Abstract: Systems, methods, and apparatus are disclosed for omnimodal sensing, data fusion, and autonomous decision-making across physical and digital domains and further integrates a Multimodal Diagnostic System (MDS) and Impairment Recognition and Intervention System (IRIS) with defense architecture or a system architecture that can be compliant with the Modular Open Systems Approach (MOSA) and Sensor Open Systems Architecture (SOSA) to ensure interoperability. The system can utilize real-time multisensory fusion, cryptographic provenance via blockchain, and resilient magnetoelectric communication to support mission-critical decision-making across manned and unmanned platforms in denied or contested environments.

Abstract: A system or method of impairment recognition and intervention includes collecting sensor data using a vehicle sensor array, combining the sensor data using a sensor fusion module for initial data aggregation and synchronization from data collected from the vehicle sensor array to provide fused data and for combining processed data from all sensors into a unified state estimate, performing real-time analysis in detection of signs of impairment using a machine learning model or models that received the fused data as inputs, performing advanced data analysis, long term storage, and system management in communication with the machine learning model or models using a cloud processing and data storage component serving as a centralized platform, encrypting all stored data and encrypting communication with the cloud processing and data storage component using an encryption engine, and providing a tamper-evident log of critical events in detection of signs of impairment using blockchain technology.

Abstract: Systems, methods, and apparatus are disclosed for omnimodal sensing, data fusion, and autonomous decision-making across physical and digital domains. The disclosed architecture integrates biological-analog modalities including visual, auditory, olfactory, gustatory, and tactile sensors with symbolic or linguistic data sources such as text, structured records, or unstructured digital inputs. A data-fusion engine consolidates these heterogeneous streams into a unified context representation. A machine-learning inference model performs diagnostic, predictive, or safety-related reasoning from this representation. A distributed-ledger framework validates and preserves data provenance, and a resilient communication subsystem ensures command, control, and safety continuity through alternative channels such as cellular text, low-frequency radio, optical, acoustic, or magnetoelectric field-based transmission.

Abstract: A method, system and mobile device can be used by a subject in diagnosing a disease or virus or other illness. The system can capture and analyze olfactory information providing a diagnosis based on the olfactory information. The system can also capture and output biometric data corresponding to the subject and can further include at least one camera or video sensor that can result in a diagnosis or a microphone or other acoustic sensor that can result in another diagnosis. Other sensors providing other corresponding diagnoses can be included. A sensor fusion component can receive and combine the biometric data and the various diagnoses results and further determine a confidence score. An event record creator compiles the biometric data and the confidence scores to create an event record having a higher confidence score with respect to a final diagnosis result. A data storage device stores the event record.

Abstract: A method, system and mobile device can be used by a subject in diagnosing a disease or virus or other illness. The system can capture and analyze olfactory information providing a diagnosis based on the olfactory information. The system can also capture and output biometric data corresponding to the subject and can further include at least one camera or video sensor that can result in a diagnosis or a microphone or other acoustic sensor that can result in another diagnosis. Other sensors providing other corresponding diagnoses can be included. A sensor fusion component can receive and combine the biometric data and the various diagnoses results and further determine a confidence score. An event record creator compiles the biometric data and the confidence scores to create an event record having a higher confidence score with respect to a final diagnosis result. A data storage device stores the event record.

Abstract: A system (50) and method (10) providing a user with a qualitative indication of a freshness of location information with minimal user disruption can include the steps of obtaining (12) presentation data, associating (14) a location indication representative of a location when the presentation data was obtained, and altering (16) a data characteristic of the presentation data over time to provide an indication of a freshness of the location indication. The method can further include the step of presenting (19) the presentation data to a user. Note, presentation data for example can be data for a digital photograph or an audio sample. The step of altering the data characteristic can optionally involve altering (18) at least one among a contrast, brightness, sharpness, pixel resolution, vertical positioning, horizontal positioning, color setting, white balance, compression ratio, language setting, volume, pitch, and equalization setting.

Abstract: A system (50) and method (10) providing a user with a qualitative indication of a freshness of location information with minimal user disruption can include the steps of obtaining (12) presentation data, associating (14) a location indication representative of a location when the presentation data was obtained, and altering (16) a data characteristic of the presentation data over time to provide an indication of a freshness of the location indication. The method can further include the step of presenting (19) the presentation data to a user. Note, presentation data for example can be data for a digital photograph or an audio sample. The step of altering the data characteristic can optionally involve altering (18) at least one among a contrast, brightness, sharpness, pixel resolution, vertical positioning, horizontal positioning, color setting, white balance, compression ratio, language setting, volume, pitch, and equalization setting.

Abstract: A system (10) for coordinating the use of objects together can include a tag (11) on a first object (18), a tag (19) on at least a second object (9), and a portable communication device (12) having a processor. The processor is preferably programmed to read information from the tag on the first object and from the tag on at least the second object, retrieve data (15) associated with the first object and at least the second object, and retrieve rules (14) relating to the use of the first object the second object. The rules can be fashion, food, drug or other coordination rules. The processor can also be programmed to apply the rules and provide feedback to the individual. The portable communication device can further include a bar code scanning device or alternatively a transceiver for reading information from RFIDs.