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id-ear: biometric recognition based on response to acoustic stimulation

id-ear: biometric recognition based on response to acoustic stimulation
id-ear:基于对声刺激的响应的生物识别
批准号:
505807-2016
负责人:
Hatzinakos, Dimitrios
金额:
$1.56万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
我们建议研究和开发生物识别系统,利用人体产生的生物信号作为对施加到人耳上的声刺激的反应。特别是,被认为是生物识别模式的信号将是内耳瞬时诱发耳声发射(TEOAE),通过耳机(S)从耳朵(S)记录下来。拟议的研究将检查、分析和开发一种经济高效的、面向隐私的安全解决方案,以在安全访问控制和远程监控应用环境中对用户进行生物认证。该框架是一种有效的解决方案,它利用一种新的生物特征密码系统来提供一种现实可行的方式来访问和保护敏感和/或个人信息。*TEOAE返回信号被证明对于不同的个人是独特的和唯一的,因此作为生物特征模式是有前景的。该项目的革命性方面是认识到刺激的使用为生物识别的应用提供了额外的安全性,通过改变刺激来实现生物识别的可撤销和主动控制。此外,作为一种医学生物识别技术,TEOAE不太容易受到盗窃、攻击、克隆和其他形式的规避,从而使系统对未经授权的访问更加健壮。关键挑战之一是证明这些生物识别技术可以通过建立它们的唯一性和持久性来为大量人群准确执行。*这项提议的交付成果将是基于云的便携式设备解决方案,这些解决方案将扩大个人、敏感和私人应用程序的安全和可撤销生物识别领域的前沿。**
英文摘要
We propose to investigate and develop biometric systems that utilize biosignals generated from the human body as response to an acoustic stimulus applied to the human ear. In particular the signals considered as biometric modality will be the inner ear transient evoked otoacoustic emissions (TEOAE), recorded from the ear(s) via earphone(s). The proposed research will examine, analyze, and develop a cost-effective and privacy-oriented security solution to biometrically authenticate users in secure access control and remote monitoring application environments. The proposed framework constitutes an effective solution that utilizes a novel biometric cryptosystem to provide a realistic and feasible way to access and secure sensitive and/or personal information.****TEOAE return signals have been shown to be distinctive and unique for different individuals and therefore are promising as biometric modalities. The revolutionary aspect of the proposed project is to realize that the use of stimuli provide additional security to the biometric application, revocability and active control of biometric by changing stimuli. Furthermore being a medical biometric, the TEOAE are less vulnerable to theft, attacks, cloning and other forms of circumvention, thus making the system more robust against unauthorized access. One of the key challenges is to demonstrate that these biometrics can perform accurately for large populations by establishing their uniqueness and permanence over time.****The deliverables of this proposal will be cloud based and portable device solutions that will expand the frontiers in the areas of secure and revocable biometrics for personal, sensitive and private applications.**
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Medical Biometrics Enabled Affective Computing (MBEAC)
  • 批准号:
    RGPIN-2017-06099
  • 项目类别:
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  • 资助金额:
    $4.81万
  • 财政年份:
    2021
  • 负责人:
    Hatzinakos, Dimitrios
  • 依托单位:
Medical Biometrics Enabled Affective Computing (MBEAC)
  • 批准号:
    RGPIN-2017-06099
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2020
  • 负责人:
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Privacy preserving zero-knowledge proof and face recognition
  • 批准号:
    560302-2020
  • 项目类别:
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  • 资助金额:
    $1.82万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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  • 批准号:
    RGPIN-2017-06099
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2019
  • 负责人:
    Hatzinakos, Dimitrios
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