TL;DR
This study offers a coherent analysis of present methods, unresolved issues, and future research paths, positioning their combined adoption as a fundamental necessity for next-generation medical and biometric imaging.
Biometric signals are poised to enhance the research landscape of Human Factors (HF) and related fields. However, many existing research-grade biometric devices run on expensive, proprietary systems, while consumer-grade devices are closed source, offering limited or no access to the data. To address this gap we develo...
The integration of the Internet of Medical Things (IoMT) into healthcare systems has transformed patient care by enabling continuous monitoring, remote diagnostics, and intelligent treatment delivery. However, this rapid expansion of interconnected medical devices has also introduced critical cybersecurity concerns, in...
Summary Background Recent NIH Data Management and Sharing (DMS) policy updates and NIH controlled-access data security requirements have increased attention to facial anonymization and controlled-access handling of shared head imaging data. This is particularly relevant for datasets submitted to or hosted by the Cancer...
There is growing interest in the proposed use of EEG signals as biometric credentials, but thus far there has been little research on the reliability and security of such biometrics. Prior adversarial tests have focused on deep-learning classifiers and assumed attackers have full access to the classifier model. This ha...
Findings indicate that feature-level fusion of pretrained CNNs offers an accurate, explainable, and lightweight solution for biometric patient identification, though larger, diverse datasets and anti-spoofing measures are needed prior to clinical adoption.
Recent advances in artificial intelligence, deep learning, and multimodal sensing have significantly improved the accuracy, adaptability, and usability of biometric authentication, while raising ethical and societal concerns around privacy, bias, surveillance, transparency, and accountability. This paper presents a qua...
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