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