The 3rd International Conference on Activity and Behavior Computing Oct. 22nd - 23rd, 2021, Knowledge Exchange Center (KX), Bangkok, Thailand (Changed to Online)

Welcome to ABC2021!


Human Activity Recognition has been researched in thousands of papers so far, with mobile / environmental sensors in ubiquitous / pervasive domains, and with cameras in vision domains. As well, Human Behavior Analysis is also explored for long-term health care, rehabilitation, emotion recognition, human interaction, and so on. However, many research challenges remain for realistic settings, such as complex and ambiguous activities / behavior, optimal sensor combinations, (deep) machine learning, data collection, platform systems, and killer applications.

In this conference, we comprehend such research domains as ABC: Activity and Behavior Computing, and provide an open and a confluent place for discussing various aspects and the future of the ABC.

Keynotes


Björn W. Schuller, Fellow IEEE

Imperial College London / UK and University of Augsburg / Germany

Multimodal Sentiment Analysis: Explore the No Pain, Big Gain Shortcut

Multimodal Sentiment Analysis usually comes at massive cravings for labelled data. And, this data is best digested by deep nets well prepared by expert chefs who know their job all too well. For each modality flavour such as audio, text, video, or even physiology, a different recipe is best suited, and this is best topped by some fancy well-fitting multimodal fusion layers or techniques. This makes one wonder if there was any short-cut to perfect Multimodal Sentiment Analysis ideally saturating with little portions of data and preparable even by the domain layman. In other words: Can we solve sentiment analysis with minimal labelling effort and some black-box AI that takes it all from there, even if the data is largely heterogenous in terms of involved modalities. This talk invites to explore such an avenue with the steps of self-learning representations, coupling analysis and synthesis of sentiments for data augmentation, and autonomously learning reinforced, cross-modally, and self-supervised at scale. It will be garnished by insights into recent challenges organised by the presenter including MuSe and Interspeech ComParE. If all goes well, we shall arrive soon at instant multimodal sentiment analysis that fully satisfies.

Björn W. Schuller

Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany. He is Full Professor of Artificial Intelligence and the Head of GLAM - the Group on Language, Audio, & Music - at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an Audio Intelligence company based near Munich and in Berlin/Germany, Guest Professor at Southeast University in Nanjing/China and permanent Visiting Professor at HIT/China amongst other Professorships and Affiliations. Previous stays include Full Professor at the University of Passau/Germany, Key Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the BCS, Fellow of the ISCA, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 1,000+ publications (40k+ citations, h-index=91), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community. His 30+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. First-in-the-field of Affective Computing and Sentiment analysis challenges such as AVEC, Interspeech ComParE, or MuSe have been initiated and by now organised overall more than 25 times by him. He is an ERC Starting and DFG Reinhart-Koselleck Grantee, and consultant of companies such as Barclays, GN, Huawei, Informetis, or Samsung.


Koichi Kise

Osaka Prefecture University / Japan

Reading of Reading for Actuating: Augmenting Human Learning by Experiential Supplements

Reading is a fundamental activity for learning languages. By “reading” a reading behavior of a learner, we can know the level of the learner’s knowledge and mental states. The result of “reading” can be used to improve learners’ behavior by using various actuators, i.e., methods of giving feedback. In general, effective actuators depend on learners and thus can be found by analyzing the experience of learning. In my talk, I introduce recent results of the project called “experiential supplements,” focusing on application to language learning. By analyzing human experiences, we obtain pieces of information called experiential supplements, which make it easier to follow other learners’ successful learning experiences. As a result, learners can learn a language more efficiently and effectively.

Koichi Kise

Koichi Kise received B.E., M.E., and Ph.D. degrees in communication engineering from Osaka University, Osaka, Japan, in 1986, 1988 and 1991, respectively. From 2000 to 2001, he was a visiting researcher at German Research Center for Artificial Intelligence (DFKI), Germany. He is now a professor of the Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Japan. With Prof. Andreas Dengel, DFKI, he founded in 2008 the Institute of Document Analysis and Knowledge Science (IDAKS), Osaka Prefecture University, and now works as the director. He has received awards including best paper awards of three major international conferences in the field of document analysis, i.e., ICDAR (international conf. on document analysis and recognition, in 2007 and 2013), DAS (document analysis systems, in 2010) and ICFHR (international conf. on frontiers in handwriting recognition, in 2010). He was the chair of IAPR TC11 (reading systems, 2012-2016), and a member of IAPR conferences and meetings committee. He has been an Editor-in-Chief of International Journal of Document Analysis and Recognition. He also worked for international conferences including as the general chair of ICDAR2017, a track chair of the document analysis track of ICPRs (2012, 2018), and a program co-chair of ICDAR2013, 2015 and ACPR2013, 2015. His research interests are in the areas of document analysis, human behavior analysis and learning augmentation.

