Multi-modal Geo-tempo Communication System with Agent Architecture
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Solution Overview
Problem
Existing communication systems fail to effectively facilitate multi-modal, geo-referenced, and time-referenced messages in dynamic environments, particularly for mobile users with limited access to global information and information processing capabilities, and lack scalability and fault tolerance.
Innovation Solution
A multi-modal communication system that uses a geo-tempo-registered message framework with agent-based architecture, incorporating input devices for speech, gestures, location, and range finding, and output devices for augmented reality, enabling users to create, transmit, and receive voice, iconic, visual, tactile, and text messages, with support for distributed computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing communication systems are used, then basic messaging is possible, but they fail to facilitate multi-modal, geo-referenced, and time-referenced messages in dynamic environments
Solution Approach 1:
The system implements a universal communication framework that supports multiple message types (voice, text, iconic, visual, tactile) and multiple reference dimensions (geographic, temporal, contextual) within a single integrated platform, enabling adaptable communication across diverse dynamic environments
Solution Approach 2:
The communication system dynamically adapts to changing environmental conditions by continuously updating geo-temporal references, adjusting message delivery based on real-time location and context data, and modifying communication modes according to environmental dynamics
2Ease of operation
If mobile users have limited access to global information and processing capabilities, then portability is improved, but communication performance deteriorates
Solution Approach 1:
The system segments communication functions between mobile devices and distributed network nodes, with each device handling only essential local processing while complex operations are performed remotely through the network, maintaining portability without sacrificing performance
Solution Approach 2:
A distributed communication framework acts as an intermediary between mobile users with limited capabilities and the global information infrastructure, mediating data exchange and processing to enable enhanced communication performance without requiring high local processing power
3Device complexity
If traditional communication systems are used, then implementation is simpler, but scalability and fault tolerance are insufficient
Solution Approach 1:
The system introduces a new dimensional layer of abstraction through geo-temporal referencing and contextual metadata, organizing communication data in a multi-dimensional framework that enables scalable indexing, retrieval, and routing while maintaining implementation simplicity through standardized interfaces
Data Source
AI summary
Disclosed is a flexible, multi-modal system useful in communications among users, capable of synchronizing real world and augmented reality, wherein the system is deployed in centralized and distributed computational platforms. The system comprises input devices to generate signals representing speech, gestures, pointing direction, and location of a user, and transmit the same to a multi-modal interface. A plurality of agents and one or more databases are integrated into the system, where at least some of the agents receive signals from the multi-modal interface, translate the signals into data, compare the same to a database, generate signals representing meanings as defined by the database, and transmit the signals to the multi-modal interface. Finally, a plurality of output devices are associated with the system to receive and process signals from the multi-modal interface, some of said signals representing messages to the user to be communicated by means of an output device.