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I-Corps: Novel Biometric Authentication Using a Smart Device

Project: Research

Abstract & Details

Description

Award ID: 2234519

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.

NSF Program Director: Ruth Shuman
StatusClosed
Effective start/end date04/15/2303/31/24

Funding

  • I-Corps Teams: $50,000.00

Active Fiscal Year

  • FY2024
  • FY2023

Start Fiscal Year

  • FY2023

TIP Programs

  • I-Corps Teams

Key Technology Areas

  • Artificial Intelligence
  • (confidence score: 99%)
  • Data and Cybersecurity
  • (confidence score: 100%)

Technology Foci

  • Bio-metrics
  • (confidence score: 100%)
  • Cyber-security
  • (confidence score: 93%)
  • Artificial Intelligence (Broad)
  • (confidence score: 100%)

Congressional District at Award

  • District n. 19 of Texas

Current Congressional District

  • District n. 19 of Texas

United States

  • Texas

Core Based Statistical Area (CBSA)

  • Lubbock, TX

County

  • County: Lubbock, TX

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