Program


Abstract proceedings

You can get the paper abstracts from HERE.

Full paper PDFs are available to registered participants and will be published at the Springer soon.

Schedule

You can import to your calendar in your timezone from the [+] below.

Program

Times are in JST


Oct. 22nd (Fri.), 2021

Opening, 13:00-13:10

Session 1: Regular papers, 13:10-14:10

      Chair: Kazuya Murao, Ritsumeikan University, Japan
      BoxerSense: Punch Detection and Classification Using IMUs, Yoshinori Hanada (Aoyama Gakuin University)*
      Using LUPI to Improve Complex Activity Recognition, Kohei Adachi (Kyushu Institute of Technology)*; Paula Lago (Universidad Nacional Abierta y a Distancia); Yuichi Hattori (Kyushu Institute of Technology); Sozo Inoue (Kyushu Institute of Technology)
      A data-driven approach for online pre-impact fall detection with wearable devices, Takuto Yoshida (Nagoya University)*

Session 2: Challenge + Awards, 14:20-15:50

      Chair: Sozo Inoue, Kyushu Institute of Technology
      Lunch-Box Preparation Activity Understanding from MoCap Data Using Handcrafted Features, Yeasin Arafat (University of Dhaka); Md. Sohanur Rahman (University of Dhaka); Hasib Ryan Rahman (University of Dhaka); M. Ashikuzzaman Kowshik (University of Dhaka)*; Md Atiqur Rahman Ahad (University of Dhaka)
      Identification of Food Packaging Activity Using MoCap Sensor Data, Adrita Anwar (University of Dhaka); Malisha Islam Tapotee (University of Dhaka); Purnata Saha (University of Dhaka)*; Md Atiqur Rahman Ahad (University of Dhaka)
      Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?, Promit Basak (University of Dhaka)*; A.H.M Nazmus Sakib (University of Dhaka); Shahamat Mustavi Tasin (University of Dhaka); Syed Doha Uddin (University of Dhaka); Md Atiqur Rahman Ahad (University of Dhaka)
      Summary of the Bento Packaging Activity Recognition Challenge, Kohei Adachi (Kyushu Institute of Technology)*; Shamma Alia (Kyushu Institute of Technology); Nazmun Nahid (Kyushu Institute of Technology); Haru Kaneko (Kyushu Institute of Technology); Paula Lago (Universidad Nacional Abierta y a Distancia); Sozo Inoue (Kyushu Institute of Technology)
      Bento Packaging Activity Recognition Based on Statistical Features, Faizul Rakib Sayem (University of Dhaka)*; Md. Mamun Sheikh (University of Dhaka); Md Atiqur Rahman Ahad (University of Dhaka)
      Using k-Nearest-Neighbours Feature Selection for Activity Recognition, Björn Friedrich (Carl von Ossietzky Universität)*; Tetchi Ange-Michel Orsot (unaffiliated); Andreas Hein (Carl von Ossietzky Universität)
      Bento Packaging Activity Recognition from Motion Capture Data, Jahir Ibna Rafiq (University of Asia Pacific)*; Shamaun Nabi (University of Asia Pacific); Al Amin (University of Asia Pacific); Shahera Hossain (University of Asia Pacific)
      Bento Packaging Activity Recognition with Convolutional LSTM using Autocorrelation Function and Majority Vote, Atsuhiro Fujii (Ritsumeikan University)*; Kazuki Yoshida (Ritsumeikan University); Kiichi Shirai (Ritsumeikan University); Kazuya Murao (Ritsumeikan University)

Session 3: Regular papers, 16:00-17:00

      Chair: Michael Beigl, Karlsruhe Institute of Technology, Germany
      Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device, Sizhen Bian (DFKI)*; Siyu Yuan (TU Kaiserslautern); Vitor Fortes Rey (DFKI); Paul Lukowicz (DFKI GmbH, Germany)
      Open-Source Data Collection for Activity Studies at Scale, Alexander Hoelzemann (University of Siegen)*; Kristof Van Laerhoven (University of Siegen); Jana Sabrina Pithan (University Of Vechta)
      Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data, Yusuke Nishimura (Kyushu Institute of Technology)*; Tahera Hossain (Kyushu Institute of Technology); Akane Sano (Rice University); Shota Isomura (NTT Data Institute of Management Consulting); Yutaka Arakawa (Kyushu University); Sozo Inoue (Kyushu Institute of Technology)

Keynote 1, 17:00-18:00

      Chair: Anton Nijholt, University of Twente, The Netherlands
      Björn W. Schuller, Fellow IEEE (Imperial College London/UK and University of Augsburg/Germany), Multimodal Sentiment Analysis: Explore the No Pain, Big Gain Shortcut

