Bibliographic Details
| Title: |
Soft Smart Biopatch for Continuous Authentication‐Enabled Cardiac Biometric Systems |
| Authors: |
Lee, Sung Hoon, Lee, Yoon Jae, Kwon, Kangkyu, Lewis, Daniel, Romero, Lissette, Lee, Jimin, Zavanelli, Nathan, Yan, Emily, Yu, Ki Jun, Yeo, Woon‐Hong |
| Source: |
Advanced Sensor Research; December 2023, Vol. 2 Issue: 12 |
| Abstract: |
Biometric locking systems offer a seamless integration of an individual's physiological characteristics with secure authentication. However, they suffer from limitations such as false positive and negative authentication, environmental interference, and varying disadvantages across multiple authentication methods. To address these limitations, this study develops a soft smart biopatch for a continuous cardiac biometric wearable device that can continuously gather novel biometric data from an individual's heart sound for authentication with minimal error (less than 0.5%). The device is designed to be discreet and user‐friendly, and it employs soft biocompatible materials to ensure comfort and ease of use. The patch system incorporates a miniaturized microphone to monitor sounds over long periods and multiple dimensions, enhancing the reliability of the biometric data. Furthermore, the use of machine‐learning algorithms has enabled the creation of unique identification keys for individuals based on the continuous monitoring properties of the low‐cost device. These advantages make it more effective and efficient than traditional biometric systems, with the potential to enhance the security of mobile devices and door locks. The development of a novel biometric locking system using a continuous cardiac biometric wearable device designed for secure and efficient authentication is studied. The patch enhances data reliability and user comfort by combining microfabricated microphone technology, machine‐learning algorithms, and soft biocompatible materials. The application potential spans from mobile device security to door locks. |
| Database: |
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