International Conference on Activity and Behavior Computing Oct. 20th - 23rd, 2021, Knowledge Exchange Center (KX), Bangkok, Thailand

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.

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.


  • 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


  • 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.


  • 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 for ICIEV2020 (button below) and select the ABC. TBA.
  • Note that the author information should be removed from the paper, for double blind reviews.

Important dates

[Challenge] Registration


Jul. 1st, 2021 (Anywhere on Earth)!

[Regular/Survey/Position] Paper submission


Jul. 2nd, 2021 (Anywhere on Earth)!

[Challenge] Result submission


Aug. 1st, 2021 (Anywhere on Earth)!

[Challenge] Paper submission


Aug. 1st, 2021 (Anywhere on Earth)!

[Challenge] Review result


Aug. 23rd, 2021

Review result


Aug. 23rd, 2021

Resubmission for conditionally accepted paper


Sep. 1st, 2021

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


Sep. 7th, 2021



Oct. 20th - 23rd, 2021


ABC2021 will be held at Knowledge Exchange Center (KX), Bangkok, Thailand, Japan. KX is the exchange center for academia and start-up.

For more information, please see here.


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