I-Corps: Novel Biometric Authentication Using a Smart Device

这个I-Corps项目更广泛的影响/商业潜力是开发一种基于个人安全生物识别的访问技术。所提出的商业市场是汽车和设备访问，而所提出的技术解决了丢失汽车钥匙的问题，以及使丢失或被盗的电话被错误的人访问的问题。目前，美国每年花费27亿美元用于更换丢失的物品。手机和车钥匙是前五名丢失的物品。此外，如果其他用户使用这些物品，则汽车可能被盗，但是使用所提出的解决方案可以防止汽车盗窃。另一个潜在的应用包括建筑物访问。身份证通常用于控制进入建筑物。然而，公司每年花费数千美元来更换丢失的身份证，这可能会通过使用拟议的技术来减轻。此外，拟议的非接触式技术可能有助于减少与COVID-19和其他高传染性疾病相关的传播和成本。 这个I-Corps项目的基础是开发一种生物鉴别方法。面部和指纹识别已成为生物识别认证市场中流行的方法。 所提出的技术是一种基于光电体积描记（PPG）的认证解决方案，使用信号处理和机器学习算法，可以通过使用智能手机上的集成传感器收集生理数据。它是一种非接触式监测方法来测量数据，不需要额外的硬件来识别用户。 目前的生物识别认证解决方案，包括面部识别和物理指纹，需要外部硬件组件，这可能会限制使用并引起隐私问题，以及对接触监控的需求，以及制造商的昂贵投资。 该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of an individual security biometric-based access technique. The proposed commercial market is cars and device access while the proposed technology solves the problem of losing a car key, and of having a lost or stolen phone accessed by the wrong person. Currently, $2.7 billion is spent annually in the U.S. replacing lost items. Phones and car keys are in the top five lost items. In addition, cars may be stolen if those items are used by other users, but using the proposed solution car theft may be prevented. Another potential application includes building access. Identification (ID) cards are used commonly to control access to buildings. However, companies spend thousands of dollars each year to replace lost ID cards, which may be mitigated by using the proposed technology. In addition, the proposed touchless technology may be useful to reduce the spread and costs associated with COVID-19 and other highly transmissible diseases. This I-Corps project is based on the development of a biometric authentication method. Facial and fingerprint recognition have become popular methods in the biometric authentication market. The proposed technology is a photoplethysmography (PPG)-based authentication solution using signal processing and machine learning algorithms that can gather physiological data by using integrated sensors on smartphones. It is a touchless monitoring method to measure data and does not require additional hardware to recognize users. Current biometric authentication solutions, including facial recognition and physical fingerprint, require external hardware components that may limit use and raise privacy concerns as well as the need for contact monitoring, and expensive investments for manufacturers. The proposed touchless biometric-based authentication solution may cost less, protect user privacy, and eliminate touch points to mitigate the spread of COVID-19 and other diseases.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.