Abstract: A system and method for human authentication uses a graphene membrane for human skin scanning, imaging, and communication to determine unique neuron patterns for use in authentication and psychological profiling. The system employs a graphene membrane, which integrates unobstructed optical, ultrasound, and capacitance sensors within a distributed computing smartcard format device. The graphene membrane optical sensors capture high-resolution images of fingerprint ridges and valleys, while the ultrasound sensors generate detailed 3D maps of both surface and subsurface skin structures. Capacitance sensors measure the electrical properties of the skin, further enhancing the biometric data obtained. The biometric data is combined and used to identify distinct neuron patterns embedded in the skin. The system may be manufactured in compact card format and durable, ensuring seamless integration into standard identification card formats and to act as a consensus node for Proof-of-KYC (Know Your Customer).

Abstract: This invention relates to a system and method for human authentication utilizing a graphene membrane for human skin scanning, imaging, and communication to determine unique neuron patterns for use in authentication and psychological profiling. The system employs a graphene membrane, which integrates unobstructed optical, ultrasound, and capacitance sensors within a distributed computing smartcard format device. The graphene membrane optical sensors capture high-resolution images of fingerprint ridges and valleys, while the ultrasound sensors generate detailed 3D maps of both surface and subsurface skin structures. Capacitance sensors measure the electrical properties of the skin, further enhancing the biometric data obtained. The biometric data is combined and used to identify distinct neuron patterns embedded in the skin.

Abstract: A system and method of generating a perceptual reflex encryption key (PRE-Key) may include the following steps: 1) delivering a spatially modulated auditory stimulus from a mobile device to a human subject via a secure audio output interface; 2) capturing, using a MEMS sensor subsystem, an involuntary physical response of the human subject to the auditory stimulus; 3) determining a response latency ?t between stimulus delivery and the captured response; 4) extracting a perceptual feature vector based on neocortical response approximations; and 5) computing the PRE-Key by hashing a combination of the auditory stimulus parameters, the perceptual feature vector, the physical response, and the response latency.

Abstract: This invention introduces a novel hybrid system that integrates Mobile Network (MN), Internet Cloud (IC), and Node Consensus (NC) components. The system leverages secure-core silicon mobile end-points to monitor mobile network data traffic, device environmental probes, and authorized user input. By analyzing mobile radio frequency data-packet patterns and capturing users' physical environment and behavior, the system creates a unique, non-duplicable pattern. This pattern is then used to sign and authorize on-chain transactions, enabling secure execution of smart legal contracts and the storage of immutable data. The software and hardware components undergo authentication before being stored on-chain.

Abstract: This invention relates to a system and method for human authentication utilizing a graphene membrane for human skin scanning, imaging, and communication to determine unique neuron patterns for use in authentication and psychological profiling. The system employs a graphene membrane, which integrates unobstructed optical, ultrasound, and capacitance sensors within a distributed computing smartcard format device. The graphene membrane optical sensors capture high-resolution images of fingerprint ridges and valleys, while the ultrasound sensors generate detailed 3D maps of both surface and subsurface skin structures. Capacitance sensors measure the electrical properties of the skin, further enhancing the biometric data obtained. The biometric data is combined and used to identify distinct neuron patterns embedded in the skin.