Medical Biometrics Enabling Security Technologies (MBEST)

越来越多的安全解决方案基于生物识别技术，用于身份认证、安全监控系统、数据通信和访问控制。然而，常用的生物识别模式，如指纹、虹膜和面部，容易受到规避、重放和混淆攻击。另一方面，医学生物识别技术，包括一套新的模式，如心电图（ECG）、脑电图（EEG）、耳声发射（OAE）、心音图（PCG）等，对这些攻击是稳健的，因为它们是身体内部的，因此难以窃取或伪造。此外，它们提供了固有的活动检测和连续认证的可能性，因为它们可以每隔几秒钟提供一次新的生物识别读数。

A growing number of security solutions is based on Biometrics recognition technologies for identity authentication, secure monitoring systems, data communication and access control . However, the commonly used biometric modalities such as the fingerprint, iris and face, are venerable to circumvention, replay and obfuscation attacks. On the other hand, medical biometrics which include a novel set of modalities such as the electrocardiogram (ECG), the electroencephalogram (EEG), Oto-acoustic emissions (OAE), the Phonocardiogram (PCG), among others, are robust to these attacks because they are internal to the body and therefore difficult to steal or forge. Furthermore, they offer inherent liveness detection and possibility of continuous authentication since they can provide a fresh biometric reading every couple of seconds. The short term objectives of this proposal is the investigation of the medical biometrics pipeline including the acquisition, pre-processing, enrollment, template generation, matching and classification of various medical biometric modalities. Important challenges that we will address are template variability and stabilization arising from the time dependent nature of the underlying signals. The long term objective is to establish medical biometrics, either as a stand alone or a multi-biometrics component, as viable solution to real time security applications in health care, field monitoring and access control applications. This will require to achieve higher recognition rates, shorter acquisition and processing times and lower cost by utilizing cheap, real time DSP platforms. Finally, biometric encryption technologies will be introduced for increased privacy. The proposed research presents novel ideas in biometric systems research and design and will provide better understanding of medical biometric modalities and their utilization for reliable person authentication and recognition. Also, it addresses timely issues of practical importance to he development of biometric systems and their applications in occupational and welfare monitoring deployments for security and control.