wang The University of Texas, USAJian Yang Beijing University of Technology, ChinaYiyu Yao University of Regina, CanadaFabio Massimo Zanzotto University of Rome Tor Vergata, ItalyHaiyan Zhou Beijing University of Technology, China

Additional Reviewers

Sung-Pil ChoiMolly ClemensUsef Faghihi

Kilby SanchezJie Xiang

Table of Contents

Thinking and Perception-centric Investigationsof Human Information Processing System

Role of the Prefrontal Cortex (PFC) on Processing the Social StatisticalInformation: An fMRI Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

Mi Li, Haiping Wei, Yu Zhou, Pengfei Liu, Xingyu Su,Shengfu Lu, and Ning Zhong

The Role of Correlated Inhibitory Cell Firing . . . . . . . . . . . . . . . . . . . . . . . . 11Ichiro Sakurai, Shigeru Kubota, and Michio Niwano

Effects of Virtual Training on Emotional Response: A Comparisonbetween Different Emotion Regulation Strategies . . . . . . . . . . . . . . . . . . . . . 21

Tibor Bosse, Charlotte Gerritsen, Jeroen de Man, and Jan Treur

Effects of Category Labels on P300 in Facial Recognition . . . . . . . . . . . . . 33Pengfei Yan, Yoshiko Yabe, and Hiroaki Shigemasu

Analysis of Brain Areas Activated while Using Strategies to Improvethe Working Memory Capacity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

Tomoyuki Hiroyasu, Shogo Obuchi, Misato Tanaka, andUtako Yamamoto

The Change of Resting EEG in Depressive Disorders . . . . . . . . . . . . . . . . . 52Zhizhou Liao, Haiyan Zhou, Chuan Li, Jun Zhou, Yulin Qin,Yuan Feng, Lei Feng, Gang Wang, and Ning Zhong

Neural Mechanism of Mental Imagery in Problem Solving . . . . . . . . . . . . . 62Xiangsheng Shen, Haiyan Zhou, Fenfen Wang, Zhoujun Long,Jun Zhou, Chuan Li, Yulin Qin, Kuncheng Li, and Ning Zhong

Combining Two Visual Cognition Systems Using Confidence Radiusand Combinatorial Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72

Amy Batallones, Kilby Sanchez, Brian Mott,Cameron McMunn-Coffran, and D. Frank Hsu

Sex Differences in the Human Connectome . . . . . . . . . . . . . . . . . . . . . . . . . . 82Vivek Kulkarni, Jagat Sastry Pudipeddi, Leman Akoglu,Joshua T. Vogelstein, R. Jacob Vogelstein, Sephira Ryman, andRex E. Jung

Common and Dissociable Neural Substrates for 2-Digit Simple Additionand Subtraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92

Yang Yang, Ning Zhong, Kazuyuki Imamura, and Xiuya Lei

XIV Table of Contents

A Multi-agent Model for Supporting Exchange Dynamics in SocialSupport Networks during Stress . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103

Azizi Ab Aziz and Faudziah Ahmad

Information Technologies for Curating, Mining,Managing and Using Big Brain/Health Data

An Approximation Approach to Measurement Designin the Reconstruction of Functional MRI Sequences . . . . . . . . . . . . . . . . . . 115

Shulin Yan, Lei Nie, Chao Wu, and Yike Guo

Composite Kernels for Automatic Relevance Determinationin Computerized Diagnosis of Alzheimer’s Disease . . . . . . . . . . . . . . . . . . . . 126

Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, andSuresh Choubey

Extraction Algorithm of Similar Parts from Multiple Time-Series Dataof Cerebral Blood Flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138

Tomoyuki Hiroyasu, Arika Fukushma, and Utako Yamamoto

Peculiarity Oriented EEG Data Stream Mining . . . . . . . . . . . . . . . . . . . . . . 147Shinichi Motomura, Muneaki Ohshima, and Ning Zhong

