Mobile EEG Interface for Wireless Peripheral Control
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Solution Overview
Problem
Current brain-computer interface (BCI) systems are limited by their need for fixed computing devices and multiple physically connected peripherals, which restrict mobility and usability for individuals with physical challenges.
Innovation Solution
A mobile computing device, such as a smartphone, equipped with a purpose-written app that receives and processes EEG data streams wirelessly from a headset to generate actionable commands for peripheral devices, enabling control and feedback through Bluetooth connections, allowing for a fully mobile BCI system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If fixed computing devices and multiple physically connected peripherals are used in BCI systems, then processing capability and device control are improved, but mobility and usability are restricted
Solution Approach 1:
The patent combines the computing device, EEG data processing capabilities, and peripheral device control into a single mobile computing device (smartphone or tablet). This integration eliminates the need for separate fixed computing devices and multiple physical connections, thereby maintaining processing capability while significantly improving mobility and ease of operation for users with physical challenges
Solution Approach 2:
The mobile computing device performs multiple functions: receiving EEG data wirelessly from the headset, processing the brain signals to determine actionable commands, and controlling various peripheral devices. This multi-functionality replaces the need for dedicated fixed computing equipment and multiple specialized peripherals, achieving both processing power and mobility
2Power
If fixed computing devices and multiple physically connected peripherals are used in BCI systems, then processing capability and device control are improved, but system complexity is increased
Solution Approach 1:
The patent consolidates multiple separate components (fixed computing device, EEG processing system, peripheral control interfaces) into a single mobile computing device. This merging reduces the number of physical connections and interfaces required, thereby simplifying the overall system complexity while maintaining full processing capability
Solution Approach 2:
The mobile computing device serves as a universal platform that handles EEG data reception, signal processing, and peripheral device control through wireless connections. This multi-functional approach eliminates the need for multiple specialized devices and their associated connection infrastructure, significantly reducing system complexity
Data Source
AI summary
A method includes receiving, by a mobile computing device from an electroencephalogram (EEG) monitoring headset, an incoming wireless communication signal including an EEG data stream. The method may further include processing, by an application running on the mobile computing device, the received EEG data stream to determine at least one actionable command for at least one peripheral device. The method may also include transmitting, by the mobile computing device to the at least one peripheral device, at least one outgoing wireless communication signal including the at least one determined actionable command.