2017
IJCAI
IJCAI 2017
Using Multiagents for Context-Aware Adaptive Biometrics
Abstract
This research is motivated by the need to design a biometric system that uses adaptive techniques relevant to a specific context to identify an individual with little or no interaction with the user. The aim of this research is to develop a framework for a context-aware adaptive multimodal biometric identification system using agent technology.
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Keyword Pioneer
— context-aware system
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio