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HBU@ICPR 2022 : 12th International Workshop on Human Behavior Understanding (HBU)


When Aug 21, 2022 - Aug 25, 2022
Where Montreal, Canada
Submission Deadline May 3, 2022
Notification Due Jun 1, 2022
Final Version Due Jun 24, 2022
Categories    human behavior understanding   clinical sciences   behavioral sciences   applications

Call For Papers


12th International Workshop on Human Behavior Understanding (HBU)
Focus theme: Applications for Clinical and Behavioral Sciences

Held in conjunction with ICPR 2022
Workshop website:

Paper submission deadline: May 3rd, 2022
Notifications: June 1st, 2022
Early-bird registration deadline: June 6th, 2022
Camera-ready submission deadline: June 24th, 2022
Workshop: August 21st/25th, 2022 (to be confirmed)


Albert Ali Salah, Universiteit Utrecht, Netherlands, and Boğaziçi University, Turkey
Sergio Escalera, Universitat de Barcelona and Computer Vision Center, Spain
Cristina Palmero, Universitat de Barcelona and Computer Vision Center, Spain
Henning Müller, HES-SO, Switzerland
Hugo Jair Escalante, Instituto Nacional de Astrofísica, Óptica y Electrónica, México

Domains for human behavior understanding (e.g. multimedia, human-computer interaction, robotics, affective computing and social signal processing) predominantly rely on advanced pattern recognition techniques to automatically interpret complex behavioral patterns generated when humans interact with machines or with other agents. This is a challenging research area where many issues are still open, including the joint modeling of behavioral cues taking place at different time scales, the inherent uncertainty of machine detectable evidences of human behavior, the mutual influence of people involved in interactions, the presence of long term dependencies in observations extracted from human behavior, and the important role of dynamics in human behavior understanding. For clinical and behavioral sciences, not only accurate behavior analysis is essential, but further aspects like explainability, privacy-aware processing, and fairness are often required. The development of explainable and interpretable models for social behavior analysis would result in more trustable solutions that could be adopted by domain experts for informed decision making. Furthermore, public datasets are often difficult to obtain and share in a privacy-aware manner (particularly during Covid-19), which hampers scientific progress.

This workshop, organised as part of ICPR 2022, will gather researchers dealing with the problem of modeling human behavior under its multiple facets (expression of emotions, display of relational attitudes, performance of individual or joint actions, etc.), with particular attention to clinical settings and tools usable for behavioral scientists. Examples of challenges are automatic labeling, annotation, and reporting systems, datasets acquired from real or simulated clinical conditions, systems that focus on the analysis of interaction dynamics, early diagnosis and intervention systems, augmented telepresence, personalized agents, and multimodal approaches.

The HBU workshops, previously organized as satellite events to major conferences in different disciplines (ICPR'10, AMI'11, IROS'12, ACMMM'13, ECCV'14, UBICOMP'15, ACMMM'16, FG'18, ECCV'18, ICCV'19, WACV'21) have a unique aspect of fostering cross-pollination of disciplines, bringing together researchers from a variety of fields, such as computer vision, pattern recognition, HCI, artificial intelligence, interaction design, ambient intelligence, social signal processing, psychology, and robotics. The diversity of human behavior, the richness of multimodal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform.

The topics for submission include all papers relevant to the automatic analysis and modeling of human behavior. These include, but are not limited to:
Applications of human behavior analysis for clinical and behavioral sciences
Explainable and interpretable models for the analysis of human behavior
Detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics
Verbal / nonverbal communication analysis
Contextual analysis in interpersonal interactions
Datasets, annotation protocols and bias discovering/mitigation methods
Multimodal human behavior analysis
Fairness in human behavior analysis
Privacy-aware processing of human behavior
Clinical datasets and validity
Social behaviour analysis
Affective computing
Human-computer interaction
Behavioral biometrics

Juan Wachs, Purdue University, USA
Ehsan Hoque, University of Rochester, USA

Submission instructions can be found at

Please feel free to reach out for further details.

Albert Ali Salah, Sergio Escalera, Cristina Palmero, Henning Müller, Hugo Jair Escalante
HBU 2022 Organizers

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