Wearable Headgear Sensor Fusion for Motion-Artifact Filtering
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Solution Overview
Problem
Existing wearable headgear for vehicle operators primarily relies on EEG sensors, which are limited in effectively monitoring vital operator conditions and are prone to motion artifacts, failing to provide comprehensive and reliable real-time feedback.
Innovation Solution
Incorporating a combination of electroencephalographic, circulatory, and environmental sensors within wearable headgear, along with a signal processing module to filter motion artifacts and a processor to generate actionable responses based on sensor outputs, enabling detection of cognitive and physiological reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If EEG sensors are used alone in wearable headgear, then the device complexity is reduced, but the measurement precision and reliability of monitoring vital operator conditions deteriorates
Solution Approach 1:
The patent combines multiple sensor types (EEG sensors, EOG sensors, and circulatory sensors) into a single wearable headgear system. This merging of different sensing modalities allows the system to simultaneously monitor cognitive state, eye movement, and physiological conditions, thereby improving measurement precision and reliability without excessively increasing device complexity.
Solution Approach 2:
The wearable headgear is designed as a multi-functional system that performs multiple monitoring functions using different sensor types. The EEG sensors monitor cognitive state, EOG sensors track eye movement, and circulatory sensors measure physiological parameters, making the device universally applicable for comprehensive operator condition monitoring.
2Device complexity
If EEG sensors are used without motion artifact filtering, then the device complexity is reduced, but the reliability of sensor output signals deteriorates due to motion artifacts
Solution Approach 1:
The patent introduces a signal processing module as an intermediary component between the sensors and the output. This module specifically filters motion artifacts from EEG and EOG signals, improving the reliability of sensor outputs. The circulatory sensors also serve as intermediaries to provide alternative physiological measurements that are less susceptible to motion artifacts.
3Ease of operation
If only EEG sensors are used, then the ease of operation is maintained, but the adaptability to detect various operator conditions deteriorates
Solution Approach 1:
The system is designed with multi-functional sensors that can detect various operator conditions. EEG sensors detect cognitive state, EOG sensors detect eye movement and fatigue, and circulatory sensors detect physiological parameters. This universal detection capability allows the system to adapt to different monitoring needs while maintaining ease of operation through automated multi-parameter monitoring.
Solution Approach 2:
The wearable headgear dynamically adjusts its monitoring capabilities by processing signals from multiple sensor types simultaneously. The system can adaptively prioritize different sensor inputs based on the detected operator condition, providing versatile detection capability while maintaining straightforward operation through automated signal processing.
Data Source
AI summary
A wearable headgear including at least a sensor positioned within the wearable headgear, wherein the at least a sensor includes at least an electroencephalographic sensor and at least a circulatory sensor, a signal processing module communicatively connected to the at least an electroencephalographic sensor, and a system including a processor, a memory communicatively connected to the a processor, the memory configuring the processor to detect a reaction as a function of the at least a sensor, generate sensor output signals as a function of the reaction, generate an action response as a function of the sensor output signals and activate an operation circuit as a function of the action response.