Otoacoustic Emission Based Biometric Systems

基于耳声发射的生物识别系统

• 批准号: EP/E015522/1
• 负责人: Stephen Beeby
• 金额: $ 45.44万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FE015522%2F1
• 关键词: Otoacoustic; Emission; Based; Biometric; Systems

Identity-derived fraud is reported to cost the UK 1.72 billion per year. The security industry is caught between two mutually opposing pressures: consumers demand ever more and instant access to their resources, whilst at the same time remaining unwilling to cooperate with invasive and/or time-consuming identity verification. The challenge, then, is to create a personal identity verification schema that is highly reliable, mom-invasive, fast, socially acceptable and cheap to deploy. Biometrics, in the context of this proposal, refers to the quantitative measurement of the physiological or behavioural attributes of an individual with a view to confirming (or not) or establishing their identity. Otoacoustic emissions (OAE) are noises emitted by the mammalian ear in response to an audio stimulation, and a growing body of evidence suggests that these responses can be used to distinguish individuals. The source of OAE lies with the human body's process for amplifying low level sounds. The emissions produced by this process can be detected at the entrance to the ear and are typically evoked by stimulating the hearing process by a suitable input sound. Not only have OAE been shown to be unique to individuals, their characteristics depend upon the input sound in a manner that also varies between individuals. This fact offers some unique opportunities when applying this as a biometric system.An otoacoustic-based biometric system enjoys a number of significant advantages over other identity verification schemas:- It can be embodied is a telephone handset or headphones - everybody is familiar with these.- It can be employed in a challenge-response dialogue: The stimulus dependant nature of the OAE offers the potential for a challenge-response approach hidden from the subject greatly increasing the performance of the biometric, especially with respect to circumvention.In summary, this proposal is aimed at establishing OAE as a robust biometric characteristic. An on-the-ear probe acceptable to the users will be developed that efficiently excites and captures the emissions. The biometric analysis used to identify/verify individuals will be optimised and the system performance measured using standard metrics. Practicalities such as potential long term drift of the emissions, the influence of hearing impairments and external noise will be investigated to evaluate the potential for using OAE in real applications. Finally, the challenge response dialogue will be applied and its effect on the biometric performance of the system evaluated.

据报道，身份诈骗每年给英国造成17.2亿英镑的损失。安全行业面临着两个相互对立的压力：消费者要求更多、更即时地访问他们的资源，同时仍然不愿与侵入性和/或耗时的身份验证合作。因此，挑战是创建一个高度可靠、具有母亲侵入性、快速、社会可接受且部署成本低廉的个人身份验证方案。在这项提议的背景下，生物统计学是指对个人的生理或行为属性进行定量测量，以确认(或不确认)或确定其身份。耳声发射(OAE)是哺乳动物耳朵对音频刺激做出反应时发出的噪音，越来越多的证据表明，这些反应可以用来区分个体。耳声发射的来源在于人体放大低水平声音的过程。这一过程产生的辐射可以在耳朵入口处检测到，并通常通过适当的输入声音刺激听力过程来诱发。OAE不仅被证明是个体独有的，它们的特征也取决于输入的声音，这种方式在个体之间也是不同的。这一事实为将其应用于生物识别系统提供了一些独特的机会。与其他身份验证方案相比，基于耳声的生物识别系统具有许多显著的优势：-它可以体现为电话听筒或耳机-每个人都熟悉这些。-它可以用于挑战-响应对话：OAE的刺激依赖性质提供了隐藏在主体之外的挑战-响应方法的可能性，极大地提高了生物识别的性能，特别是关于环境。总之，该提议旨在将OAE建立为稳健的生物识别特征。将开发一种用户可以接受的耳式探头，有效地激发和捕获排放。用于识别/验证个人的生物识别分析将得到优化，系统性能将使用标准指标进行测量。我们将调查实际情况，例如辐射的潜在长期漂移、听力损伤和外部噪声的影响，以评估在实际应用中使用OAE的潜力。最后，将应用挑战响应对话，并评估其对系统生物识别性能的影响。

项目成果

A comparison of verification in the temporal and cepstrum-transformed domains of Transient Evoked Otoacoustic Emissions for biometric identification

用于生物特征识别的瞬态诱发耳声发射的时间域和倒谱变换域的验证比较

• DOI: 10.1504/ijbm.2011.040818
• 发表时间: 2011
• 期刊: International Journal of Biometrics
• 影响因子: 0.7
• 作者: Chambers P

Otoacoustic Signatures (OSig)

耳声特征 (OSig)

• 发表时间: 2010
• 作者: Andrew Brown

The biometric potential of transient otoacoustic emissions

瞬态耳声发射的生物识别潜力

• DOI: 10.1504/ijbm.2009.024278
• 发表时间: 2009
• 期刊: International Journal of Biometrics
• 影响因子: 0.7
• 作者: Swabey M