Multimodal Biosensing Headset for Synchronized VR/AR Signal Capture
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Solution Overview
Problem
Current biosensing products are limited by their ability to collect only one type of biometric data, lack reliability and durability, are uncomfortable to wear, and require multiple devices for comprehensive data collection, leading to integration challenges due to different data formats and system clocks.
Innovation Solution
A wearable headset with modular and durable components, including a strap subsystem and facepad subsystem, equipped with multiple sensors for simultaneous collection of EEG, EOG, EMG, EDA, and PPG signals, designed for compatibility with VR/AR devices, ensuring synchronized data collection and enhanced user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple biosensing products are used to collect different types of biometric data, then data collection capability is improved, but device complexity and integration difficulty increase
Solution Approach 1:
The patent combines multiple types of biosensors (EEG, EOG, EMG, EDA, PPG) into a single integrated wearable device that can collect all these different biometric data types simultaneously from one subject, eliminating the need to use and integrate multiple separate biosensing products
Solution Approach 2:
The wearable device is designed with multi-functional capability to collect various types of biometric data (neural, ocular, muscular, dermatological, and cardiovascular signals) through a single unified platform, making it universally applicable for comprehensive physiological monitoring
2Reliability
If currently available biosensing products are used, then data collection is possible, but reliability and durability deteriorate due to components prone to wear and tear
Solution Approach 1:
The patent employs dry electrode technology that changes from traditional wet electrode design, eliminating the need for conductive gels that degrade over time. The dry electrodes maintain stable electrical contact through material science innovations, significantly improving long-term reliability and durability
Solution Approach 2:
The patent designs modular sensor components that can be easily replaced, making the system more durable overall. While individual sensor elements may be replaceable, the overall system architecture allows for maintenance without complete device replacement
3Adaptability or versatility
If multiple biosensing products are used to collect comprehensive biometric data, then data type coverage is improved, but user comfort deteriorates due to multiple devices to wear
Solution Approach 1:
The patent merges multiple separate biosensing devices into a single wearable unit that collects all desired biometric data types simultaneously, eliminating the discomfort of wearing multiple separate devices while maintaining comprehensive data collection capability
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
The system provides high-quality, accurate, and consistent biometric data collection, reducing complexity and cost by integrating multiple data types into a single device, compatible with various external systems, and enhancing user comfort and reliability.
Implementation Method 1
The types of signals may include, for example, EEG (Electroencephalography) signals
Implementation Method 2
The types of signals may include, for example, EEG (Electroencephalography) signals, EOG (Electrooculography) signals
Implementation Method 3
The types of signals may include, for example, EEG (Electroencephalography) signals, EOG (Electrooculography) signals, EMG (Electromyography) signals
Implementation Method 4
The types of signals may include, for example, EEG (Electroencephalography) signals, EOG (Electrooculography) signals, EMG (Electromyography) signals, EDA (Electrodermal activity) signals
Implementation Method 5
The types of signals may include, for example, EEG (Electroencephalography) signals, EOG (Electrooculography) signals, EMG (Electromyography) signals, EDA (Electrodermal activity) signals, and/or PPG (Photoplethysmography) signals
Data Source
AI summary
Systems, methods, and instrumentalities associated with biometrical data collection and processing are described herein, including a uniquely designed biosensing system. The biosensing system may be implemented as a wearable headset including multiple sets of physiological sensors (e.g., electrodes) configured to collect EEG, EOG, EMG, EDA, and/or PPG signals from a user's head and/or face areas. The biosensing system may be used as a standalone system or may be coupled to a VR or AR-capable device such as a VR or AR head-mounted display (HMD) to monitor a user's physiological reactions to audio/visual stimuli.