Unsupervised Classification of Epileptic EEG Signals with Multi ScaleK-Means Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158

Guohun Zhu, Yan Li, Peng (Paul) Wen, Shuaifang Wang, andNing Zhong

Information Technologies for Healthcare

Argumentation Theory for Decision Support in Health-Care:A Comparison with Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168

Luca Longo and Lucy Hederman

Evaluating Functional Ability of Upper Limbs after Stroke Using VideoGame Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181

J.Q. Shi, Y. Cheng, J. Serradilla, G. Morgan, C. Lambden,G.A. Ford, C. Price, H. Rodgers, T. Cassidy, L. Rochester, andJ.A. Eyre

Optimization of Eddy Current Distribution Using Magnetic Substancein TMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

Masato Odagaki, Toshiyuki Taura, Yutaka Kikuchi, andKazutomo Yunokuchi

Telemedicine and Telemonitoring in Healthcare . . . . . . . . . . . . . . . . . . . . . . 201Salmah F.A. Alsgaer, Xiaohui Tao, Ji Zhang, Hua Wang, andZhi Guo

Table of Contents XV

Bottom Up Approach and Devolved Design of a Health InformationSystem: eHealth TABLET . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210

Ma. Regina Estuar, Dennis Batangan, Andrei Coronel,Anna Christine Amarra, and Francisco Castro

Data Analytics, Data Mining, and Machine Learning

Detrended Fluctuation Analysis of Photoplethysmography in DiabeticNephropathy Patients on Hemodialysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218

Yoshihiro Tsuji, Tetsuya Asakawa, Yasumasa Hitomi, Atsu Todo,Toshiko Yoshida, and Yuko Mizuno-Matsumoto

What We Found on Our Way to Building a Classifier: A CriticalAnalysis of the AHA Screening Questionnaire . . . . . . . . . . . . . . . . . . . . . . . 225

Quazi Abidur Rahman, Sivajothi Kanagalingam, Aurelio Pinheiro,Theodore Abraham, and Hagit Shatkay

Mining Clinical Pathway Based on Clustering and Feature Selection . . . . 237Haruko Iwata, Shoji Hirano, and Shusaku Tsumoto

Bayesian Network Based Heuristic for Energy Aware EEG SignalClassification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246

Abduljalil Mohamed, Khaled Bashir Shaban, and Amr Mohamed

Breast Cancer Identification Based on Thermal Analysisand a Clustering and Selection Classification Ensemble . . . . . . . . . . . . . . . 256

Bartosz Krawczyk, Gerald Schaefer, and Shao Ying Zhu

Diagnosis and Grading of Alzheimer’s Disease via AutomaticClassification of FDG-PET Scans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266

Ryan G. Benton, Suresh Choubey, David G. Clark,Tom Johnsten, and Vijay V. Raghavan

Applications

Development of a Wide-View Visual Presentation System for FunctionalMRI Studies of Peripheral Visual . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277

Bin Wang, Jinglong Wu, JiaJia Yang, Yuu Hikino,Satoshi Takahashi, Tianyi Yan, Seiichiro Ohno, andSusumu Kanazawa

An Attention Level Monitoring and Alarming System for the DriverFatigue in the Pervasive Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287

Zhijiang Wan, Jian He, and Alicia Voisine

PolyMorph: A P300 Polymorphic Speller . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297Alberto Casagrande, Joanna Jarmolowska, Marcello Turconi,Francesco Fabris, and Piero Paolo Battaglini

XVI Table of Contents

Health Condition Alarm System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307Maiga Chang, Ebenezer Aggrey, Mehadi Sayed, and Kinshuk

Fuzzy Linguistic Preference Relations Approach: Evaluation in Qualityof Healthcare . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316

Pei-Jung Yang and Tsung-Han Chang

Physiological Diagnosis and Rehabilitation for the Alzheimer TypeDementia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324

