Brain Signal Concept Mapping for Real-World Object Control

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing technologies fail to effectively convert concepts formed in the brain without sensory input into actionable data for controlling real-world objects, limiting the interaction and control of such concepts in the physical world.

Innovation Solution

A processing subsystem interfaces with the brain region responsible for forming concepts without sensory input, converting brain signals representing these concepts into computer-readable data, and identifying associated data records to control or interact with real-world objects, optionally providing feedback and initiating responsive actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If brain signals are converted to computer readable data to control real-world objects, then interaction capability with physical world is improved, but system complexity increases

Engineering Contradiction:

Improveinteraction capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

A processing subsystem acts as an intermediary between the brain region and real-world objects. The subsystem receives brain signals, converts them to computer readable data, identifies associated data records, and initiates responsive actions. This intermediary layer enables seamless interaction while managing system complexity internally.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If concepts are converted to actionable data for controlling objects, then control effectiveness is improved, but information processing complexity increases

Engineering Contradiction:

Improvecontrol effectivenessVSAvoidinformation processing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Data records associated with real-world objects are pre-established and stored in a database. When brain signals are converted to concepts, the system queries these pre-existing data records to rapidly identify corresponding objects and initiate appropriate actions, reducing real-time processing complexity while maintaining control effectiveness.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If brain signals are processed to identify data records for multiple objects, then object recognition accuracy is improved, but processing time increases

Engineering Contradiction:

Improveobject recognition accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system provides feedback to the brain region regarding successful identification and control of objects. This feedback mechanism allows the system to learn from successful interactions, refine its data record associations, and improve recognition accuracy over time while optimizing processing efficiency.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12566502B2Methods and systems for controlling and interacting with objects based on non-sensory information rendering

Publication Date: 2026.03.03 OFER MOSHE

AI summary

A processing subsystem communicates with a region of an animal subject's brain that is responsible for forming concepts without sensory input. The processing subsystem receives brain signals that are representative of a concept formed by the region of the brain without sensory input. The processing subsystem processes the received brain signals to convert the concept to computer readable data that is representative of a tangible form of the concept. The processing subsystem identifies a data record that is associated with one or more data elements of the computer readable data and that is also associated with a real-world object that is related to the concept.