Photo-plethysmograph (PPG) biometric identifier for electronic personal records

用于电子个人记录的光电体积描记器 (PPG) 生物识别标识符

• 批准号: 502822-2018
• 负责人: Hatzinakos, Dimitrios
• 金额: $ 3.62万
• 依托单位: University of Toronto
• 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
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653214
• 关键词: Photo; plethysmograph; PPG; biometric; identifier

We propose to develop a novel and comprehensive methodology and architecture for secure and privacy protective data management in a variety of sectors such as healthcare, banking and government. The proposed approach leverages and builds upon the recent emergence of Photo-Plethysmography (PPG) biometrics as a promising technology for user recognition. The proposal addresses the need for secure communication and authentication of personal information which at the same time is characterized by enhanced privacy and confidentiality.****It is expected that the proposed research will drive development of novel pattern recognition and machine learning algorithms to design robust PPG biometric signatures and meet the standards led by other biometric modalities, such as the fingerprint, for the real world applications. The outcome of this research will be a practical, privacy oriented and effective security system that can be directly applied in securing personal information records in many application sectors.****The proposed framework constitutes a simple, inexpensive and effective solution that utilizes a novel biometric crypto-system to provide a realistic and feasible way to secure sensitive personal information. The proposed project will realize the full potential of the PPG data which are routinely collected by numerous portable devices for health monitoring by offering effective data security and privacy protection for that same data and other personal data.********

我们建议开发一种新颖而全面的方法和架构，用于医疗保健，银行和政府等各个部门的安全和隐私保护数据管理。所提出的方法利用并建立在最近出现的光体积描记（PPG）生物识别作为一种有前途的技术，用于用户识别。该提案解决了安全通信和个人信息认证的需要，同时具有增强隐私和保密性的特点。预计所提出的研究将推动新的模式识别和机器学习算法的开发，以设计鲁棒的PPG生物特征签名，并满足其他生物特征形式（如指纹）的标准，用于真实的世界应用。这项研究的结果将是一个实用的，以隐私为导向的和有效的安全系统，可以直接应用于保护许多应用领域的个人信息记录。建议的框架构成了一个简单，廉价和有效的解决方案，利用一种新的生物特征密码系统提供了一个现实可行的方式来保护敏感的个人信息。 拟议的项目将充分发挥PPG数据的潜力，这些数据是由许多便携式设备定期收集的，用于健康监测，为相同的数据和其他个人数据提供有效的数据安全和隐私保护。