Ichiro Fukumoto

Workshop on Mental Healthcare with ICT

A Humanoid Robot Used as an Assistive Intervention Tool for Childrenwith Autism Spectrum Disorder: A Preliminary Research . . . . . . . . . . . . . 336

Mingqi Zhao, Qinglin Zhao, Quanying Liu, Na Li, Hong Peng, andBin Hu

Web Use Behaviors for Identifying Mental Health Status . . . . . . . . . . . . . . 348Ang Li, Fan Zhang, and Tingshao Zhu

Developing Simplified Chinese Psychological Linguistic AnalysisDictionary for Microblog . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359

Rui Gao, Bibo Hao, He Li, Yusong Gao, and Tingshao Zhu

Workshop on Granular Knowledge Discoveryin Biomedical and Active-Media Environments

Strategies for Creative Argumentation: Learned from Logs of InnovatorsMarket Game . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369

Yukio Ohsawa, Hiroyuki Kido, Teruaki Hayashi, Masahiro Akimoto,Masanori Fujimoto, and Masaki Tamada

On a Possibility of Applying Interrelationship Mining to GeneExpression Data Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379

Yasuo Kudo, Yoshifumi Okada, and Tetsuya Murai

How to Design a Network of Comparators . . . . . . . . . . . . . . . . . . . . . . . . . . . 389�Lukasz Sosnowski and Dominik Sl ↪ezak

Algorithmic Granularity with Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . 399Roussanka Loukanova

Incremental Induction of Medical Diagnostic Rules . . . . . . . . . . . . . . . . . . . 409Shusaku Tsumoto and Shoji Hirano

Table of Contents XVII

Special Session on Human Centered Computing

Selecting Suitable Image Retargeting Methods with Multi-instanceMulti-label Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418

Muyang Song, Tongwei Ren, Yan Liu, Jia Bei, and Zhihong Zhao

Towards Thought Control of Next-Generation Wearable ComputingDevices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427

Courtney Powell, Masaharu Munetomo, Martin Schlueter, andMasataka Mizukoshi

Developing a Brain Informatics Provenance Model . . . . . . . . . . . . . . . . . . . 439Han Zhong, Jianhui Chen, Taihei Kotake, Jian Han,Ning Zhong, and Zhisheng Huang

Communication Board for Disabilities in HTML5 . . . . . . . . . . . . . . . . . . . . 450Tracy T.W. Ho, Toby H.W. Lam, and King-Hong Cheung

Special Session on Neuro-Robotics

Analysis of the Relationship between Load and EEG by WaveletTransform for BMI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 459

Kazuhiro Uemto, Masataka Yoshioka, Yuichiro Yoshikawa, andChi Zhu

Multi–command Chest Tactile Brain Computer Interface for SmallVehicle Robot Navigation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469

Hiromu Mori, Shoji Makino, and Tomasz M. Rutkowski

Optimizing the Individual Differences of EEG Signals through BPNeural Network Algorithm for a BCI Dialing System . . . . . . . . . . . . . . . . . 479

Dongxue Lin, Feng Duan, Wenyu Li, Jingyao Shen,Qing Mei Wang, and Xun Luo

An Examination of Gender Differences in Mu Rhythmof the Mirror-Neuron System during the Imagination of ObservedAction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489

Sakiko Ogoshi, Yasuhiro Ogoshi, Tomohiro Takezawa, andYoshinori Mitsuhashi

Special Session on Intelligent Healthcare DataAnalytics

Feature Weighted Kernel Clustering with Application to Medical DataAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 496

Hong Jia and Yiu-ming Cheung

XVIII Table of Contents

Knowledge Extraction and Mining in Biomedical Research Using RuleNetwork Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506

S.W. Chan, C.H.C. Leung, and A. Milani

Online Learning towards Big Data Analysis in Health Informatics . . . . . . 516Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung,Haibo Hu, and Fangqing Gu

A Complex Systems Approach to Infectious Disease Surveillanceand Response . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 524

Benyun Shi, Shang Xia, and Jiming Liu

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 537