April 21st, 2026 
Daniela Lopez de Luise 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)
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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
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- 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**
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- Paper deadline: 8 May 2026
- Author notification: 10 June 2026
- Camera-ready deadline: 1 July 2026
- Workshop day: 31 August 2026
Submission Guidelines
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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:
All papers must be submitted through the official ABS 2026 submission system (Easy Chair): https://easychair.org/conferences/?conf=abs2026
Workshop Co-Chairs
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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
