12th International Workshop on Human Behavior Understanding (HBU) 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: https://www.cmpe.boun.edu.tr/hbu/2022/

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 Bogaziçi 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