In-Vehicle Biometric Sensing for Real-Time Stimulus Response Analysis

The system segments data collection and processing across multiple independent vehicles, with each vehicle having its own sensors and controller that independently collect and pre-process biometric data. This distributed segmentation allows the system to handle large quantities of data from many vehicles without requiring a single complex centralized processing unit, thereby managing system complexity while increasing data quantity.

A server acts as an intermediary that receives, aggregates, and analyzes biometric data from multiple vehicles. This intermediary component centralizes the complex analysis functions while keeping individual vehicle systems relatively simple, allowing the system to process large volumes of data without proportionally increasing complexity at each node.

The system performs preliminary data collection and preparation at the vehicle level before transmission to the server. Biometric data is continuously collected and pre-processed in real-time at the source, so that when data reaches the analysis server, it is already organized and ready for immediate analysis, reducing the computational burden and enabling faster real-time assessment of stimulus effects.

Each vehicle's controller independently manages its own biometric data collection, processing, and transmission without requiring constant external intervention. This self-service approach at the vehicle level reduces the real-time computational burden on centralized systems, allowing faster local response while conserving overall computational resources.