Non-Invasive Augmented Telepathic Data Structures
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Solution Overview
Problem
Current methods for representing mental information and cognitive processes in computing environments are limited, requiring invasive sensors and devices that impact health and mobility, and only capture broad generalizations of human interactions, restricting the scope of applications.
Innovation Solution
Novel systems and methods for generating and maintaining data structures representing mental information and cognitive processes, enabling direct communication and perception without voicing, writing, or gesturing, and interfacing the human mind and body with computing environments using non-invasive, gadget-free approaches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive sensors, probes, or electrodes are used to collect data from the human body and mind, then measurement precision is improved, but health and comfort are negatively impacted and mobility is restricted
Solution Approach 1:
The patent uses non-invasive intermediary devices such as cameras, microphones, and sensors that capture data from a distance without direct contact with the body. These intermediaries mediate between the user and the computing system, enabling data collection while avoiding health impacts and mobility restrictions associated with invasive methods.
Solution Approach 2:
The patent replaces mechanical invasive sensing systems with field-based detection methods using electromagnetic, acoustic, and optical fields. This substitution eliminates the need for physical penetration of the body while maintaining measurement capabilities through non-contact sensing technologies.
2Device complexity
If traditional generalized sensor readings are used, then device complexity is reduced, but measurement precision and data explicitness are limited to low resolutions
Solution Approach 1:
The patent segments the sensing system into multiple specialized non-invasive components (visual sensors, auditory sensors, contextual sensors) that work together to capture comprehensive data. This segmentation allows each component to be relatively simple while the integrated system achieves high measurement precision and detailed data representation.
Solution Approach 2:
The patent adds contextual and environmental dimensions to traditional sensing by incorporating data about the user's surroundings, device usage patterns, and situational information. This multi-dimensional approach enriches data resolution without requiring more complex individual sensors.
3Measurement precision
If wearable or surgically implanted devices are used, then measurement precision is improved, but ease of operation and user comfort deteriorate due to mobility restrictions
Solution Approach 1:
The patent employs non-invasive intermediary sensing devices that capture data from a distance, serving as mediators between the user and the computing system. These intermediaries maintain measurement precision while eliminating the mobility restrictions and comfort issues associated with wearable or implanted devices.
Solution Approach 2:
The patent uses non-invasive copying methods where sensors capture representations of bodily functions and cognitive processes without direct contact. This copying approach maintains data accuracy while avoiding the operational constraints of physical attachment devices.
Data Source
AI summary
Effective augmented telepathic communication is provided as a gadget-free extension of human senses. The conveyance of mental information and cognitive processes to perceive or communicate being made possible by data structures for generating and maintaining representations of biological systems activity with auditory, visual, kinesthetic, tactile, emotion, movement, smell, taste, and concept data in a computing environment. One or more methods include steps for representing brain, nervous system, and sensory systems activity with mental information and cognitive processes as data for incorporating values with applications, systems, or instance relevant computing environments. In preferable embodiments of the present invention, methods also include the association of data representing the objects, elements, assets, acts, conditions, processes, or products of perceiving, cognizing, communicating, experiencing, imagining, remembering, recognizing, judging, reasoning, problem solving, conceptualizing, or planning with mixes of machine learning tasks for human-computer interfacing and communicating using optional devices or acting as a biological computing environment.