Distinguishing People by Biological Signals... 'Unreplicable'

[Asia Economy Reporter Junho Hwang] Domestic researchers have developed a technology that distinguishes individuals through biometric signals such as bones, muscles, fat, and blood vessels. Since it can identify people using unique human signals that cannot be replicated, it is expected to be spotlighted as a next-generation security technology.

The Electronics and Telecommunications Research Institute (ETRI) announced on the 30th that it has developed a technology that distinguishes individuals through biometric signals using artificial intelligence. This technology uses the unique structural features inside the body as the key to security. Therefore, it is significant in that it has secured a new security technology that is impossible to replicate.

Using Structural Features of the Body as the Key to Security

This technology receives signals by applying a certain level of vibration or a slight electric current to the finger to identify the structural characteristics of the finger. Based on these signals, a database is built to distinguish individuals, and artificial intelligence is used to differentiate people.

The research team conducted a clinical trial on 54 subjects with approval from the Institutional Review Board (IRB), securing over 7,000 clinical data points. Verification through machine learning and deep learning models showed that the biometric recognition accuracy exceeded 99%.

This technology is fundamentally impossible to replicate compared to existing biometric technologies and allows continuous biometric authentication. Although the research team demonstrated it using a wristwatch-type device, they expect it can be implemented in the form of sensors or chips in the future. In such cases, personal security authentication will be possible in an unconscious state on wearable or mobile devices.

Various Applications Including Financial Payments

The research team plans to transfer the technology to global biometric recognition and security device specialists to promote commercialization. They also plan to apply this technology to actual smartphones and wearable devices to introduce security authentication services such as cyber payments, deposits and withdrawals, internet automatic login, access control, car door handles, and customized home Internet of Things (IoT).

Dr. Changgeun Ahn of ETRI's Medical Information Research Lab said, "It is possible to authenticate when holding a smartphone or through a computer keyboard or mouse, or by sitting in a chair seat," adding, "We hope this technology will be used as a fundamental technology in the future biometric recognition industry."

This content was produced with the assistance of AI translation services.