Muscle, Skin or Brain Based Authentication and Identification

Smart overview of the Invention

A device is designed to extract a unique recognition vector from users based on their muscle, skin, or brain activity. It utilizes a sensor to generate an electrical signal, which is then transformed into a spectral image through a spectral conversion mechanism. Finally, a machine learning device processes this spectral image to create a recognition vector specific to the user.

Technical Application

This authentication system is particularly suited for portable wearable devices that come in various forms. Unlike traditional biometric methods that require user interaction, this technology can function continuously and seamlessly, making it ideal for devices like Augmented Reality (AR) and Virtual Reality (VR) headsets, smart jewelry, and oral appliances.

Current Limitations in Authentication

Existing methods of authentication, such as fingerprint sensors and facial recognition, often require active participation from the user. These methods can be incompatible with many modern devices where such interactions are impractical. Furthermore, these systems may fail to provide continuous security, as they rely on one-time authentication that could be bypassed by unauthorized individuals.

Biometric Identification for Animals

The device also has applications in commercial farming, where identifying animals is crucial. Traditional methods like branding or RF tags lack biometric coupling, making them susceptible to errors or fraud. This technology aims to create a true biometric identifier for animals, enhancing reliability in monitoring and managing livestock.

Versatile Use Cases

In addition to personal authentication, the device can ensure compliance in medical equipment usage, such as CPAP machines. It can also be integrated into various wearable technologies like eyewear and ear buds to utilize unique eye movement patterns as recognition vectors. Overall, this device presents a versatile solution for secure identification across multiple industries and applications.