1st International Workshop on Adaptive Biometric Systems: Beyond One-Size-Fits-All Models (ABS 2026) Call for Papers

Call for Papers - 
1st International Workshop on Adaptive Biometric Systems: Beyond One-Size-Fits-All Models (ABS 2026)

Website: https://www.abs2026-workshop.org/


In conjunction with the 22nd International Conference on Advanced
Visual and Signal-Based Systems (AVSS2026)


31 August -1, 2, 3 September 2026 Lecce, Italy.


AVSS 2026 will be a hybrid event, so the workshop can be attended
either in person or remotely.


About The Workshop on Adaptive Biometric Systems: 
Beyond One-Size-Fits-All Models (ABS 2026)

============================================

The workshop focuses on population-aware biometrics: systems whose
sensing, representation, learning, and evaluation protocols are
explicitly tailored to specific user groups and contextual constraints
across visual, physiological, and behavioral modalities, including
face, gait, person re-identification, ECG, EEG, inertial, and wearable
data. ABS 2026 aims to bring together researchers working on adaptive
biometric modeling, multimodal fusion, benchmarking, bias and failure
analysis, and real-world deployment in safety-critical and socially
relevant domains. By framing population variability as a design
principle rather than a post hoc correction, the workshop will
consolidate an emerging research direction, foster cross-domain
dialogue, and identify shared datasets, protocols, and evaluation
practices for biometric systems operating beyond one-size-fits-all
models.

Topics

============================================


    Biometric systems tailored to specific population groups, such as
    children, elderly users, people with disabilities, and
    neurodiverse users

    Population-aware face recognition, person re-identification, and
    identity analysis in real-world scenarios such as public spaces,
    educational institutions, healthcare facilities, rehabilitation
    centers, and semi-controlled surveillance environments

    Behavioral biometrics and activity-based identity modeling across
    diverse user groups, including applications in continuous
    authentication, user monitoring, learning analytics,
    rehabilitation tracking, and interactive systems

    Visual, audio, and multi-sensor biometric sensing under atypical
    or constrained conditions, such as limited cooperation, reduced
    mobility, occlusions, sensor noise, or non-standard interaction
    modalities in assistive, medical, educational, and surveillance
    systems

    Signal-based biometric modeling and identity recognition using
    physiological and behavioral signals (e.g., ECG, EEG, inertial and
    wearable sensor data, fall detection signals), with applications
    in monitoring, safety-critical environments, and real-world
    surveillance systems

    Multimodal biometric fusion adapted to population-specific
    characteristics, with applications aimed at improving robustness
    and reliability in monitoring systems, assistive environments, and
    safety-critical contexts

    Dataset collection, annotation, and benchmarking for non-standard
    populations, including data acquired in educational settings,
    healthcare and rehabilitation environments, assisted living
    facilities, and public or semi-public spaces

    Bias, performance variability, and failure analysis across
    population groups, with implications for deployment in
    population-diverse scenarios such as large-scale surveillance,
    public services, and inclusive technologies

    Longitudinal biometric modeling across developmental, aging, or
    rehabilitation processes, including applications in child
    development monitoring, aging-related identity changes, and
    recovery assessment in medical and assistive contexts

    Biometric systems in population-specific application domains,
    including surveillance, assistive technologies, healthcare,
    education, and rehabilitation, where user diversity represents a
    primary design constraint

    Ethical, legal, and methodological challenges in
    population-specific biometric research, particularly in sensitive
    contexts involving minors, vulnerable individuals, or long-term
    monitoring


**Important Dates**

============================================

    Paper deadline: 8 May 2026
    Author notification: 10 June 2026
    Camera-ready deadline: 1 July 2026
    Workshop day: 31 August 2026


Submission Guidelines

============================================


Submissions must be written in English and prepared according to the
IEEE double-column conference format, with a maximum length of 6 pages
including references, tables and figures in line with the AVSS paper
style.


Authors should use the official IEEE conference templates available at: 

https://www.ieee.org/conferences/publishing/templates


All papers must be submitted through the official ABS 2026 submission
system (Easy Chair): 
https://easychair.org/conferences/?conf=abs2026

Submissions will undergo a peer-review process managed by the workshop
program committee. Each paper will be evaluated based on relevance,
technical quality, originality, and clarity.

Please note that papers accepted for presentation during the workshops
will be published by IEEE in the AVSS 2026 Proceedings.



Workshop Co-Chairs
============================================

Lucia Cimmino (Pegaso University, Italy), lucia.cimmino@unipegaso.it
Carmen Bisogni ( University of Salerno, Italy ), cbisogni@unisa.it 
Chiara Pero (Link Campus University, Italy ), c.pero@unilink.it
Marco Cascio (Link Campus University, Italy, m.cascio@unilink.it