International Conference on Activity and Behavior Computing May. 30 - Jun. 2, 2019, Spokane Campus, Eastern Washington University, USA In conjunction with ICIEV&IVPR2019
Mathias Ciliberto, Luis A Ponce Cuspinera and Daniel Roggen,
"WLCSSLearn: Learning Algorithm for Template Matching-based Gesture Recognition Systems"
Nattaya Mairittha and Sozo Inoue,
"Crowdsourcing System Management for Activity Data with Mobile Sensors"
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.
You can see the full program from HERE.
We welcome full technical papers, as well as concept papers related to ABC research. Technical papers describe the accuracy and performance of ABC Systems, real deployment cases or application of new paradigms such as deep learning to ABC. Concept papers describe the challenges and future directions of ABC based on problems that arise when systems are deployed in real settings.
The submitted papers are peer reviewed by experienced researchers, and accepted based on the research quality. To accept various research stages, an accepted paper can be either published in IEEE proceedings + USB, Open web + USB, or USB only upon authors' preference.
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Sozo Inoue, Kyushu Institute of Technology / Riken, Japan
Atiqur Rahman Ahad, University of Dhaka, Bangladesh / Osaka University, Japan
Ren Ohmura, Toyohashi University of Technology, Japan
Kazuya Murao, Ritsumeikan University, Japan
Paula Lago, Kyushu Institute of Technology, Japan
Tsuyoshi Okita, Kyushu Institute of Technology, Japan
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
Tahera Hossain, Kyushu Institute of Technology, Japan
Moe Matsuki, Kyushu Institute of Technology, Japan
Kristof Van Laerhoven, University of Siegen, Germany
Daniel Roggen, University of Sussex, UK
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, Kyushu Institute of Technology, Japan
Kaori Fujinami, Tokyo University of Agriculture and Technology, Japan
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, Karlsruhe Institute of Technology, Germany
Kristina Yordanova, University of Rostock, Germany
Trung Thanh NGO, Osaka University, Japan
Ricky J Sethi, Fitchburg State University, USA
Meng Joo, Nanyang Technological University, Singapore
Ikuhisa Mitsugami, Hiroshima City University, Japan
Mohiuddin Ahmad Khulna, University of Engineering & Technology, Bangladesh
Upal Mahbub, University of Meryland, College Park, USA
Atsushi Shimada, Kyushu University, Japan
