US20240398306
2024-12-05
Human necessities
A61B5/256
Biometric information collection systems are being enhanced through innovative sensing devices that can gather a wide range of physiological data. These devices utilize multiple sensors to capture EEG, EOG, EMG, EDA, and PPG signals from a person's head and face. By integrating with VR/AR headsets, these systems can monitor how individuals physically and emotionally respond to various stimuli, potentially offering valuable insights into their conditions.
Traditional methods of collecting biometric data often rely on unnatural stimuli, limiting their effectiveness. The advent of AR and VR technologies has allowed for more natural stimuli, but current biometric systems are limited in scope and comfort. There is a need for devices that can collect diverse biometric data comfortably and efficiently. Such advancements could enhance both the usability of the devices and the breadth of data collected.
The proposed device features a multi-layered facepad designed to accommodate various sensors. The facepad includes layers for openings, circuit boards, compressible materials for electromagnetic shielding, and securing gaskets. The circuit board is flexible and hosts sensors that detect EEG, EOG, EMG, and EDA signals. Additionally, a PPG circuit board with optical sensors is included to gather PPG data.
Sensors include electrodes secured via snap connectors, featuring conductive contact surfaces for data collection. The device works with a scalp engagement apparatus containing modular electrodes designed for comfort and ease of replacement. These electrodes use spring-loaded assemblies to relieve pressure on the scalp while maintaining effective contact for signal acquisition.
The system can be used in various applications such as evaluating user responses to AR/VR content, adapting content based on user reactions, enhancing user experience through feedback, and controlling devices through physiological cues. It also holds potential for research requiring simultaneous collection of diverse biometric data.