Networking, 18:00-18:20


Oct. 23rd (Sat.), 2021

Session 4: Regular papers, 13:00-14:00

      Chair: Takuro Yonezawa, Nagoya University, Japan
      FootbSense: Soccer Moves Identification Using a Single IMU, Yuki Kondo (Aoyama Gakuin University); Shun Ishii (Aoyama Gakuin University)*; Hikari Aoyagi (Aoyama Gakuin University); Tahera Hossain (Aoyama Gakuin University); Anna Yokokubo (Aoyama Gakuin University); Guillaume Lopez (Aoyama Gakuin University)
      Modeling Reminder System for Dementia by Reinforcement Learning, Muhammad Fikry (Kyushu Institute of Technology)*; Nattaya Mairittha (Kyushu Institute of Technology); Sozo Inoue (Kyushu Institute of Technology)
      Attempts toward Behavior Recognition of the Asian Black Bears using an Accelerometer, Kaori Fujinami (Tokyo University of Agriculture and Technology)*; Tomoko Naganuma (Tokyo University of Agriculture and Technology); Yushin Shinoda (Tokyo University of Agriculture and Technology); Koji Yamazaki (Tokyo University of Agriculture); Shinsuke Koike (Tokyo University of Agriculture and Technology)

Session 5: Work in Progress, 14:10-15:00

      Guillaume Lopez, Aoyama Gakuin University, Japan
      A Method for Action Quality Analysis from Skeleton Data of Rehabilitation Exercises, Faizul Rakib Sayem (University of Dhaka)*; Md. Mamun Sheikh (University of Dhaka); Md Atiqur Rahman Ahad (University of Dhaka)
      Examination of analogy method of degree of interest in news articles by gaze information, Takuya Ogawa (Ehime University)*; Keiichi Endo (Ehime University); Hisayasu Kuroda (Ehime University); Shinya Kobayashi (Ehime University)
      A Comparative Analysis on Joint's Importance to Achieve Better Performance in Behavior Analysis in Human-Robot Collaborative Workspace, Nazmun Nahid (Kyushu Institute of Technology)*; Shotaro Yoshinaga (Kyushu Institute of Technology); Sozo Inoue (Kyushu Institute of Technology)
      Human Activity Recognition Based on Wavelet-Based Features along with Feature Prioritization, Mahmudul Hasan Abid (Khulna University); Abdullah-Al Nahid (Khulna University, Khulna-9208, Bangladesh)*
      Recognizing Human Actions Utilizing Relative Velocity of Skeleton Joints through Statistical Features, Anindya Das Antar (University of Dhaka); Masud Ahmed (University of Dhaka); Md Atiqur Rahman Ahad (University of Dhaka)*

Session 6: Panel: The Future of Activity and Behavior Computing, 15:10-17:10

      Chair: Md Atiqur Rahman Ahad, University of Dhaka
      Stephan Sigg, Aalto University, Finland
      Takuro Yonezawa, Nagoya University, Japan
      Paula Lago, Universidad Nacional Abierta y a Distancia, Colombia
      Yu Enokibori, Nagoya University, Japan
      Kristof Van Laerhoven, University of Siegen, Germany
      Atsushi Nakazawa, Kyoto University, Japan
      Phond Phunchongharn, KMUTT, Thailand
      Christopher Nugent, Ulster University
      Guillaume Lopez, Aoyama Gakuin University, Japan
      Hristijan Gjoreski, Ss. Cyril and Methodius University, Macedonia

Keynote 2, 17:10-18:10

      Chair: Kaori Fujinami, Tokyo University of Agriculture and Technology
      Koichi Kise (Osaka Prefecture University/Japan), Reading of Reading for Actuating: Augmenting Human Learning by Experiential Supplements

Awards + Closing, 18:10-18:30

Networking, 18:30-18:50


Registration


Please do registration from below.

  • Non-Student Author/Participant: USD200
  • Student Author: USD100
Registration Type

Call for Papers


We welcome 4 categories of papers: regular papers, position papers, survey papers, and challenge papers. The submitted papers are peer reviewed by expert researchers, and accepted based on the research quality.

Accepted papers will be included in the Smart Innovation, Systems and Technologies series of Springer books (Indexed in ISI Proceedings, EI-Compendex, SCOPUS, Google Scholar and Springerlink).

Scope

  • Mobile sensor-based ABC
  • Environmental sensor-based ABC
  • Vision-based ABC
  • Multimodal ABC
  • Physical / semantic analysis of ABC
  • Gait analysis
  • Sleep analysis
  • Emotion recognition / analysis
  • ABC with deep learning
  • ABC data mining
  • Data collection
  • ABC systems
  • Interactive ABC
  • Healthcare applications
  • Sports applications
  • Business applications
  • Tools for industry
  • ABC in the wild

Categories

  • Regular papers: full technical contents which describe the accuracy and performance of ABC Systems, real deployment cases or application of new paradigms such as deep learning to ABC.
  • Survey papers: new perspective or new challenges in ABC based on literature survey. We do not welcome just compilations of existing research, but do if it provides new research horizons.
  • Challenge papers: we will provide a dataset and accept results for activity recognition and papers describing the methods and the results. Please see the Challenge Site) for details.
  • Position papers: describe the challenges and future directions of ABC based on problems that arise when systems are deployed in real settings.

