[Announcements] Call for Paper: ABC 2022 (Activity and Behavior Computing)

[Anja Exler]

---------- CALL FOR PAPERS -----------

The 4th International Conference on Activity and Behavior Computing
October 27th - 29th, 2022, London, United Kingdom (Hybrid)
https://abc-research.github.io/

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.

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).
Selected papers will be invited to submit to the Pattern Recognition 
Letters journal (5-Year Impact Factor: 2.350) and to International 
Journal on Computer Vision and Signal Processing.

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 (TBA) for details.
• Position papers: describe the challenges and future directions of ABC 
based on problems that arise when systems are deployed in real settings.

IMPORTANT DATES
[Regular/Survey/Position] Paper submission: June 30th, 2022
Review result: August 1st, 2022
Resubmission for conditionally accepted paper: August 15th, 2022
[Challenge] Application close: July 15th, 2022
[Challenge] Result submission: August 1st, 2022
[Challenge] Paper submission: August 10th, 2022
[Challenge] Review result: August 25th, 2022
[Regular/Survey/Position/Challenge] Camera ready and Registration: 
August 28th, 2022
Conference: Oct. 27th - 29th, 2022

COMMITTEE

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

PROGRAM CHAIRS
- Stephan Sigg, Aalto University, Finland
- Guillaume Lopez, Aoyama Gakuin University, Japan

PUBLICITY CHAIRS
- Paula Lago, Kyushu Institute of Technology, Japan
- Anja Exler, Adastra, Germany

PUBLICATION CHAIR
- Tahera Hossain, Aoyama Gakuin University, Japan

ADVISORY BOARD
- Paul Lukowicz, DFKI, Germany
- Kristof Van Laerhoven, University of Siegen, Germany
- Michael Beigl, Karlsruhe Institute of Technology, Germany
- Jeffry Cohn, University of Pittsburgh, USA
- Anind Dey, University of Washinton, USA
- Nobuo Kawaguchi, Nagoya University, Japan

TRAILER VIDEOS
https://www.youtube.com/watch?v=rZTN9A3guhQ
https://www.youtube.com/watch?v=7Pr-kZEqHVA
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