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B4SCW 2023 : 1st Behavioral Digital Twins for Smart Cities Workshop @ FG2023


When Jan 4, 2023 - Jan 8, 2023
Where Waikoloa Hawaii, USA
Submission Deadline Oct 12, 2022
Notification Due Oct 19, 2022
Final Version Due Oct 31, 2022

Call For Papers

!!The deadline has been extended to October 12.!!

1st Behavioral Digital Twins for Smart Cities Workshop
Co-located with FG 2023 & WACV 2023
Dates: January 6, 2023 (half day workshop in the afternoon)
Place: Waikoloa Hawaii, USA (Co-located with WACV 2023)
CMT is open:


Digital twin is a virtual environment that allows us to simulate real world problems. For digital twin, one of the most important factors is human behavior modeling since it is required by many digital twin applications, such as crime and accident prevention, mitigation strategies in natural disasters, autonomous driving, health coaching and sports simulation. However, because of the complexity of human behavior, there are still many challenges unsolved. To address the challenges, multiple research fields need to be involved together, including computer vision, behavior science, human-computer interaction, and AR/VR. This topic is germane to both computer vision and computational behavior communities.

In this workshop, we aim to facilitate further discussion on this emerging research field from both technological and application perspectives. The outcomes of this workshop are relevant to building behavioral digital twins of pedestrians in smart cities equipped with sensor networks. During natural disasters, such as the COVID-19 pandemic, modeling behavioral patterns may lead to mitigation policies with greater efficiency and effectiveness, can identify cost-effective solutions to deliver public services, improve government accountability vis-`a-vis citizens and track progress and impact. This workshop will serve as a catalyst to bring diverse stakeholders together so that new scientific languages/thoughts can be established, to address the societal challenges of creating behavior sensing systems that account for the diversity of people and their environments.

In this workshop, the topics of interest include but are not limited to:

- Human pose estimation/tracking
- Human action recognition
- Human pose/action/trajectory forecasting
- Visualizations of human trajectory/action
- Human-human interaction analysis/forecasting
- Human-object interaction detection/forecasting
- Multi-sensor fusion for human behavior understanding
- Applications of human behavior understanding/forecasting

All accepted papers will be published as part of IEEE FG2023 proceedings and will be included in IEEE Xplore, therefore, should follow the same paper guidelines of the conference.

For paper submission, please use the CMT site:

October 12 (Extended), 2022: Submission of full paper
October 19(Extended), 2022: Notification of acceptance
October 31, 2022: Camera-ready full paper

Koichiro Niinuma, Fujitsu Research of America, USA
Laszlo A. Jeni, Carnegie Mellon University, USA
Takahisa Yamamoto, Fujitsu Research of America, USA
Ryosuke Kawamura, Fujitsu Limited, Japan

Related Resources

EI-ISEEIE 2023   2023 International Symposium on Electrical, Electronics and Information Engineering(ISEEIE 2023)
Machines - SI 2023   Special Issue - Advances in Digital Twin Technology in the Manufacturing Field
MDPI-SI on DT & FIE in Ed--Scopus,JCI 2023   MDPI Education Sciences Journal - Special Issue on Digital Twins and Future Intelligent Educational Environments
DT4CS 2023   Special Issue on Digital Twins for Complex Systems in Big Data and Cognitive Computing Journal
Learning & Optimization 2023   ASCE EMI Minisymposium on Probabilistic Learning, Stochastic Optimization, and Digital Twins
Robotics for Smart Cities 2023   Intelligent Robotics for Smart Cities
ICITSC 2022   2022 International Conference on Intelligent Transportation and Smart Cities
Smart Cities 2022   Smart Cities: Enabling Technologies and Applications
Smart Cities 2022   Smart Cities: Urban Profiling with Artificial Intelligence and Big Data
IEEE Journal of Selected Topics in Appli 2023   Security and Privacy-preserving Solutions on Remote Sensing Data of Smart Cities