Format

  • Regular papers: 8-20 pages in single column
  • Survey papers: 10-20 pages in single column
  • Challenge papers: 4-10 pages in single column
  • Position papers: 4-10 pages in single column
  • Please use Springer Contributed Book format (button below for the LaTeX template).
  • Submit from Microsoft CMT service (button below) and select the ABC.
  • Note that the author information should be removed from the paper, for double blind reviews.

Important dates

[Regular/Survey/Position] Paper submission

  :  

Aug. 20th, 2021 (Extended!) (Anywhere on Earth)!

Review result

  :  

Sep. 10th, 2021

Resubmission for conditionally accepted paper

  :  

Sep. 24th, 2021

[Challenge] Application

  :  

Aug. 17th, 2021 (Extended!) (Anywhere on Earth)!

[Challenge] Result submission

  :  

Aug. 17th, 2021 (Anywhere on Earth)!

(Challenge) Paper submission

  :  

Aug. 20th, 2021 (Anywhere on Earth)!

(Challenge) Review result

  :  

Sep. 2nd, 2021

[Regular/Survey/Position/Challenge] Camera ready and Registration

  :  

Oct. 1st, 2021

Conference

  :  

Oct. 22nd - 23rd, 2021

Venue


ABC2021 will be held at Knowledge Exchange Center (KX), Bangkok, Thailand (Changed to Online).

Committee


General Chairs

Sozo Inoue, Kyushu Institute of Technology / AUTOCARE LLC, Japan
Atiqur Rahman Ahad, University of Dhaka, Bangladesh / Osaka University, Japan

Program Chairs

Daniel Roggen, University of Sussex, UK
Kaori Fujinami, Tokyo University of Agriculture and Technology, Japan

Publicity Chairs

Paula Lago, Kyushu Institute of Technology, Japan
Anja Exler, Adastra, Germany
Hiroki Watanabe, Hokkaido University, Japan

Publication Chair

Tahera Hossain, Aoyama Gakuin University, Japan

Local Organization Chair

Phond Phunchongharn, KMUTT, Thailand

Advisory Board

Paul Lukowicz, DFKI, Germany
Kristof Van Laerhoven, University of Siegen, Germany
Daniel Roggen, University of Sussex, UK
Michael Beigl, Karlsruhe Institute of Technology, Germany
Jeffry Cohn, University of Pittsburgh, USA
Anind Dey, University of Washinton, USA
Nobuo Kawaguchi, Nagoya University, Japan

Secretaries

Nattaya Mairittha, Kyushu Institute of Technology, Japan
Tittaya Mairittha, Kyushu Institute of Technology, Japan

Program Committee

Ren Ohmura, Toyohashi University of Technology, Japan
Kazuya Murao, Ritsumeikan University, Japan
Kristof Van Laerhoven, University of Siegen, Germany
Susanna Pirttikangas, University of Oulu, Finland
Philipp M. Scholl, University of Freiburg, Germany
Hristijan Gjoreski, Ss. Cyril and Methodius University, Macedonia
Katsuhiko Kaji, Aichi Institute of Technology, Japan
Tsuyoshi Okita, Kyushu Institute of Technology / Riken, Japan
Paula Lago, Universidad Nacional Abierta y a Distancia, Colombia
Stephan Sigg, Aalto University, Finland
Hiroki Watanabe, Hokkaido University, Japan
Pascal Hirmer, University of Stuttgart, Germany
Shigeyuki Miyagi, The University of Shiga Prefecture, Japan
Yu Enokibori, Nagoya University, Japan
Anja Exler, Adastra, Germany
Kristina Yordanova, University of Rostock, Germany
Trung Thanh NGO, Osaka University, Japan
Upal Mahbub, University of Meryland, College Park, USA
Atsushi Shimada, Kyushu University, Japan
Guillaume Lopez, Aoyama Gakuin University, Japan
Atsushi Nakazawa, Kyoto University, Japan
Liming Chen, Ulster University, UK
Christopher Nugent, Ulster University, UK
François Charpillet, INRIA, France
Maria Del Pilar Villamil Giraldo, University of Los Andes, Colombia
Takuro Yonezawa, Nagoya University, Japan
Anna Yokokubo, Aoyama Gakuin University, Japan
Yuuki Nishimura, University of Tokyo, Japan

Series