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

• 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