| 摘要 |
Apparatus, systems, and methods are provided for secure mobile communications (SMC) by an individual using biometric signals and identification in real time. The apparatus includes a wearable computing device where identification of the user is based on iris recognition, and/or other physiological and anatomical measures. Biometric identity measures can be combined with other security-based information such as passwords, date/time stamps, and device identification. Identity verification can be embedded within information that is transmitted from the device and/or to determine appropriate security measures. SMC addresses security issues associated with the transmission of eye-signal control and biometric identification data using secure interfaces with network devices within a system of systems (SoS) software architecture. |
| 主权项 |
1. A system for a dynamically evolving cognitive architecture based on a natural intent eye movement interpreter for real-time image services, comprising:
one or more processors; and at least one structured illumination source, operatively coupled to at least one of the processors and configured to be disposed towards at least a first eye of a user; and a first sensor operatively coupled to the one or more processors, wherein the sensor is configured to be disposed towards the at least first eye of the user; and non-transitory computer readable memory having a plurality of executable instructions stored thereon, wherein the instructions, when executed by the one or more processors, cause the one or more processors to process eye signal operations comprising:
configuring the one or more processors to operate in a first processing mode; andreceiving from the first sensor a first eye measurement data set representative of a first state of the first eye; andprocessing the received first eye measurement data set, wherein the processing calculates a predicted second state of the first eye, wherein the second state is calculated to occur at one or more of a future date, future time, future interval, future position, future sequence, and future pattern; andresponsive to calculating the predicted second state of the first eye, sending a first executable instruction to the one or more processors; and,receiving from the first sensor a second eye measurement data set, wherein processing the second eye measurement data set calculates a second state of the first eye; andresponsive to calculating the second state of the first eye, correlating the predicted second state of the first eye with the second state of the first eye; andresponsive to correlating the predicted state of the first eye and the second state of the first eye, wherein the correlation result determines the first and second eye states are congruent, sending a second executable instruction to the one or more processors. |
