Demo: Neuro ID

Real-Time, Passive EEG-Based Biometric Authentication with Neuro ID®

This demo presents Neuro ID®, a real-time authentication system based on electroencephalography (EEG), designed to continuously verify a user’s identity through their brain activity. It offers a hands-on demonstration of the feasibility of EEG-based biometric authentication in everyday conditions, highlighting the unique potential of EEG over traditional biometrics for passive and continuous identity verification. The system runs on consumer-grade hardware and standard computing infrastructure, making it applicable to real-world use cases.

In brief, attendees will engage with a complete authentication pipeline. A desktop session remains unlocked as long as their identity is passively confirmed by Neuro ID®. The user wears an EEG headset connected to a Neuro ID®-enabled laptop, which triggers automatic system initialization and autonomous creation of a biometric profile. Then, continuous authentication and access to a laptop session are maintained via live EEG signature generation and matching. If identity is not verified or signal quality drops, access is paused or locked, illustrating a real-time security mechanism.

The demo was freely tested and received recognition at major tech events, including “Startup Grand Winner” at AI Nexus 2025 and “Next Unicorn” at Unicorn Summit 2025.

Neuro ID® represents an interactive and applied contribution in the relatively underexplored area of EEG-based authentication research (less than 700 identified publications since 2010) that intersects neurotechnology and cybersecurity. EEG offers unique properties compared to traditional biometrics (immutable, inherently linked with user’s physical environment and active participation to authentication). For example: (1) Intrinsic liveness detection and high resistance to spoofing. (2) Passive and continuous operation, suitable for AR/VR and hands-free interfaces and next-gen head-wearable devices (smartglasses, earbuds, headsets). (3) Revocability and context-aware profile generation. These features open applications across consumer electronics, cybersecurity, finance, and defence, offering a new path for embedded biometric systems.