Head-Mounted Brain-Body Controller for Multi-Action Device Management

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Solution Overview

Problem

Conventional brain/body signaling systems and head-mounted displays are limited in their ability to process and transmit multiple brain/body signals and accessory sensor control signals, restricting their capability to control multi-action machines or devices, and they lack integration with EEG, EMG, EOG signals, and biosignal data for complex operations.

Innovation Solution

A head-mounted brain-body actuated multi-signal controller system that includes electrodes, accessory sensors, a neural interface amplifier, processor, and wireless transmitter to receive and process multiple bioelectric signals and accessory sensor data, enabling the control of multi-action machines or devices via wireless communication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional brain/body signaling systems use a single EEG signal to control a device, then the system is simple to operate, but it cannot control multi-action machines or devices

Engineering Contradiction:
Improvecapability to control multi-action machinesVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the control system into multiple independent signal channels (EEG, EMG, EOG, accessory sensors) that can be processed separately and combined to control different actions of a multi-action machine. Each signal type corresponds to specific machine functions, allowing complex device control through modular signal processing.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The head-mounted device integrates multiple sensor types (EEG electrodes, EMG electrodes, EOG electrodes, accessory sensors) into a single universal controller that can detect various physiological signals and translate them into multiple machine actions, making the system adaptable to control diverse multi-action devices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If conventional systems process only one brain signal, then the processing system is simple, but it cannot simultaneously receive and transmit multiple brain/body signals and accessory sensor control signals

Engineering Contradiction:
Improvesignal processing capacityVSAvoidsignal processing system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements separate processing channels for each signal type (EEG, EMG, EOG, accessory sensors), with dedicated processors or processing modules for each channel. This segmented approach allows simultaneous processing of multiple signals without interference while maintaining manageable system complexity through modular architecture.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system adds temporal and functional dimensions to signal processing by handling multiple signal types concurrently across different processing channels, transforming the single-signal sequential processing model into a multi-signal parallel processing architecture that increases productivity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Ease of operation

If conventional head-mounted displays lack integration with multiple bioelectric signals, then the device structure is simple, but it cannot enable hands-free control of complex devices

Engineering Contradiction:
Improvehands-free control capabilityVSAvoidsensor integration complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent merges multiple sensor systems (EEG, EMG, EOG electrodes and accessory sensors) into a single integrated head-mounted controller unit that processes all signals and generates unified control commands for hands-free operation of multi-action machines, enabling complex device control without mechanical interfaces.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system replaces traditional mechanical control interfaces (buttons, joysticks, switches) with physiological signal-based control, where brain waves, muscle signals, and eye movements directly translate into machine commands, achieving hands-free operation by substituting mechanical interaction with biological signal processing.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables hands-free control of multi-action machines or devices using a combination of brain/body signals and accessory sensor data, enhancing the operational capabilities of brain/body signaling systems and head-mounted displays by allowing remote operation of complex devices.

Implementation Method 1

a first sensor, comprising an electrode, that is supported by the frame, arranged to be placed in contact with the cranium when the frame is worn by the user, and adapted to receive a bioelectric signal from the cranium

Methodology Applied
Scientific EffectElectrical conduction: Conduction (electrical)

Data Source

PatentUS9934634B1System employing a plurality of brain/body-generated inputs to control the multi-action operation of a controllable device
Publication Date: 2018.04.03 MAKE IDEAS LLC
  • US9934634B1 patent drawing
  • US9934634B1 patent drawing
  • US9934634B1 patent drawing

AI summary

A system employing a plurality of brain/body-generated inputs to control multi-action operation includes a controllable device, that performs at least two actions via remote control, and a head-mounted user interface device. The UI device includes a user cranium-mounted frame, first and second sensors supported by the frame, a processor, and a transmitter. The first sensor includes an electrode for contacting the cranium when the frame is worn and adapted to receive a bioelectric signal from the cranium. The second sensor receives hands-free brain/body input from the user. The processor uses application software process input provided by the first and second sensors and generates different outputs, corresponding to different commands. The transmitter transmits signals, based on the different commands, to the controllable device to initiate the different actions performed by the device.