Ear EEG Electrode Hearing Aid with Eye Tracking
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Solution Overview
Problem
Current hearing assistance devices lack the ability to automatically adjust settings based on user intent and require manual button presses or cumbersome EEG setups, and they cannot accurately sense the wearer's attention or cognitive state without intrusive methods.
Innovation Solution
A hearing assistance device with integrated ear EEG electrodes and eye-tracking capabilities that detect bio-signals, allowing for automatic adjustment of settings and monitoring of cognitive states through EEG and eye movement analysis, enabling hands-free control and improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual button presses are used to control hearing assistance devices, then device complexity is reduced, but ease of operation deteriorates for users with mobility issues
Solution Approach 1:
The patent replaces mechanical button presses with a brain-computer interface that detects EEG signals from the user's brain waves. This allows users to control hearing assistance devices through thought patterns rather than physical movements, eliminating the need for manual button presses while improving ease of operation for users with mobility limitations.
Solution Approach 2:
The patent introduces an intermediary system consisting of EEG electrodes and signal processing algorithms that translate brain waves into control commands. This intermediary layer bridges the gap between the user's intent and device control, enabling hands-free operation without requiring direct mechanical interaction with the device.
2Measurement precision
If traditional EEG setups are used to detect cognitive state, then measurement precision is improved, but device complexity and ease of operation worsen due to intrusive methods
Solution Approach 1:
The patent merges the EEG detection functionality with the hearing assistance device itself, integrating electrodes and signal processing capabilities into a single unified device. This combination eliminates the need for separate, intrusive EEG equipment while maintaining measurement precision for detecting cognitive states and attention levels.
Solution Approach 2:
The hearing assistance device is designed to perform multiple functions: traditional hearing amplification, cognitive state monitoring, and hands-free control. By making the device universal and multi-functional, it eliminates the need for separate specialized EEG equipment, reducing overall system complexity while maintaining measurement capabilities.
3Productivity
If hearing assistance devices lack automatic adjustment capability, then device complexity is reduced, but productivity and user experience deteriorate due to manual intervention requirements
Solution Approach 1:
The patent implements self-service functionality where the hearing assistance device automatically adjusts its settings based on real-time detection of the user's cognitive state and attention level through EEG signals. The device monitors its own operational context and makes autonomous adjustments to amplification levels and noise cancellation parameters, eliminating the need for manual intervention and improving productivity.
Solution Approach 2:
The patent incorporates feedback mechanisms where the device continuously monitors EEG signals indicating the user's cognitive state and uses this information to automatically adjust hearing assistance parameters. This closed-loop feedback system enables automatic adaptation to changing user needs, improving productivity and user experience while managing device complexity through integrated processing.
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 hearing devices and adaptive settings based on user intent and cognitive state, enhancing user experience and reducing the need for manual intervention while providing accurate attention and fatigue monitoring.
Implementation Method 1
The ear EEG electrode may advantageously be comprised in a mould configured specifically for the wearers ear canal. This will make the EEG electrode more comfortable to wear, and improve the contact between EEG electrode pad and ear canal
Implementation Method 2
a bio-signal amplifier and acquisition component in communication with a user interface for providing the bio-signals as input to the user interface
Data Source
AI summary
The present disclosure relates to communication devices. Such devices may comprise input for receiving sound signal to be processed and presented to a user, and output for outputting the processed signal to a user perceivable as sound. Such processing may be performed by use of a processor for processing the sound signal in dependence of a setting or a set of setting to compensate a hearing loss profile. Further, the communication device may comprise a bio-signal acquisition and amplifier component in communication with a user interface for providing the bio-signals as input to the user interface, the user interface controlling the setting or set of setting for operation of the communication device.